v1alpha1

package
v0.5.352 Latest Latest
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 Go to latest Published: Nov 7, 2022 License: Apache-2.0 Imports: 33 Imported by: 0

Documentation

Overview

+groupName=training.modela.ai +kubebuilder:object:generate=true

+kubebuilder:object:generate=true +groupName=training.modela.ai

Index

Constants

View Source 
const (
	AbsEnergy                               catalog.Metric = "abs-enegry"                              // 	Returns the absolute energy of the time series which is the sum over the squared values
	AbsoluteMaximum                         catalog.Metric = "abs-maximum"                             //  Calculates the highest absolute value of the time series x.
	AbsoluteSumOfChanges                    catalog.Metric = "abs-sum-of-change"                       ///Returns the sum over the absolute value of consecutive changes in the series x
	CountAboveMean                          catalog.Metric = "count_above_mean"                        // Returns the number of values in x that are higher than the mean of x
	CountBelowMean                          catalog.Metric = "count_below_mean"                        //Returns the number of values in x that are lower than the mean of x
	FirstLocationOfMaximum                  catalog.Metric = "first_location_of_maximum"               //Returns the first location of the maximum value of x.
	FirstLocationOfMinimum                  catalog.Metric = "first_location_of_minimum"               // Returns the first location of the minimal value of x.
	BenfordCorrelation                      catalog.Metric = "benford_correlation"                     //Useful for anomaly detection applications [1][2].
	HasDuplicate                            catalog.Metric = "has_duplicate"                           // has_duplicate(x)	Checks if any value in x occurs more than once
	HasDuplicateMax                         catalog.Metric = "has_duplicate_max"                       // has_duplicate_max(x)	Checks if the maximum value of x is observed more than once
	HasDuplicateMean                        catalog.Metric = "has_duplicate_min"                       // has_duplicate_min(x)	Checks if the minimal value of x is observed more than once
	Kurtosis                                catalog.Metric = "kurtosis"                                // kurtosis(x)	Returns the kurtosis of x (calculated with the adjusted Fisher-Pearson standardized moment coefficient G2).
	LastLocationOfMaximum                   catalog.Metric = "last_location_of_maximum"                //(x)	Returns the relative last location of the maximum value of x.
	LastLocationOfMinimum                   catalog.Metric = "last_location_of_minimum"                // last_location_of_minimum(x)	Returns the last location of the minimal value of x.
	Maximum                                 catalog.Metric = "maximum"                                 // maximum(x)	Calculates the highest value of the time series x.
	Mean                                    catalog.Metric = "mean"                                    // mean(x)	Returns the mean of x
	MeanAbsChange                           catalog.Metric = "mean_abs_change"                         // mean_abs_change(x)	Average over first differences.
	MeanChange                              catalog.Metric = "mean_change"                             // mean_change(x)	Average over time series differences.
	Median                                  catalog.Metric = "median"                                  // median(x)	Returns the median of x
	Minimum                                 catalog.Metric = "minimum"                                 // minimum(x)	Calculates the lowest value of the time series x.
	Root_mean_square                        catalog.Metric = "root_mean_square"                        // root_mean_square(x)	Returns the root mean square (rms) of the time series.
	Sample_entropy                          catalog.Metric = "sample_entropy"                          // sample_entropy(x)	Calculate and return sample entropy of x.
	Standard_deviation                      catalog.Metric = "standard_deviation"                      // standard_deviation(x)	Returns the standard deviation of x
	Sum_of_reoccurring_data_points          catalog.Metric = "sum_of_reoccurring_data_points"          // sum_of_reoccurring_data_points(x)	Returns the sum of all data points, that are present in the time series more than once.
	Sum_of_reoccurring_values               catalog.Metric = "sum_of_reoccurring_values"               // sum_of_reoccurring_values(x)	Returns the sum of all values, that are present in the time series more than once.
	Sum_values                              catalog.Metric = "sum_values"                              // sum_values(x)	Calculates the sum over the time series values
	Longest_strike_above_mean               catalog.Metric = "longest_strike_above_mean"               // longest_strike_above_mean(x)	Returns the length of the longest consecutive subsequence in x that is bigger than the mean of x
	Longest_strike_below_mean               catalog.Metric = "longest_strike_below_mean"               // longest_strike_below_mean(x)	Returns the length of the longest consecutive subsequence in x that is smaller than the mean of x
	Variance                                catalog.Metric = "variance"                                // variance(x)	Returns the variance of x
	Variance_larger_than_standard_deviation catalog.Metric = "variance_larger_than_standard_deviation" // variance_larger_than_standard_deviation(x)	Is variance higher than the standard deviation?
	Variation_coefficient                   catalog.Metric = "variation_coefficient"                   // variation_coefficient(x)
	Skewness                                catalog.Metric = "skewness"                                // skewness(x)	Returns the sample skewness of x (calculated with the adjusted Fisher-Pearson standardized moment coefficient G1).
)
View Source 
const (
	ReasonFailed                  = "Failed"
	ReasonTesting                 = "Testing"
	ReasonTuning                  = "Tuning"
	ReasonTuned                   = "Tuned"
	ReasonMerging                 = "Merging"
	ReasonMerged                  = "Merged"
	ReasonReporting               = "Reporting"
	ReasonProfiling               = "Profiling"
	ReasonPublishing              = "Publishing"
	ReasonReleasing               = "Releasing"
	ReasonPredicting              = "Predicting"
	ReasonCreatingTrainingSet     = "CreatingTrainingSet"
	ReasonTraining                = "Training"
	ReasonSyncing                 = "Syncing"
	ReasonGeneratingOnlineDataset = "GeneratingOnlineDataset"
	ReasonGeneratedOnlineDataset  = "GeneratedOnlineDataset"
	ReasonDeploying               = "Deploying"
	ReasonBaselining              = "Baselining"
	ReasonFeatureEngineering      = "FeatureEngineering"
	ReasonCreateEnsemble          = "CreateEnsemble"
	ReasonPausing                 = "Pausing"
	ReasonWaitingToTrain          = "WaitingToTrain"
	ReasonWaitingToTest           = "WaitingToTest"
	ReasonUnitTesting             = "UnitTesting"
)
View Source 
const (
	ModelAccuracyGreaterThan catalog.AssertionType = "accuracy-greater-than"
	// classification
	ModelAveragePrecisionGreaterThan  catalog.AssertionType = "model-average-precision-greater-than"
	ModelBalancedAccuracyGreaterThan  catalog.AssertionType = "model-balanced-accuracy-greater-than"
	ModelF1BinaryGreaterThan          catalog.AssertionType = "model-f1-greater-than"
	ModelF1MicroGreaterThan           catalog.AssertionType = "model-f1-micro-greater-than"
	ModelF1MacroGreaterThan           catalog.AssertionType = "model-f1-macro-greater-than"
	ModelF1WeightedGreaterThan        catalog.AssertionType = "model-f1-weighted-greater-than"
	ModelF1SamplesGreaterThan         catalog.AssertionType = "model-f1-samples-greater-than"
	ModelPrecisionBinaryGreaterThan   catalog.AssertionType = "model-precision-greater-than"
	ModelPrecisionMicroGreaterThan    catalog.AssertionType = "model-precision-micro-greater-than"
	ModelPrecisionMacroGreaterThan    catalog.AssertionType = "model-precision-macro-greater-than"
	ModelPrecisionWeightedGreaterThan catalog.AssertionType = "model-precision-weighted-greater-than"
	ModelPrecisionSamplesGreaterThan  catalog.AssertionType = "model-precision-samples-greater-than"
	ModelRecallBinaryGreaterThan      catalog.AssertionType = "model-recall-greater-than"
	ModelRecallMacroGreaterThan       catalog.AssertionType = "model-recall-macro-greater-than"
	ModelRecallMicroGreaterThan       catalog.AssertionType = "model-recall-micro-greater-than"
	ModelRecallWeightedGreaterThan    catalog.AssertionType = "model-recall-weighted-greater-than"
	ModelRecallSamplesGreaterThan     catalog.AssertionType = "model-recall-samples-greater-than"
	ModelLogLossLessThan              catalog.AssertionType = "model-log-loss-less-than"
	ModelRocAucGreaterThan            catalog.AssertionType = "model-auc-greater-than"
	ModelRocAucMicroGreaterThan       catalog.AssertionType = "model-auc-micro-greater-than"
	ModelRocAucMacroGreaterThan       catalog.AssertionType = "model-auc-macro-greater-than"
	ModelRocAucWeightedGreaterThan    catalog.AssertionType = "model-auc-weighted-greater-than"
	ModelPRRocAucGreaterThan          catalog.AssertionType = "model-pr-auc-greater-than"
	ModelPRRocAucMicroGreaterThan     catalog.AssertionType = "model-pr-auc-micro-greater-than"
	ModelPRRocAucMacroGreaterThan     catalog.AssertionType = "model-pr-auc-macro-greater-than"
	ModelPRRocAucWeightedGreaterThan  catalog.AssertionType = "model-pr-auc-weighted-greater-than"
	ModelZeroOneGreaterThan           catalog.AssertionType = "model-zero-one-greater-than"
	ModelHammingLossLessThan          catalog.AssertionType = "model-hamming-loss-less-than"
	ModelHingeLossLessThan            catalog.AssertionType = "model-hinge-loss-less-than"
	ModelJacquardScoreLessThan        catalog.AssertionType = "model-jacquard-loss-less-than"
	ModelMatthewsCorrCoefGreaterThan  catalog.AssertionType = "model-mcc-greater-than"
	ModelFpGreaterThan                catalog.AssertionType = "model-fp-"
	ModelFnGreaterThan                catalog.AssertionType = "model-fn"
	ModelTnGreaterThan                catalog.AssertionType = "model-tn-greater-than"
	ModelTpGreaterThan                catalog.AssertionType = "model-tp-greater-than"
	ModelTprGreaterThan               catalog.AssertionType = "model-tpr-greater-than"
	ModelFprGreaterThan               catalog.AssertionType = "model-fpr-greater-than"
	ModelTnrGreaterThan               catalog.AssertionType = "model-tnr-greater-than"
	ModelMCCGreaterThan               catalog.AssertionType = "model-matthews-corr-coef-greater-than"

	/// Regression
	ModelExplainedVarianceLessThan   catalog.AssertionType = "model-explained-variance-less-than"
	ModelMaxErrorLessThan            catalog.AssertionType = "model-max-error-less-than"
	ModelMAELessThan                 catalog.AssertionType = "model-mae-less-than"
	ModelMSELessThan                 catalog.AssertionType = "model-mse-less-than"
	ModelMSLELessThan                catalog.AssertionType = "model-msle-less-than"
	ModelRMSELessThan                catalog.AssertionType = "model-rmse-less-than"
	ModelRMSLELessThan               catalog.AssertionType = "model-rmsle-less-than"
	ModelMedianAbsoluteErrorLessThan catalog.AssertionType = "model-median-absolute-error-less-than"
	ModelR2LessThan                  catalog.AssertionType = "model-r2-less-than"
	ModelAdjR2LessThan               catalog.AssertionType = "model-adj-r2-less-than"
	ModelMeanPoissonDevianceLessThan catalog.AssertionType = "model-mean_poisson_deviance-less-than"
	ModelMeanGammaDevianceLessThan   catalog.AssertionType = "model-mean-gamma-deviance-less-than"
	ModelMeanTweedieDevianceLessThan catalog.AssertionType = "model-mean-tweedie-deviance-less-than"

	// Forecast specific
	ModelMAPELessThan  catalog.AssertionType = "model-mape-less-than"
	ModelMAZELessThan  catalog.AssertionType = "model-maze-less-than"
	ModelMDAPELessThan catalog.AssertionType = "model-mdape-less-than" // median absolute percentage error
	ModelSMAPELessThan catalog.AssertionType = "model-smape-less-than"

	//Clustering
	ModelAdjustedMutualInfoScoreBetween   catalog.AssertionType = "model-adjusted-mutual-info-score-between"
	ModelAdjustedRandScoreBetween         catalog.AssertionType = "model-adjusted-rand-score-between"
	ModelCompletenessScoreBetween         catalog.AssertionType = "model-completeness-score-between"
	ModelFowlkesMallowsScoreBetween       catalog.AssertionType = "model-fowlkes-mallows-score-between"
	ModelHomogeneityScoreBetween          catalog.AssertionType = "model-homogeneity-score-between"
	ModelMutualInfoScoreBetween           catalog.AssertionType = "model-mutual-info-score-between"
	ModelNormalizedMutualInfoScoreBetween catalog.AssertionType = "model-normalized-mutual-info-score-between"
	ModelVMeasureScoreBetween             catalog.AssertionType = "model-v-measure-score-between"

	// Infra metrics
	ServingP50LatencyLowerThan catalog.AssertionType = "serving-p50-latency-lower-than"
	ServingP95LatencyLowerThan catalog.AssertionType = "serving-p95-latency-lower-than"
	ServingP99LatencyLowerThan catalog.AssertionType = "serving-p99-latency-lower-than"
	ServingReqSecBetween       catalog.AssertionType = "req-per-sec-between"
	CpuBetween                 catalog.AssertionType = "cpu-between"
	GpuBetween                 catalog.AssertionType = "gpu-between"
	MemBetween                 catalog.AssertionType = "mem-between"
	GpuMemBetween              catalog.AssertionType = "gpu-mem-between"

	PredictorUncertainPredictionPercent catalog.AssertionType = "uncertain-prediction-percent-between"
)

////////////////////////////////////////////////////////////////////////////// Model Assertions /////////////////////////////////////////////////////////////////////////////

View Source 
const (
	ModelAccuracyGreaterThanBaseline  catalog.AssertionType = "model-accuracy-greater-than-baseline"
	ModelRocAucGreaterThanBaseline    catalog.AssertionType = "model-roc-auc-greater-than-baseline"
	ModelF1GreaterThanBaseline        catalog.AssertionType = "model-f1-greater-than-baseline"
	ModelPrecisionGreaterThanBaseline catalog.AssertionType = "model-precision-greater-than-baseline"
	ModelRecallGreaterThanBaseline    catalog.AssertionType = "model-recall-less-than-baseline"
	ModelMSELessThanBaseline          catalog.AssertionType = "model-mse-less-than-baseline"
	ModelRMSELessThanBaseline         catalog.AssertionType = "model-rmse-less-than-baseline"
	ModelMAPELessThanBaseline         catalog.AssertionType = "model-mape-less-than-baseline"
)

Assertion type compare to baseline

View Source 
const (
	DEFAULT_MIN_SCORE float64 = 0.8
)
View Source 
const NotebookTpl = `` /* 315-byte string literal not displayed */
View Source 
const PipelineLabelKey = "pipeline"

Variables

View Source 
var (
	ErrInvalidLengthGenerated        = fmt.Errorf("proto: negative length found during unmarshaling")
	ErrIntOverflowGenerated          = fmt.Errorf("proto: integer overflow")
	ErrUnexpectedEndOfGroupGenerated = fmt.Errorf("proto: unexpected end of group")
)
View Source 
var (
	// SchemeBuilder registers our types
	SchemeBuilder = k8sruntime.NewSchemeBuilder(AddKnownTypes)
	// AddToScheme local alias for SchemeBuilder.AddToScheme
	AddToScheme = SchemeBuilder.AddToScheme
)
View Source 
var SchemeGroupVersion = schema.GroupVersion{Group: training.GroupName, Version: "v1alpha1"}

SchemeGroupVersion is group version used to register these objects

Functions

func AddKnownTypes 

func AddKnownTypes(scheme *k8sruntime.Scheme) error

Adds the list of known types to api.Scheme.

func DefaultObjective 

func DefaultObjective(task catalog.MLTask) catalog.Metric

func HyperparamAsString 

func HyperparamAsString(params []HyperParameterValue) string

func Kind 

func Kind(kind string) schema.GroupKind

Kind takes an unqualified kind and returns back a Group qualified GroupKind

func Resource 

func Resource(resource string) schema.GroupResource

Resource takes an unqualified resource and returns a Group qualified GroupResource

Types

type ActivationName 

type ActivationName string
const (
	ActivationNameSoftMax     ActivationName = "softmax"
	ActivationNameElu         ActivationName = "elu"
	ActivationNameSelu        ActivationName = "selu"
	ActivationNameSoftsign    ActivationName = "softsign"
	ActivationNameRelu        ActivationName = "relu"
	ActivationNameTanh        ActivationName = "tanh"
	ActivationNameSigmoid     ActivationName = "sigmoid"
	ActivationNameHardSigmoid ActivationName = "hardsigmoid"
	ActivationNameExponential ActivationName = "exponential"
	ActivationNameLinear      ActivationName = "linear"
)

type AlgorithmSearchSpaceSpec 

type AlgorithmSearchSpaceSpec struct {
	// Which algorithm to include
	// If empty, all algorithms will be available for training
	// +kubebuilder:validation:Optional
	Include []catalog.ClassicEstimatorName `json:"include,omitempty" protobuf:"bytes,1,rep,name=include"`
	// Which algorithm to exclude
	// If empty, all algorithms will be available for training
	// +kubebuilder:validation:Optional
	Exclude []catalog.ClassicEstimatorName `json:"exclude,omitempty" protobuf:"bytes,2,rep,name=exclude"`
	// Set a custom hyper parameter spaace. This list refer to algorithm objects that define the custom paramters.
	// +kubebuilder:validation:Optional
	CustomAlgNames []v1.ObjectReference `json:"CustomAlgNames,omitempty" protobuf:"bytes,3,rep,name=customAlgNames"`
}

AlgorithmSearchSpaceSpec defines the algorithms available to models produced by a Study

func (*AlgorithmSearchSpaceSpec) DeepCopy 

func (in *AlgorithmSearchSpaceSpec) DeepCopy() *AlgorithmSearchSpaceSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new AlgorithmSearchSpaceSpec.

func (*AlgorithmSearchSpaceSpec) DeepCopyInto 

func (in *AlgorithmSearchSpaceSpec) DeepCopyInto(out *AlgorithmSearchSpaceSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*AlgorithmSearchSpaceSpec) Descriptor 

func (*AlgorithmSearchSpaceSpec) Descriptor() ([]byte, []int)

func (*AlgorithmSearchSpaceSpec) Marshal 

func (m *AlgorithmSearchSpaceSpec) Marshal() (dAtA []byte, err error)

func (*AlgorithmSearchSpaceSpec) MarshalTo 

func (m *AlgorithmSearchSpaceSpec) MarshalTo(dAtA []byte) (int, error)

func (*AlgorithmSearchSpaceSpec) MarshalToSizedBuffer 

func (m *AlgorithmSearchSpaceSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*AlgorithmSearchSpaceSpec) ProtoMessage 

func (*AlgorithmSearchSpaceSpec) ProtoMessage()

func (*AlgorithmSearchSpaceSpec) Reset 

func (m *AlgorithmSearchSpaceSpec) Reset()

func (*AlgorithmSearchSpaceSpec) Size 

func (m *AlgorithmSearchSpaceSpec) Size() (n int)

func (*AlgorithmSearchSpaceSpec) String 

func (this *AlgorithmSearchSpaceSpec) String() string

func (*AlgorithmSearchSpaceSpec) Unmarshal 

func (m *AlgorithmSearchSpaceSpec) Unmarshal(dAtA []byte) error

func (*AlgorithmSearchSpaceSpec) XXX_DiscardUnknown 

func (m *AlgorithmSearchSpaceSpec) XXX_DiscardUnknown()

func (*AlgorithmSearchSpaceSpec) XXX_Marshal 

func (m *AlgorithmSearchSpaceSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*AlgorithmSearchSpaceSpec) XXX_Merge 

func (m *AlgorithmSearchSpaceSpec) XXX_Merge(src proto.Message)

func (*AlgorithmSearchSpaceSpec) XXX_Size 

func (m *AlgorithmSearchSpaceSpec) XXX_Size() int

func (*AlgorithmSearchSpaceSpec) XXX_Unmarshal 

func (m *AlgorithmSearchSpaceSpec) XXX_Unmarshal(b []byte) error

type Anomaly added in v0.5.144 

type Anomaly struct {
	// +kubebuilder:validation:Optional
	Name string `json:"name,omitempty" protobuf:"bytes,1,opt,name=name"`
	// +kubebuilder:validation:Optional
	ValueColumn string `json:"valueColumn,omitempty" protobuf:"bytes,2,opt,name=valueColumn"`
	// +kubebuilder:validation:Optional
	AdjDeltaColumn string `json:"adjDeltaColumn,omitempty" protobuf:"bytes,3,opt,name=adjDeltaColumn"`
	// The start of the anomaly
	// +kubebuilder:validation:Optional
	Start string `json:"start,omitempty" protobuf:"bytes,4,opt,name=start"`
	// The end of the anomaly
	// +kubebuilder:validation:Optional
	End string `json:"end,omitempty" protobuf:"bytes,5,opt,name=end"`
}

func (*Anomaly) DeepCopy added in v0.5.145 

func (in *Anomaly) DeepCopy() *Anomaly

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new Anomaly.

func (*Anomaly) DeepCopyInto added in v0.5.145 

func (in *Anomaly) DeepCopyInto(out *Anomaly)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*Anomaly) Descriptor added in v0.5.144 

func (*Anomaly) Descriptor() ([]byte, []int)

func (*Anomaly) Marshal added in v0.5.144 

func (m *Anomaly) Marshal() (dAtA []byte, err error)

func (*Anomaly) MarshalTo added in v0.5.144 

func (m *Anomaly) MarshalTo(dAtA []byte) (int, error)

func (*Anomaly) MarshalToSizedBuffer added in v0.5.144 

func (m *Anomaly) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*Anomaly) ProtoMessage added in v0.5.144 

func (*Anomaly) ProtoMessage()

func (*Anomaly) Reset added in v0.5.144 

func (m *Anomaly) Reset()

func (*Anomaly) Size added in v0.5.144 

func (m *Anomaly) Size() (n int)

func (*Anomaly) String added in v0.5.144 

func (this *Anomaly) String() string

func (*Anomaly) Unmarshal added in v0.5.144 

func (m *Anomaly) Unmarshal(dAtA []byte) error

func (*Anomaly) XXX_DiscardUnknown added in v0.5.144 

func (m *Anomaly) XXX_DiscardUnknown()

func (*Anomaly) XXX_Marshal added in v0.5.144 

func (m *Anomaly) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*Anomaly) XXX_Merge added in v0.5.144 

func (m *Anomaly) XXX_Merge(src proto.Message)

func (*Anomaly) XXX_Size added in v0.5.144 

func (m *Anomaly) XXX_Size() int

func (*Anomaly) XXX_Unmarshal added in v0.5.144 

func (m *Anomaly) XXX_Unmarshal(b []byte) error

type AudioPipelineSpec 

type AudioPipelineSpec struct {
	// The date time imputer.
	// +kubebuilder:default:="auto"
	// +kubebuilder:validation:Optional
	Featurizer *catalog.AudioFeaturizer `json:"featurizer,omitempty" protobuf:"bytes,1,opt,name=featurizer"`
}

AudioPipelineSpec represents a single pipeline for preprocessing audio data

func (*AudioPipelineSpec) DeepCopy 

func (in *AudioPipelineSpec) DeepCopy() *AudioPipelineSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new AudioPipelineSpec.

func (*AudioPipelineSpec) DeepCopyInto 

func (in *AudioPipelineSpec) DeepCopyInto(out *AudioPipelineSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*AudioPipelineSpec) Descriptor 

func (*AudioPipelineSpec) Descriptor() ([]byte, []int)

func (*AudioPipelineSpec) Marshal 

func (m *AudioPipelineSpec) Marshal() (dAtA []byte, err error)

func (*AudioPipelineSpec) MarshalTo 

func (m *AudioPipelineSpec) MarshalTo(dAtA []byte) (int, error)

func (*AudioPipelineSpec) MarshalToSizedBuffer 

func (m *AudioPipelineSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*AudioPipelineSpec) ProtoMessage 

func (*AudioPipelineSpec) ProtoMessage()

func (*AudioPipelineSpec) Reset 

func (m *AudioPipelineSpec) Reset()

func (*AudioPipelineSpec) Size 

func (m *AudioPipelineSpec) Size() (n int)

func (*AudioPipelineSpec) String 

func (this *AudioPipelineSpec) String() string

func (*AudioPipelineSpec) Unmarshal 

func (m *AudioPipelineSpec) Unmarshal(dAtA []byte) error

func (*AudioPipelineSpec) XXX_DiscardUnknown 

func (m *AudioPipelineSpec) XXX_DiscardUnknown()

func (*AudioPipelineSpec) XXX_Marshal 

func (m *AudioPipelineSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*AudioPipelineSpec) XXX_Merge 

func (m *AudioPipelineSpec) XXX_Merge(src proto.Message)

func (*AudioPipelineSpec) XXX_Size 

func (m *AudioPipelineSpec) XXX_Size() int

func (*AudioPipelineSpec) XXX_Unmarshal 

func (m *AudioPipelineSpec) XXX_Unmarshal(b []byte) error

type BacktestSpec 

type BacktestSpec struct {
	// If true, use sliding windows, else use expanding windows
	// +kubebuilder:default = false
	// +kubebuilder:validation:Optional
	Sliding *bool `json:"sliding,omitempty" protobuf:"varint,1,opt,name=sliding"`
	// Number of splits. Default is 5
	// +kubebuilder:default = 5
	// +kubebuilder:validation:Optional
	Splits *int32 `json:"splits,omitempty" protobuf:"varint,2,opt,name=splits"`
	// ExpectedValueMax size for a single training set
	// +kubebuilder:default = 0
	// +kubebuilder:validation:Optional
	Initial *int32 `json:"Initial,omitempty" protobuf:"varint,3,opt,name=Initial"`
	// The number of data points between each windows
	// +kubebuilder:default = 0
	// +kubebuilder:validation:Minimum=0
	// +kubebuilder:validation:Optional
	Gap *int32 `json:"gap,omitempty" protobuf:"varint,5,opt,name=gap"`
}

BacktestSpec specify the back test

func (*BacktestSpec) DeepCopy 

func (in *BacktestSpec) DeepCopy() *BacktestSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new BacktestSpec.

func (*BacktestSpec) DeepCopyInto 

func (in *BacktestSpec) DeepCopyInto(out *BacktestSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*BacktestSpec) Descriptor 

func (*BacktestSpec) Descriptor() ([]byte, []int)

func (*BacktestSpec) Marshal 

func (m *BacktestSpec) Marshal() (dAtA []byte, err error)

func (*BacktestSpec) MarshalTo 

func (m *BacktestSpec) MarshalTo(dAtA []byte) (int, error)

func (*BacktestSpec) MarshalToSizedBuffer 

func (m *BacktestSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*BacktestSpec) ProtoMessage 

func (*BacktestSpec) ProtoMessage()

func (*BacktestSpec) Reset 

func (m *BacktestSpec) Reset()

func (*BacktestSpec) Size 

func (m *BacktestSpec) Size() (n int)

func (*BacktestSpec) String 

func (this *BacktestSpec) String() string

func (*BacktestSpec) Unmarshal 

func (m *BacktestSpec) Unmarshal(dAtA []byte) error

func (*BacktestSpec) XXX_DiscardUnknown 

func (m *BacktestSpec) XXX_DiscardUnknown()

func (*BacktestSpec) XXX_Marshal 

func (m *BacktestSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*BacktestSpec) XXX_Merge 

func (m *BacktestSpec) XXX_Merge(src proto.Message)

func (*BacktestSpec) XXX_Size 

func (m *BacktestSpec) XXX_Size() int

func (*BacktestSpec) XXX_Unmarshal 

func (m *BacktestSpec) XXX_Unmarshal(b []byte) error

type BaselineSpec 

type BaselineSpec struct {
	// Indicates if baseline models will be produced. Enabling baseline will create a model for each
	// algorithm in the parent ModelClass's search space with default hyper-parameters
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Enabled *bool `json:"enabled,omitempty" protobuf:"varint,1,opt,name=enabled"`
	// Baselines contains the collection of algorithms that models will be created with
	// +kubebuilder:validation:Optional
	Baselines []catalog.ClassicEstimatorName `json:"baselines,omitempty" protobuf:"bytes,2,rep,name=baselines"`
	// Indicates if models will be created for every algorithm
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	All *bool `json:"all,omitempty" protobuf:"varint,3,opt,name=all"`
}

BaselineSpec specifies the configuration to produce baseline models

func (*BaselineSpec) DeepCopy 

func (in *BaselineSpec) DeepCopy() *BaselineSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new BaselineSpec.

func (*BaselineSpec) DeepCopyInto 

func (in *BaselineSpec) DeepCopyInto(out *BaselineSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*BaselineSpec) Descriptor 

func (*BaselineSpec) Descriptor() ([]byte, []int)

func (*BaselineSpec) Marshal 

func (m *BaselineSpec) Marshal() (dAtA []byte, err error)

func (*BaselineSpec) MarshalTo 

func (m *BaselineSpec) MarshalTo(dAtA []byte) (int, error)

func (*BaselineSpec) MarshalToSizedBuffer 

func (m *BaselineSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*BaselineSpec) ProtoMessage 

func (*BaselineSpec) ProtoMessage()

func (*BaselineSpec) Reset 

func (m *BaselineSpec) Reset()

func (*BaselineSpec) Size 

func (m *BaselineSpec) Size() (n int)

func (*BaselineSpec) String 

func (this *BaselineSpec) String() string

func (*BaselineSpec) Unmarshal 

func (m *BaselineSpec) Unmarshal(dAtA []byte) error

func (*BaselineSpec) XXX_DiscardUnknown 

func (m *BaselineSpec) XXX_DiscardUnknown()

func (*BaselineSpec) XXX_Marshal 

func (m *BaselineSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*BaselineSpec) XXX_Merge 

func (m *BaselineSpec) XXX_Merge(src proto.Message)

func (*BaselineSpec) XXX_Size 

func (m *BaselineSpec) XXX_Size() int

func (*BaselineSpec) XXX_Unmarshal 

func (m *BaselineSpec) XXX_Unmarshal(b []byte) error

type CapacityStageSpec 

type CapacityStageSpec struct {
	// Enabled indicates that the stage is enabled
	// +kubebuilder:default:=false
	//+kubebuilder:validation:Optional
	Enabled *bool `json:"enabled,omitempty" protobuf:"varint,1,opt,name=enabled"`
	// ServingSiteName is the serving site for the testing during the capacity stage
	// If the serving site is empty or null, the system will skip the capacity stage unit tests.
	// +kubebuilder:default =""
	// +kubebuilder:validation:Optional
	ServingSiteName *string `json:"servingSiteName,omitempty" protobuf:"bytes,2,opt,name=servingSiteName"`
	// Validations is the specification of tests to run in this stage
	// +kubebuilder:validation:Optional
	UnitTests ModelTestSuite `json:"unitTests,omitempty" protobuf:"bytes,3,opt,name=unitTests"`
	// Resource define the hardware resources req.
	// +kubebuilder:validation:Optional
	Resources catalog.ResourceSpec `json:"resources,omitempty" protobuf:"bytes,4,opt,name=resources"`
}

CapacityStageSpec is the desired state of the capcity testing.

func (*CapacityStageSpec) DeepCopy 

func (in *CapacityStageSpec) DeepCopy() *CapacityStageSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new CapacityStageSpec.

func (*CapacityStageSpec) DeepCopyInto 

func (in *CapacityStageSpec) DeepCopyInto(out *CapacityStageSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*CapacityStageSpec) Descriptor 

func (*CapacityStageSpec) Descriptor() ([]byte, []int)

func (*CapacityStageSpec) Marshal 

func (m *CapacityStageSpec) Marshal() (dAtA []byte, err error)

func (*CapacityStageSpec) MarshalTo 

func (m *CapacityStageSpec) MarshalTo(dAtA []byte) (int, error)

func (*CapacityStageSpec) MarshalToSizedBuffer 

func (m *CapacityStageSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*CapacityStageSpec) ProtoMessage 

func (*CapacityStageSpec) ProtoMessage()

func (*CapacityStageSpec) Reset 

func (m *CapacityStageSpec) Reset()

func (*CapacityStageSpec) Size 

func (m *CapacityStageSpec) Size() (n int)

func (*CapacityStageSpec) String 

func (this *CapacityStageSpec) String() string

func (*CapacityStageSpec) Unmarshal 

func (m *CapacityStageSpec) Unmarshal(dAtA []byte) error

func (*CapacityStageSpec) XXX_DiscardUnknown 

func (m *CapacityStageSpec) XXX_DiscardUnknown()

func (*CapacityStageSpec) XXX_Marshal 

func (m *CapacityStageSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*CapacityStageSpec) XXX_Merge 

func (m *CapacityStageSpec) XXX_Merge(src proto.Message)

func (*CapacityStageSpec) XXX_Size 

func (m *CapacityStageSpec) XXX_Size() int

func (*CapacityStageSpec) XXX_Unmarshal 

func (m *CapacityStageSpec) XXX_Unmarshal(b []byte) error

type ChangePoint added in v0.5.140 

type ChangePoint struct {
}

func (*ChangePoint) DeepCopy added in v0.5.140 

func (in *ChangePoint) DeepCopy() *ChangePoint

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ChangePoint.

func (*ChangePoint) DeepCopyInto added in v0.5.140 

func (in *ChangePoint) DeepCopyInto(out *ChangePoint)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ChangePoint) Descriptor added in v0.5.140 

func (*ChangePoint) Descriptor() ([]byte, []int)

func (*ChangePoint) Marshal added in v0.5.140 

func (m *ChangePoint) Marshal() (dAtA []byte, err error)

func (*ChangePoint) MarshalTo added in v0.5.140 

func (m *ChangePoint) MarshalTo(dAtA []byte) (int, error)

func (*ChangePoint) MarshalToSizedBuffer added in v0.5.140 

func (m *ChangePoint) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ChangePoint) ProtoMessage added in v0.5.140 

func (*ChangePoint) ProtoMessage()

func (*ChangePoint) Reset added in v0.5.140 

func (m *ChangePoint) Reset()

func (*ChangePoint) Size added in v0.5.140 

func (m *ChangePoint) Size() (n int)

func (*ChangePoint) String added in v0.5.140 

func (this *ChangePoint) String() string

func (*ChangePoint) Unmarshal added in v0.5.140 

func (m *ChangePoint) Unmarshal(dAtA []byte) error

func (*ChangePoint) XXX_DiscardUnknown added in v0.5.140 

func (m *ChangePoint) XXX_DiscardUnknown()

func (*ChangePoint) XXX_Marshal added in v0.5.140 

func (m *ChangePoint) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ChangePoint) XXX_Merge added in v0.5.140 

func (m *ChangePoint) XXX_Merge(src proto.Message)

func (*ChangePoint) XXX_Size added in v0.5.140 

func (m *ChangePoint) XXX_Size() int

func (*ChangePoint) XXX_Unmarshal added in v0.5.140 

func (m *ChangePoint) XXX_Unmarshal(b []byte) error

type ChatbotEstimatorSpec 

type ChatbotEstimatorSpec struct {
	// The name of the base model
	// +kubebuilder:validation:Optional
	Base *string `json:"base,omitempty" protobuf:"bytes,1,opt,name=base"`
}

ChatbotEstimatorSpec specifies the configuration for a chatbot model

func (*ChatbotEstimatorSpec) DeepCopy 

func (in *ChatbotEstimatorSpec) DeepCopy() *ChatbotEstimatorSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ChatbotEstimatorSpec.

func (*ChatbotEstimatorSpec) DeepCopyInto 

func (in *ChatbotEstimatorSpec) DeepCopyInto(out *ChatbotEstimatorSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ChatbotEstimatorSpec) Descriptor 

func (*ChatbotEstimatorSpec) Descriptor() ([]byte, []int)

func (*ChatbotEstimatorSpec) Marshal 

func (m *ChatbotEstimatorSpec) Marshal() (dAtA []byte, err error)

func (*ChatbotEstimatorSpec) MarshalTo 

func (m *ChatbotEstimatorSpec) MarshalTo(dAtA []byte) (int, error)

func (*ChatbotEstimatorSpec) MarshalToSizedBuffer 

func (m *ChatbotEstimatorSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ChatbotEstimatorSpec) ProtoMessage 

func (*ChatbotEstimatorSpec) ProtoMessage()

func (*ChatbotEstimatorSpec) Reset 

func (m *ChatbotEstimatorSpec) Reset()

func (*ChatbotEstimatorSpec) Size 

func (m *ChatbotEstimatorSpec) Size() (n int)

func (*ChatbotEstimatorSpec) String 

func (this *ChatbotEstimatorSpec) String() string

func (*ChatbotEstimatorSpec) Unmarshal 

func (m *ChatbotEstimatorSpec) Unmarshal(dAtA []byte) error

func (*ChatbotEstimatorSpec) XXX_DiscardUnknown 

func (m *ChatbotEstimatorSpec) XXX_DiscardUnknown()

func (*ChatbotEstimatorSpec) XXX_Marshal 

func (m *ChatbotEstimatorSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ChatbotEstimatorSpec) XXX_Merge 

func (m *ChatbotEstimatorSpec) XXX_Merge(src proto.Message)

func (*ChatbotEstimatorSpec) XXX_Size 

func (m *ChatbotEstimatorSpec) XXX_Size() int

func (*ChatbotEstimatorSpec) XXX_Unmarshal 

func (m *ChatbotEstimatorSpec) XXX_Unmarshal(b []byte) error

type CheckpointSpec added in v0.4.513 

type CheckpointSpec struct {
	// Indicates if checkpointing is enabled.
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Enabled *bool `json:"enabled,omitempty" protobuf:"varint,1,rep,name=enabled"`
	// The interval, in minutes, at which a snapshot of a partially trained model will be saved.
	// Applicable to models with long training times for resiliency if training is suddenly stopped
	// +kubebuilder:validation:Optional
	// +kubebuilder:default:=10
	// +kubebuilder:validation:Minimum=0
	CheckpointInterval *int32 `json:"checkpointInterval,omitempty" protobuf:"varint,2,opt,name=checkpointInterval"`
	// The location of the model checkpoint
	// +kubebuilder:validation:Optional
	Location data.DataLocation `json:"location,omitempty" protobuf:"bytes,3,opt,name=location"`
}

CheckpointSpec specifies where to store model checkpoints

func (*CheckpointSpec) DeepCopy added in v0.4.513 

func (in *CheckpointSpec) DeepCopy() *CheckpointSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new CheckpointSpec.

func (*CheckpointSpec) DeepCopyInto added in v0.4.513 

func (in *CheckpointSpec) DeepCopyInto(out *CheckpointSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*CheckpointSpec) Descriptor added in v0.4.513 

func (*CheckpointSpec) Descriptor() ([]byte, []int)

func (*CheckpointSpec) Marshal added in v0.4.513 

func (m *CheckpointSpec) Marshal() (dAtA []byte, err error)

func (*CheckpointSpec) MarshalTo added in v0.4.513 

func (m *CheckpointSpec) MarshalTo(dAtA []byte) (int, error)

func (*CheckpointSpec) MarshalToSizedBuffer added in v0.4.513 

func (m *CheckpointSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*CheckpointSpec) ProtoMessage added in v0.4.513 

func (*CheckpointSpec) ProtoMessage()

func (*CheckpointSpec) Reset added in v0.4.513 

func (m *CheckpointSpec) Reset()

func (*CheckpointSpec) Size added in v0.4.513 

func (m *CheckpointSpec) Size() (n int)

func (*CheckpointSpec) String added in v0.4.513 

func (this *CheckpointSpec) String() string

func (*CheckpointSpec) Unmarshal added in v0.4.513 

func (m *CheckpointSpec) Unmarshal(dAtA []byte) error

func (*CheckpointSpec) XXX_DiscardUnknown added in v0.4.513 

func (m *CheckpointSpec) XXX_DiscardUnknown()

func (*CheckpointSpec) XXX_Marshal added in v0.4.513 

func (m *CheckpointSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*CheckpointSpec) XXX_Merge added in v0.4.513 

func (m *CheckpointSpec) XXX_Merge(src proto.Message)

func (*CheckpointSpec) XXX_Size added in v0.4.513 

func (m *CheckpointSpec) XXX_Size() int

func (*CheckpointSpec) XXX_Unmarshal added in v0.4.513 

func (m *CheckpointSpec) XXX_Unmarshal(b []byte) error

type ClassicalEstimatorSpec 

type ClassicalEstimatorSpec struct {
	// AlgorithmName is a reference to the algorithm in the catalog
	AlgorithmName string `json:"algorithmName,omitempty" protobuf:"bytes,1,opt,name=algorithmName"`
	// Parameters is a list of the algorithm hyper parameters
	Parameters []HyperParameterValue `json:"parameters,omitempty" protobuf:"bytes,2,rep,name=parameters,casttype=HyperParameterValue"`
}

ClassicalEstimatorSpec is the specification for an algorithm and the actual value fof the hyper parameters

func (*ClassicalEstimatorSpec) DeepCopy 

func (in *ClassicalEstimatorSpec) DeepCopy() *ClassicalEstimatorSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ClassicalEstimatorSpec.

func (*ClassicalEstimatorSpec) DeepCopyInto 

func (in *ClassicalEstimatorSpec) DeepCopyInto(out *ClassicalEstimatorSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ClassicalEstimatorSpec) Descriptor 

func (*ClassicalEstimatorSpec) Descriptor() ([]byte, []int)

func (*ClassicalEstimatorSpec) Marshal 

func (m *ClassicalEstimatorSpec) Marshal() (dAtA []byte, err error)

func (*ClassicalEstimatorSpec) MarshalTo 

func (m *ClassicalEstimatorSpec) MarshalTo(dAtA []byte) (int, error)

func (*ClassicalEstimatorSpec) MarshalToSizedBuffer 

func (m *ClassicalEstimatorSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ClassicalEstimatorSpec) ProtoMessage 

func (*ClassicalEstimatorSpec) ProtoMessage()

func (*ClassicalEstimatorSpec) Reset 

func (m *ClassicalEstimatorSpec) Reset()

func (*ClassicalEstimatorSpec) Size 

func (m *ClassicalEstimatorSpec) Size() (n int)

func (*ClassicalEstimatorSpec) String 

func (this *ClassicalEstimatorSpec) String() string

func (*ClassicalEstimatorSpec) Unmarshal 

func (m *ClassicalEstimatorSpec) Unmarshal(dAtA []byte) error

func (*ClassicalEstimatorSpec) XXX_DiscardUnknown 

func (m *ClassicalEstimatorSpec) XXX_DiscardUnknown()

func (*ClassicalEstimatorSpec) XXX_Marshal 

func (m *ClassicalEstimatorSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ClassicalEstimatorSpec) XXX_Merge 

func (m *ClassicalEstimatorSpec) XXX_Merge(src proto.Message)

func (*ClassicalEstimatorSpec) XXX_Size 

func (m *ClassicalEstimatorSpec) XXX_Size() int

func (*ClassicalEstimatorSpec) XXX_Unmarshal 

func (m *ClassicalEstimatorSpec) XXX_Unmarshal(b []byte) error

type ConstraintName 

type ConstraintName string
const (
	ConstraintNameMaxNorm    ConstraintName = "max-norm"
	ConstraintNameNonNeg     ConstraintName = "non-reg"
	ConstraintNameUnitNorm   ConstraintName = "unit-norm"
	ConstraintNameMinMaxNorm ConstraintName = "max-norm"
	ConstraintNameNone       ConstraintName = "none"
)

type CustomReportSpec 

type CustomReportSpec struct {
	// Pages contains a collection of custom pages that will be appended to a Report
	Pages []data.PageSpec `json:"pages,omitempty" protobuf:"bytes,8,opt,name=pages"`
}

func (*CustomReportSpec) DeepCopy 

func (in *CustomReportSpec) DeepCopy() *CustomReportSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new CustomReportSpec.

func (*CustomReportSpec) DeepCopyInto 

func (in *CustomReportSpec) DeepCopyInto(out *CustomReportSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*CustomReportSpec) Descriptor 

func (*CustomReportSpec) Descriptor() ([]byte, []int)

func (*CustomReportSpec) Marshal 

func (m *CustomReportSpec) Marshal() (dAtA []byte, err error)

func (*CustomReportSpec) MarshalTo 

func (m *CustomReportSpec) MarshalTo(dAtA []byte) (int, error)

func (*CustomReportSpec) MarshalToSizedBuffer 

func (m *CustomReportSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*CustomReportSpec) ProtoMessage 

func (*CustomReportSpec) ProtoMessage()

func (*CustomReportSpec) Reset 

func (m *CustomReportSpec) Reset()

func (*CustomReportSpec) Size 

func (m *CustomReportSpec) Size() (n int)

func (*CustomReportSpec) String 

func (this *CustomReportSpec) String() string

func (*CustomReportSpec) Unmarshal 

func (m *CustomReportSpec) Unmarshal(dAtA []byte) error

func (*CustomReportSpec) XXX_DiscardUnknown 

func (m *CustomReportSpec) XXX_DiscardUnknown()

func (*CustomReportSpec) XXX_Marshal 

func (m *CustomReportSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*CustomReportSpec) XXX_Merge 

func (m *CustomReportSpec) XXX_Merge(src proto.Message)

func (*CustomReportSpec) XXX_Size 

func (m *CustomReportSpec) XXX_Size() int

func (*CustomReportSpec) XXX_Unmarshal 

func (m *CustomReportSpec) XXX_Unmarshal(b []byte) error

type DNNTypeName 

type DNNTypeName string
const (
	Mlp  DNNTypeName = "mlp"
	Conv DNNTypeName = "cnn"
	Rnn  DNNTypeName = "rnn"
)

type DataHashes 

type DataHashes struct {
	// +kubebuilder:default:=""
	// +kubebuilder:validation:Optional
	TrainingHash string `json:"trainingHash,omitempty" protobuf:"bytes,1,opt,name=trainHash"`
	// +kubebuilder:default:=""
	// +kubebuilder:validation:Optional
	TestingHash string `json:"testingHash,omitempty" protobuf:"bytes,2,opt,name=testingHash"`
	// +kubebuilder:default:=""
	// +kubebuilder:validation:Optional
	ValidationHash string `json:"validationHash,omitempty" protobuf:"bytes,3,opt,name=validationHash"`
}

DataHashes contains the hashes for datasets used during model training

func (*DataHashes) DeepCopy 

func (in *DataHashes) DeepCopy() *DataHashes

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new DataHashes.

func (*DataHashes) DeepCopyInto 

func (in *DataHashes) DeepCopyInto(out *DataHashes)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*DataHashes) Descriptor 

func (*DataHashes) Descriptor() ([]byte, []int)

func (*DataHashes) Marshal 

func (m *DataHashes) Marshal() (dAtA []byte, err error)

func (*DataHashes) MarshalTo 

func (m *DataHashes) MarshalTo(dAtA []byte) (int, error)

func (*DataHashes) MarshalToSizedBuffer 

func (m *DataHashes) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*DataHashes) ProtoMessage 

func (*DataHashes) ProtoMessage()

func (*DataHashes) Reset 

func (m *DataHashes) Reset()

func (*DataHashes) Size 

func (m *DataHashes) Size() (n int)

func (*DataHashes) String 

func (this *DataHashes) String() string

func (*DataHashes) Unmarshal 

func (m *DataHashes) Unmarshal(dAtA []byte) error

func (*DataHashes) XXX_DiscardUnknown 

func (m *DataHashes) XXX_DiscardUnknown()

func (*DataHashes) XXX_Marshal 

func (m *DataHashes) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*DataHashes) XXX_Merge 

func (m *DataHashes) XXX_Merge(src proto.Message)

func (*DataHashes) XXX_Size 

func (m *DataHashes) XXX_Size() int

func (*DataHashes) XXX_Unmarshal 

func (m *DataHashes) XXX_Unmarshal(b []byte) error

type DataSplitSpec 

type DataSplitSpec struct {
	// The type of split method
	// +kubebuilder:default:="auto"
	// +kubebuilder:validation:Optional
	Method *catalog.DataSplitMethod `json:"method,omitempty" protobuf:"bytes,1,opt,name=method"`
	// The number percentage (0 through 100) of rows that will be allocated to the training dataset
	// +kubebuilder:validation:Optional
	// +kubebuilder:default:=80
	// +kubebuilder:validation:Minimum=1
	// +kubebuilder:validation:Maximum=100
	Train *int32 `json:"train,omitempty" protobuf:"varint,2,opt,name=train"`
	// The number percentage (0 through 100) of rows that will be allocated to the validation dataset.
	// If Validation is set to 0 the model will default to use cross-validation
	// +kubebuilder:validation:Minimum=0
	// +kubebuilder:default:=0
	// +kubebuilder:validation:Maximum=50
	// +kubebuilder:validation:Optional
	Validation *int32 `json:"validation,omitempty" protobuf:"varint,3,opt,name=validation"`
	// The number percentage (0 through 100) of rows that will be allocated to the training dataset
	// +kubebuilder:validation:Minimum=0
	// +kubebuilder:validation:Maximum=100
	// +kubebuilder:default:=20
	// +kubebuilder:validation:Optional
	Test *int32 `json:"test,omitempty" protobuf:"varint,4,opt,name=test"`
	// The name of the column containing a binary value that indicates if the row should be split.
	// The split type must use split-column in order for SplitColumn to have an effect
	// +kubebuilder:validation:Optional
	SplitColumn *string `json:"splitColumn,omitempty" protobuf:"bytes,5,opt,name=splitColumn"`
	// The collection of segments
	// +kubebuilder:validation:Optional
	Segments []SegmentSpec `json:"segments,omitempty" protobuf:"bytes,6,rep,name=segments"`
	// The name of the Entity resource which will be used as the training dataset
	// +kubebuilder:default:=""
	// +kubebuilder:validation:Optional
	TrainDatasetName *string `json:"trainDataset,omitempty" protobuf:"bytes,7,rep,name=trainDataset"`
	// The name of the Entity resource which will be used as the testing dataset, applicable
	// if the split type uses test-dataset. If enabled, the training dataset will not be split and used as-is
	// If empty, we will not use test dataset
	// +kubebuilder:default:=""
	// +kubebuilder:validation:Optional
	TestDatasetName *string `json:"testDataset,omitempty" protobuf:"bytes,8,rep,name=testDataset"`
	// The name of the Entity resource which will be used as the validation dataset, applicable
	// if the split type uses test-dataset. If enabled, the training dataset will not be split and used as-is
	// +kubebuilder:default:=""
	// +kubebuilder:validation:Optional
	ValidationDatasetName *string `json:"validationDataset,omitempty" protobuf:"bytes,9,rep,name=validationDataset"`
}

DataSplitSpec specifies the configuration to split a dataset into training and testing datasets

func (*DataSplitSpec) DeepCopy 

func (in *DataSplitSpec) DeepCopy() *DataSplitSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new DataSplitSpec.

func (*DataSplitSpec) DeepCopyInto 

func (in *DataSplitSpec) DeepCopyInto(out *DataSplitSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*DataSplitSpec) Descriptor 

func (*DataSplitSpec) Descriptor() ([]byte, []int)

func (*DataSplitSpec) Marshal 

func (m *DataSplitSpec) Marshal() (dAtA []byte, err error)

func (*DataSplitSpec) MarshalTo 

func (m *DataSplitSpec) MarshalTo(dAtA []byte) (int, error)

func (*DataSplitSpec) MarshalToSizedBuffer 

func (m *DataSplitSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*DataSplitSpec) ProtoMessage 

func (*DataSplitSpec) ProtoMessage()

func (*DataSplitSpec) Reset 

func (m *DataSplitSpec) Reset()

func (*DataSplitSpec) Size 

func (m *DataSplitSpec) Size() (n int)

func (*DataSplitSpec) String 

func (this *DataSplitSpec) String() string

func (*DataSplitSpec) Unmarshal 

func (m *DataSplitSpec) Unmarshal(dAtA []byte) error

func (*DataSplitSpec) XXX_DiscardUnknown 

func (m *DataSplitSpec) XXX_DiscardUnknown()

func (*DataSplitSpec) XXX_Marshal 

func (m *DataSplitSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*DataSplitSpec) XXX_Merge 

func (m *DataSplitSpec) XXX_Merge(src proto.Message)

func (*DataSplitSpec) XXX_Size 

func (m *DataSplitSpec) XXX_Size() int

func (*DataSplitSpec) XXX_Unmarshal 

func (m *DataSplitSpec) XXX_Unmarshal(b []byte) error

type DataStageSpec 

type DataStageSpec struct {
	// Enabled indicates that the stage is enabled
	// +kubebuilder:default:=true
	Enabled *bool `json:"enabled,omitempty" protobuf:"varint,1,opt,name=enabled"`
	// LabName is the lab that execute processing of the data pipeline
	// +kubebuilder:default =""
	// +kubebuilder:validation:Optional
	LabName *string `json:"labName,omitempty" protobuf:"bytes,2,opt,name=labName"`
	// If not null, run the data pipeline and create a dataset. else, use the data in the data location
	// +kubebuilder:default =""
	// +kubebuilder:validation:Optional
	DataPipelineName *string `json:"dataPipelineName,omitempty" protobuf:"bytes,3,opt,name=datapipelineName"`
	// If Not null, run a docker image is used in order to generate the data.
	// The data must reside in location after the container run
	// Not supported in first release.
	// +kubebuilder:default =""
	// +kubebuilder:validation:Optional
	DockerImage *string `json:"dockerImage,omitempty" protobuf:"bytes,4,opt,name=dockerImage"`
}

DataStageSpec is the desired state of the data preprocessing step of the pipeline. Location preprocessing will be done via

func (*DataStageSpec) DeepCopy 

func (in *DataStageSpec) DeepCopy() *DataStageSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new DataStageSpec.

func (*DataStageSpec) DeepCopyInto 

func (in *DataStageSpec) DeepCopyInto(out *DataStageSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*DataStageSpec) Descriptor 

func (*DataStageSpec) Descriptor() ([]byte, []int)

func (*DataStageSpec) Marshal 

func (m *DataStageSpec) Marshal() (dAtA []byte, err error)

func (*DataStageSpec) MarshalTo 

func (m *DataStageSpec) MarshalTo(dAtA []byte) (int, error)

func (*DataStageSpec) MarshalToSizedBuffer 

func (m *DataStageSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*DataStageSpec) ProtoMessage 

func (*DataStageSpec) ProtoMessage()

func (*DataStageSpec) Reset 

func (m *DataStageSpec) Reset()

func (*DataStageSpec) Size 

func (m *DataStageSpec) Size() (n int)

func (*DataStageSpec) String 

func (this *DataStageSpec) String() string

func (*DataStageSpec) Unmarshal 

func (m *DataStageSpec) Unmarshal(dAtA []byte) error

func (*DataStageSpec) XXX_DiscardUnknown 

func (m *DataStageSpec) XXX_DiscardUnknown()

func (*DataStageSpec) XXX_Marshal 

func (m *DataStageSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*DataStageSpec) XXX_Merge 

func (m *DataStageSpec) XXX_Merge(src proto.Message)

func (*DataStageSpec) XXX_Size 

func (m *DataStageSpec) XXX_Size() int

func (*DataStageSpec) XXX_Unmarshal 

func (m *DataStageSpec) XXX_Unmarshal(b []byte) error

type DeepEstimatorLayer 

type DeepEstimatorLayer struct {
	// Name is the name of the layer
	Name string `json:"name" protobuf:"bytes,1,opt,name=name"`
	// Type is the type of the layers
	Type NNLayerName `json:"type" protobuf:"bytes,2,opt,name=type"`
	// Parameters are the hyper parameters of this layer
	Parameters []NNLayerParameter `json:"parameters" protobuf:"bytes,3,rep,name=parameters"`
	// InputLayers are the layer input to this layer
	InputLayers []string `json:"inputLayers" protobuf:"bytes,4,rep,name=inputLayers"`
}

func (*DeepEstimatorLayer) DeepCopy 

func (in *DeepEstimatorLayer) DeepCopy() *DeepEstimatorLayer

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new DeepEstimatorLayer.

func (*DeepEstimatorLayer) DeepCopyInto 

func (in *DeepEstimatorLayer) DeepCopyInto(out *DeepEstimatorLayer)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*DeepEstimatorLayer) Descriptor 

func (*DeepEstimatorLayer) Descriptor() ([]byte, []int)

func (*DeepEstimatorLayer) Marshal 

func (m *DeepEstimatorLayer) Marshal() (dAtA []byte, err error)

func (*DeepEstimatorLayer) MarshalTo 

func (m *DeepEstimatorLayer) MarshalTo(dAtA []byte) (int, error)

func (*DeepEstimatorLayer) MarshalToSizedBuffer 

func (m *DeepEstimatorLayer) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*DeepEstimatorLayer) ProtoMessage 

func (*DeepEstimatorLayer) ProtoMessage()

func (*DeepEstimatorLayer) Reset 

func (m *DeepEstimatorLayer) Reset()

func (*DeepEstimatorLayer) Size 

func (m *DeepEstimatorLayer) Size() (n int)

func (*DeepEstimatorLayer) String 

func (this *DeepEstimatorLayer) String() string

func (*DeepEstimatorLayer) Unmarshal 

func (m *DeepEstimatorLayer) Unmarshal(dAtA []byte) error

func (*DeepEstimatorLayer) XXX_DiscardUnknown 

func (m *DeepEstimatorLayer) XXX_DiscardUnknown()

func (*DeepEstimatorLayer) XXX_Marshal 

func (m *DeepEstimatorLayer) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*DeepEstimatorLayer) XXX_Merge 

func (m *DeepEstimatorLayer) XXX_Merge(src proto.Message)

func (*DeepEstimatorLayer) XXX_Size 

func (m *DeepEstimatorLayer) XXX_Size() int

func (*DeepEstimatorLayer) XXX_Unmarshal 

func (m *DeepEstimatorLayer) XXX_Unmarshal(b []byte) error

type DeepEstimatorSpec 

type DeepEstimatorSpec struct {
	// Layers is the dnn architecture
	// +kubebuilder:validation:Optional
	Layers []DeepEstimatorLayer `json:"layers,omitempty" protobuf:"bytes,1,rep,name=layers"`
	// The type of the dnn
	// +kubebuilder:validation:Optional
	Type *DNNTypeName `json:"type,omitempty" protobuf:"bytes,2,opt,name=type"`
	// Batch size specify about
	// +kubebuilder:validation:Minimum=0
	// +kubebuilder:validation:Optional
	BatchSize *int32 `json:"batchSize,omitempty" protobuf:"varint,3,opt,name=batchSize"`
	// Budget size specify about
	// +kubebuilder:validation:Minimum=0
	// +kubebuilder:validation:Optional
	Epochs *int32 `json:"epochs,omitempty" protobuf:"varint,4,opt,name=epochs"`
	// ValidationSplit specify about
	// +kubebuilder:validation:Minimum=0
	// +kubebuilder:validation:Optional
	ValidationSplit *int32 `json:"validationSplit,omitempty" protobuf:"varint,5,opt,name=validationSplit"`
	// Is this a seq model
	// +kubebuilder:validation:Optional
	Seq *bool `json:"isSeq,omitempty" protobuf:"varint,6,opt,name=isSeq"`
	// Gpus denote of gpu for trainer, any number more than 1 denote distribute training
	// +kubebuilder:validation:Minimum=0
	// +kubebuilder:validation:Optional
	Gpus *int32 `json:"gpus,omitempty" protobuf:"varint,7,opt,name=gpus"`
	// compile
	// +kubebuilder:validation:Optional
	Loss string `json:"loss,omitempty" protobuf:"bytes,8,opt,name=loss"`
}

func (*DeepEstimatorSpec) DeepCopy 

func (in *DeepEstimatorSpec) DeepCopy() *DeepEstimatorSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new DeepEstimatorSpec.

func (*DeepEstimatorSpec) DeepCopyInto 

func (in *DeepEstimatorSpec) DeepCopyInto(out *DeepEstimatorSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*DeepEstimatorSpec) Descriptor 

func (*DeepEstimatorSpec) Descriptor() ([]byte, []int)

func (*DeepEstimatorSpec) Marshal 

func (m *DeepEstimatorSpec) Marshal() (dAtA []byte, err error)

func (*DeepEstimatorSpec) MarshalTo 

func (m *DeepEstimatorSpec) MarshalTo(dAtA []byte) (int, error)

func (*DeepEstimatorSpec) MarshalToSizedBuffer 

func (m *DeepEstimatorSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*DeepEstimatorSpec) ProtoMessage 

func (*DeepEstimatorSpec) ProtoMessage()

func (*DeepEstimatorSpec) Reset 

func (m *DeepEstimatorSpec) Reset()

func (*DeepEstimatorSpec) Size 

func (m *DeepEstimatorSpec) Size() (n int)

func (*DeepEstimatorSpec) String 

func (this *DeepEstimatorSpec) String() string

func (*DeepEstimatorSpec) Unmarshal 

func (m *DeepEstimatorSpec) Unmarshal(dAtA []byte) error

func (*DeepEstimatorSpec) XXX_DiscardUnknown 

func (m *DeepEstimatorSpec) XXX_DiscardUnknown()

func (*DeepEstimatorSpec) XXX_Marshal 

func (m *DeepEstimatorSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*DeepEstimatorSpec) XXX_Merge 

func (m *DeepEstimatorSpec) XXX_Merge(src proto.Message)

func (*DeepEstimatorSpec) XXX_Size 

func (m *DeepEstimatorSpec) XXX_Size() int

func (*DeepEstimatorSpec) XXX_Unmarshal 

func (m *DeepEstimatorSpec) XXX_Unmarshal(b []byte) error

type DeploymentStageSpec 

type DeploymentStageSpec struct {
	// Enabled indicates that we want to release the model into production
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	Enabled *bool `json:"enabled,omitempty" protobuf:"varint,1,opt,name=enabled"`
	// ServingSiteName is the serving site for the release, if empty, the system will use the default serving site name
	// +kubebuilder:default =""
	// +kubebuilder:validation:Optional
	ServingSiteName *string `json:"servingSiteName,omitempty" protobuf:"bytes,2,opt,name=servingSiteName"`
	// ManualApproval dentoes if we need manual approval before advancing from deployed to released
	// By default a user is needed to approve the release to production
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	ManualApproval *bool `json:"manualApproval,omitempty" protobuf:"varint,3,opt,name=manualApproval"`
	// Tests is the specification of tests to run in this stage
	// +kubebuilder:validation:Optional
	UnitTests ModelTestSuite `json:"unitTests,omitempty" protobuf:"bytes,4,opt,name=unitTests"`
	// Resource define the hardware resources req.
	// +kubebuilder:validation:Optional
	Resources catalog.ResourceSpec `json:"resources,omitempty" protobuf:"bytes,5,opt,name=resources"`
}

DeploymentStageSpec define the testing and releasing the resulting model to production.

func (*DeploymentStageSpec) DeepCopy 

func (in *DeploymentStageSpec) DeepCopy() *DeploymentStageSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new DeploymentStageSpec.

func (*DeploymentStageSpec) DeepCopyInto 

func (in *DeploymentStageSpec) DeepCopyInto(out *DeploymentStageSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*DeploymentStageSpec) Descriptor 

func (*DeploymentStageSpec) Descriptor() ([]byte, []int)

func (*DeploymentStageSpec) Marshal 

func (m *DeploymentStageSpec) Marshal() (dAtA []byte, err error)

func (*DeploymentStageSpec) MarshalTo 

func (m *DeploymentStageSpec) MarshalTo(dAtA []byte) (int, error)

func (*DeploymentStageSpec) MarshalToSizedBuffer 

func (m *DeploymentStageSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*DeploymentStageSpec) ProtoMessage 

func (*DeploymentStageSpec) ProtoMessage()

func (*DeploymentStageSpec) Reset 

func (m *DeploymentStageSpec) Reset()

func (*DeploymentStageSpec) Size 

func (m *DeploymentStageSpec) Size() (n int)

func (*DeploymentStageSpec) String 

func (this *DeploymentStageSpec) String() string

func (*DeploymentStageSpec) Unmarshal 

func (m *DeploymentStageSpec) Unmarshal(dAtA []byte) error

func (*DeploymentStageSpec) XXX_DiscardUnknown 

func (m *DeploymentStageSpec) XXX_DiscardUnknown()

func (*DeploymentStageSpec) XXX_Marshal 

func (m *DeploymentStageSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*DeploymentStageSpec) XXX_Merge 

func (m *DeploymentStageSpec) XXX_Merge(src proto.Message)

func (*DeploymentStageSpec) XXX_Size 

func (m *DeploymentStageSpec) XXX_Size() int

func (*DeploymentStageSpec) XXX_Unmarshal 

func (m *DeploymentStageSpec) XXX_Unmarshal(b []byte) error

type DriftDetectorStatus added in v0.4.728 

type DriftDetectorStatus struct {
	// The location of the prediction outlier detection
	OutlierModelURI string `json:"outlierModelURI,omitempty" protobuf:"bytes,1,opt,name=outlierModelURI"`
}

func (*DriftDetectorStatus) DeepCopy added in v0.4.728 

func (in *DriftDetectorStatus) DeepCopy() *DriftDetectorStatus

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new DriftDetectorStatus.

func (*DriftDetectorStatus) DeepCopyInto added in v0.4.728 

func (in *DriftDetectorStatus) DeepCopyInto(out *DriftDetectorStatus)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*DriftDetectorStatus) Descriptor added in v0.4.728 

func (*DriftDetectorStatus) Descriptor() ([]byte, []int)

func (*DriftDetectorStatus) Marshal added in v0.4.728 

func (m *DriftDetectorStatus) Marshal() (dAtA []byte, err error)

func (*DriftDetectorStatus) MarshalTo added in v0.4.728 

func (m *DriftDetectorStatus) MarshalTo(dAtA []byte) (int, error)

func (*DriftDetectorStatus) MarshalToSizedBuffer added in v0.4.728 

func (m *DriftDetectorStatus) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*DriftDetectorStatus) ProtoMessage added in v0.4.728 

func (*DriftDetectorStatus) ProtoMessage()

func (*DriftDetectorStatus) Reset added in v0.4.728 

func (m *DriftDetectorStatus) Reset()

func (*DriftDetectorStatus) Size added in v0.4.728 

func (m *DriftDetectorStatus) Size() (n int)

func (*DriftDetectorStatus) String added in v0.4.728 

func (this *DriftDetectorStatus) String() string

func (*DriftDetectorStatus) Unmarshal added in v0.4.728 

func (m *DriftDetectorStatus) Unmarshal(dAtA []byte) error

func (*DriftDetectorStatus) XXX_DiscardUnknown added in v0.4.728 

func (m *DriftDetectorStatus) XXX_DiscardUnknown()

func (*DriftDetectorStatus) XXX_Marshal added in v0.4.728 

func (m *DriftDetectorStatus) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*DriftDetectorStatus) XXX_Merge added in v0.4.728 

func (m *DriftDetectorStatus) XXX_Merge(src proto.Message)

func (*DriftDetectorStatus) XXX_Size added in v0.4.728 

func (m *DriftDetectorStatus) XXX_Size() int

func (*DriftDetectorStatus) XXX_Unmarshal added in v0.4.728 

func (m *DriftDetectorStatus) XXX_Unmarshal(b []byte) error

type DriftModelSpec added in v0.4.964 

type DriftModelSpec struct {
	// Indicates if density models should be created.
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Enabled *bool `json:"enabled,omitempty" protobuf:"varint,1,opt,name=enabled"`
	// The density model alg.
	// +kubebuilder:default:="isolation-forest"
	// +kubebuilder:validation:Optional
	OutlierAlgorithm catalog.OutlierAlgorithmName `json:"outlierAlgorithm,omitempty" protobuf:"bytes,2,opt,name=outlierAlgorithm"`
}

The spec for generating a density model for this ModelClass.

func (*DriftModelSpec) DeepCopy added in v0.4.964 

func (in *DriftModelSpec) DeepCopy() *DriftModelSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new DriftModelSpec.

func (*DriftModelSpec) DeepCopyInto added in v0.4.964 

func (in *DriftModelSpec) DeepCopyInto(out *DriftModelSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*DriftModelSpec) Descriptor added in v0.4.964 

func (*DriftModelSpec) Descriptor() ([]byte, []int)

func (*DriftModelSpec) Marshal added in v0.4.964 

func (m *DriftModelSpec) Marshal() (dAtA []byte, err error)

func (*DriftModelSpec) MarshalTo added in v0.4.964 

func (m *DriftModelSpec) MarshalTo(dAtA []byte) (int, error)

func (*DriftModelSpec) MarshalToSizedBuffer added in v0.4.964 

func (m *DriftModelSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*DriftModelSpec) ProtoMessage added in v0.4.964 

func (*DriftModelSpec) ProtoMessage()

func (*DriftModelSpec) Reset added in v0.4.964 

func (m *DriftModelSpec) Reset()

func (*DriftModelSpec) Size added in v0.4.964 

func (m *DriftModelSpec) Size() (n int)

func (*DriftModelSpec) String added in v0.4.964 

func (this *DriftModelSpec) String() string

func (*DriftModelSpec) Unmarshal added in v0.4.964 

func (m *DriftModelSpec) Unmarshal(dAtA []byte) error

func (*DriftModelSpec) XXX_DiscardUnknown added in v0.4.964 

func (m *DriftModelSpec) XXX_DiscardUnknown()

func (*DriftModelSpec) XXX_Marshal added in v0.4.964 

func (m *DriftModelSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*DriftModelSpec) XXX_Merge added in v0.4.964 

func (m *DriftModelSpec) XXX_Merge(src proto.Message)

func (*DriftModelSpec) XXX_Size added in v0.4.964 

func (m *DriftModelSpec) XXX_Size() int

func (*DriftModelSpec) XXX_Unmarshal added in v0.4.964 

func (m *DriftModelSpec) XXX_Unmarshal(b []byte) error

type EarlyStopSpec added in v0.4.722 

type EarlyStopSpec struct {
	// Indicates if early stopping is enabled
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	Enabled *bool `json:"enabled,omitempty" protobuf:"varint,1,opt,name=enabled"`
	// The number of models to train before model objective metrics will begin to be checked for early stopping
	// +kubebuilder:default:=20
	// +kubebuilder:validation:Optional
	Initial *int32 `json:"initial,omitempty" protobuf:"varint,2,opt,name=initial"`
	// The number of models with no improvement in score that are required to abort the model search
	// +kubebuilder:default:=5
	// +kubebuilder:validation:Optional
	MinModelsWithNoProgress *int32 `json:"minModelsWithNoProgress,omitempty" protobuf:"varint,3,opt,name=minModelsWithNoProgress"`
}

EarlyStopSpec specifies the configuration to automatically abort a model search if further improvements in model performance cannot be produced

func (*EarlyStopSpec) DeepCopy added in v0.4.722 

func (in *EarlyStopSpec) DeepCopy() *EarlyStopSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new EarlyStopSpec.

func (*EarlyStopSpec) DeepCopyInto added in v0.4.722 

func (in *EarlyStopSpec) DeepCopyInto(out *EarlyStopSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*EarlyStopSpec) Descriptor added in v0.4.722 

func (*EarlyStopSpec) Descriptor() ([]byte, []int)

func (*EarlyStopSpec) Marshal added in v0.4.722 

func (m *EarlyStopSpec) Marshal() (dAtA []byte, err error)

func (*EarlyStopSpec) MarshalTo added in v0.4.722 

func (m *EarlyStopSpec) MarshalTo(dAtA []byte) (int, error)

func (*EarlyStopSpec) MarshalToSizedBuffer added in v0.4.722 

func (m *EarlyStopSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*EarlyStopSpec) ProtoMessage added in v0.4.722 

func (*EarlyStopSpec) ProtoMessage()

func (*EarlyStopSpec) Reset added in v0.4.722 

func (m *EarlyStopSpec) Reset()

func (*EarlyStopSpec) Size added in v0.4.722 

func (m *EarlyStopSpec) Size() (n int)

func (*EarlyStopSpec) String added in v0.4.722 

func (this *EarlyStopSpec) String() string

func (*EarlyStopSpec) Unmarshal added in v0.4.722 

func (m *EarlyStopSpec) Unmarshal(dAtA []byte) error

func (*EarlyStopSpec) XXX_DiscardUnknown added in v0.4.722 

func (m *EarlyStopSpec) XXX_DiscardUnknown()

func (*EarlyStopSpec) XXX_Marshal added in v0.4.722 

func (m *EarlyStopSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*EarlyStopSpec) XXX_Merge added in v0.4.722 

func (m *EarlyStopSpec) XXX_Merge(src proto.Message)

func (*EarlyStopSpec) XXX_Size added in v0.4.722 

func (m *EarlyStopSpec) XXX_Size() int

func (*EarlyStopSpec) XXX_Unmarshal added in v0.4.722 

func (m *EarlyStopSpec) XXX_Unmarshal(b []byte) error

type EnsembleRules 

type EnsembleRules struct {
	// contains filtered or unexported fields
}

EnsembleRules is an algorithm class that decide

func NewEnsemble 

func NewEnsemble() *EnsembleRules

func (*EnsembleRules) Add 

func (e *EnsembleRules) Add(m Model)

Add a new model to the ensemble

func (*EnsembleRules) DeepCopy 

func (in *EnsembleRules) DeepCopy() *EnsembleRules

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new EnsembleRules.

func (*EnsembleRules) DeepCopyInto 

func (in *EnsembleRules) DeepCopyInto(out *EnsembleRules)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*EnsembleRules) Descriptor 

func (*EnsembleRules) Descriptor() ([]byte, []int)

func (*EnsembleRules) Exist 

func (e *EnsembleRules) Exist() bool

Exist return true if we can form an ensemble. we can form an ensemble only if we have 3 models from different alg

func (*EnsembleRules) Marshal 

func (m *EnsembleRules) Marshal() (dAtA []byte, err error)

func (*EnsembleRules) MarshalTo 

func (m *EnsembleRules) MarshalTo(dAtA []byte) (int, error)

func (*EnsembleRules) MarshalToSizedBuffer 

func (m *EnsembleRules) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*EnsembleRules) ModelNames 

func (e *EnsembleRules) ModelNames() []string

func (*EnsembleRules) Models 

func (e *EnsembleRules) Models() []Model

func (*EnsembleRules) ProtoMessage 

func (*EnsembleRules) ProtoMessage()

func (*EnsembleRules) Reset 

func (m *EnsembleRules) Reset()

func (*EnsembleRules) Size 

func (m *EnsembleRules) Size() (n int)

func (*EnsembleRules) String 

func (this *EnsembleRules) String() string

func (*EnsembleRules) Unmarshal 

func (m *EnsembleRules) Unmarshal(dAtA []byte) error

func (*EnsembleRules) XXX_DiscardUnknown 

func (m *EnsembleRules) XXX_DiscardUnknown()

func (*EnsembleRules) XXX_Marshal 

func (m *EnsembleRules) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*EnsembleRules) XXX_Merge 

func (m *EnsembleRules) XXX_Merge(src proto.Message)

func (*EnsembleRules) XXX_Size 

func (m *EnsembleRules) XXX_Size() int

func (*EnsembleRules) XXX_Unmarshal 

func (m *EnsembleRules) XXX_Unmarshal(b []byte) error

type EnsembleSpec 

type EnsembleSpec struct {
	// The collection of models (by their name) to be used as estimators in the ensemble
	// +kubebuilder:validation:Optional
	Models []string `json:"models,omitempty" protobuf:"bytes,1,rep,name=models"`
	// The collection of estimators to be used in the ensemble, derived from Models
	// +kubebuilder:validation:Optional
	Estimators []ClassicalEstimatorSpec `json:"estimators,omitempty" protobuf:"bytes,2,rep,name=estimators"`
	// The base estimator
	// +kubebuilder:validation:Optional
	Final *ClassicalEstimatorSpec `json:"final,omitempty" protobuf:"bytes,3,rep,name=final"`
	// The ensemble type method
	// +kubebuilder:validation:Optional
	Type *catalog.EnsembleType `json:"type,omitempty" protobuf:"bytes,4,rep,name=type"`
}

EnsembleSpec specifies the parameters of an ensemble model

func (*EnsembleSpec) DeepCopy 

func (in *EnsembleSpec) DeepCopy() *EnsembleSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new EnsembleSpec.

func (*EnsembleSpec) DeepCopyInto 

func (in *EnsembleSpec) DeepCopyInto(out *EnsembleSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*EnsembleSpec) Descriptor 

func (*EnsembleSpec) Descriptor() ([]byte, []int)

func (*EnsembleSpec) Marshal 

func (m *EnsembleSpec) Marshal() (dAtA []byte, err error)

func (*EnsembleSpec) MarshalTo 

func (m *EnsembleSpec) MarshalTo(dAtA []byte) (int, error)

func (*EnsembleSpec) MarshalToSizedBuffer 

func (m *EnsembleSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*EnsembleSpec) ProtoMessage 

func (*EnsembleSpec) ProtoMessage()

func (*EnsembleSpec) Reset 

func (m *EnsembleSpec) Reset()

func (*EnsembleSpec) Size 

func (m *EnsembleSpec) Size() (n int)

func (*EnsembleSpec) String 

func (this *EnsembleSpec) String() string

func (*EnsembleSpec) Unmarshal 

func (m *EnsembleSpec) Unmarshal(dAtA []byte) error

func (*EnsembleSpec) XXX_DiscardUnknown 

func (m *EnsembleSpec) XXX_DiscardUnknown()

func (*EnsembleSpec) XXX_Marshal 

func (m *EnsembleSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*EnsembleSpec) XXX_Merge 

func (m *EnsembleSpec) XXX_Merge(src proto.Message)

func (*EnsembleSpec) XXX_Size 

func (m *EnsembleSpec) XXX_Size() int

func (*EnsembleSpec) XXX_Unmarshal 

func (m *EnsembleSpec) XXX_Unmarshal(b []byte) error

type EnsemblesSpec 

type EnsemblesSpec struct {
	// Indicates if ensemble models will be created
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	Enabled *bool `json:"enabled,omitempty" protobuf:"varint,1,opt,name=enabled"`
	// Indicates if a voting ensemble model will be created
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	VotingEnsemble *bool `json:"votingEnsemble,omitempty" protobuf:"varint,2,opt,name=votingEnsemble"`
	// Indicates if a stacking ensemble model will be created
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	StackingEnsemble *bool `json:"stackingEnsemble,omitempty" protobuf:"varint,3,opt,name=stackingEnsemble"`
	// The number of top candidate models to include in the ensemble
	// +kubebuilder:default:=3
	// +kubebuilder:validation:Optional
	Top *int32 `json:"top,omitempty" protobuf:"varint,4,opt,name=top"`
}

EnsemblesSpec specifies the configuration to produce ensemble models

func (*EnsemblesSpec) DeepCopy 

func (in *EnsemblesSpec) DeepCopy() *EnsemblesSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new EnsemblesSpec.

func (*EnsemblesSpec) DeepCopyInto 

func (in *EnsemblesSpec) DeepCopyInto(out *EnsemblesSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*EnsemblesSpec) Descriptor 

func (*EnsemblesSpec) Descriptor() ([]byte, []int)

func (*EnsemblesSpec) Marshal 

func (m *EnsemblesSpec) Marshal() (dAtA []byte, err error)

func (*EnsemblesSpec) MarshalTo 

func (m *EnsemblesSpec) MarshalTo(dAtA []byte) (int, error)

func (*EnsemblesSpec) MarshalToSizedBuffer 

func (m *EnsemblesSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*EnsemblesSpec) ProtoMessage 

func (*EnsemblesSpec) ProtoMessage()

func (*EnsemblesSpec) Reset 

func (m *EnsemblesSpec) Reset()

func (*EnsemblesSpec) Size 

func (m *EnsemblesSpec) Size() (n int)

func (*EnsemblesSpec) String 

func (this *EnsemblesSpec) String() string

func (*EnsemblesSpec) Unmarshal 

func (m *EnsemblesSpec) Unmarshal(dAtA []byte) error

func (*EnsemblesSpec) XXX_DiscardUnknown 

func (m *EnsemblesSpec) XXX_DiscardUnknown()

func (*EnsemblesSpec) XXX_Marshal 

func (m *EnsemblesSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*EnsemblesSpec) XXX_Merge 

func (m *EnsemblesSpec) XXX_Merge(src proto.Message)

func (*EnsemblesSpec) XXX_Size 

func (m *EnsemblesSpec) XXX_Size() int

func (*EnsemblesSpec) XXX_Unmarshal 

func (m *EnsemblesSpec) XXX_Unmarshal(b []byte) error

type EntityRef added in v0.5.287 

type EntityRef struct {
	// The name of the entity
	Name string `json:"name,omitempty" protobuf:"bytes,1,opt,name=name"`
	// Feature to exclude from the link
	// +kubebuilder:validation:Optional
	Exclude []string `json:"exclude,omitempty" protobuf:"bytes,2,opt,name=exclude"`
}

func (*EntityRef) DeepCopy added in v0.5.287 

func (in *EntityRef) DeepCopy() *EntityRef

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new EntityRef.

func (*EntityRef) DeepCopyInto added in v0.5.287 

func (in *EntityRef) DeepCopyInto(out *EntityRef)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*EntityRef) Descriptor added in v0.5.287 

func (*EntityRef) Descriptor() ([]byte, []int)

func (*EntityRef) Marshal added in v0.5.287 

func (m *EntityRef) Marshal() (dAtA []byte, err error)

func (*EntityRef) MarshalTo added in v0.5.287 

func (m *EntityRef) MarshalTo(dAtA []byte) (int, error)

func (*EntityRef) MarshalToSizedBuffer added in v0.5.287 

func (m *EntityRef) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*EntityRef) ProtoMessage added in v0.5.287 

func (*EntityRef) ProtoMessage()

func (*EntityRef) Reset added in v0.5.287 

func (m *EntityRef) Reset()

func (*EntityRef) Size added in v0.5.287 

func (m *EntityRef) Size() (n int)

func (*EntityRef) String added in v0.5.287 

func (this *EntityRef) String() string

func (*EntityRef) Unmarshal added in v0.5.287 

func (m *EntityRef) Unmarshal(dAtA []byte) error

func (*EntityRef) XXX_DiscardUnknown added in v0.5.287 

func (m *EntityRef) XXX_DiscardUnknown()

func (*EntityRef) XXX_Marshal added in v0.5.287 

func (m *EntityRef) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*EntityRef) XXX_Merge added in v0.5.287 

func (m *EntityRef) XXX_Merge(src proto.Message)

func (*EntityRef) XXX_Size added in v0.5.287 

func (m *EntityRef) XXX_Size() int

func (*EntityRef) XXX_Unmarshal added in v0.5.287 

func (m *EntityRef) XXX_Unmarshal(b []byte) error

type EvalMetrics added in v0.5.150 

type EvalMetrics struct {
	// From: https://linkedin.github.io/greykite/docs/0.1.0/html/pages/stepbystep/0400_configuration.html
	// Used to select the optimal model during cross-validation.
	// +kubebuilder:validation:Optional
	Selection catalog.Metric `json:"selection,omitempty" protobuf:"bytes,1,opt,name=selection"`
	// From: https://linkedin.github.io/greykite/docs/0.1.0/html/pages/stepbystep/0400_configuration.html
	// Additional metrics to compute during CV, besides the one specified by “cv_selection_metric“
	// +kubebuilder:validation:Optional
	Reporting []catalog.Metric `json:"reporting,omitempty" protobuf:"bytes,2,opt,name=reporting"`
	//  From: https://linkedin.github.io/greykite/docs/0.1.0/html/pages/stepbystep/0400_configuration.html
	//  Defines how to aggregate rolling windows of actual and predicted values
	//  before evaluation.
	// +kubebuilder:validation:Optional
	AggFunc *string `json:"aggFunc,omitempty" protobuf:"bytes,3,opt,name=aggFunc"`
	//  From: https://linkedin.github.io/greykite/docs/0.1.0/html/pages/stepbystep/0400_configuration.html
	//  Number of periods to aggregate before evaluation.
	// +kubebuilder:validation:Optional
	AggPeriod *int32 `json:"aggPeriod,omitempty" protobuf:"bytes,4,opt,name=aggPeriod"`
	//  From: https://linkedin.github.io/greykite/docs/0.1.0/html/pages/stepbystep/0400_configuration.html
	// Defines baseline model to compute “R2_null_model_score“ evaluation metric.
	// R2_null_model_score is the improvement in the loss function relative
	//to a null model. It can be used to evaluate model quality with respect to
	//a simple baseline
	// +kubebuilder:validation:Optional
	NullModelParams *string `json:"nullModelParams,omitempty" protobuf:"bytes,5,opt,name=nullModelParams"`
	//  From: https://linkedin.github.io/greykite/docs/0.1.0/html/pages/stepbystep/0400_configuration.html
	//Threshold to compute the “Outside Tolerance“ metric,
	//defined as the fraction of forecasted values whose relative
	//error is strictly greater than “relative_error_tolerance“.
	//If `None`, the metric is not computed.
	// +kubebuilder:validation:Optional
	RelErrTolerance *float64 `json:"relErrTolerance,omitempty" protobuf:"bytes,6,opt,name=relErrTolerance"`
}

What metric to evaluate

func (*EvalMetrics) DeepCopy added in v0.5.150 

func (in *EvalMetrics) DeepCopy() *EvalMetrics

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new EvalMetrics.

func (*EvalMetrics) DeepCopyInto added in v0.5.150 

func (in *EvalMetrics) DeepCopyInto(out *EvalMetrics)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*EvalMetrics) Descriptor added in v0.5.150 

func (*EvalMetrics) Descriptor() ([]byte, []int)

func (*EvalMetrics) Marshal added in v0.5.150 

func (m *EvalMetrics) Marshal() (dAtA []byte, err error)

func (*EvalMetrics) MarshalTo added in v0.5.150 

func (m *EvalMetrics) MarshalTo(dAtA []byte) (int, error)

func (*EvalMetrics) MarshalToSizedBuffer added in v0.5.150 

func (m *EvalMetrics) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*EvalMetrics) ProtoMessage added in v0.5.150 

func (*EvalMetrics) ProtoMessage()

func (*EvalMetrics) Reset added in v0.5.150 

func (m *EvalMetrics) Reset()

func (*EvalMetrics) Size added in v0.5.150 

func (m *EvalMetrics) Size() (n int)

func (*EvalMetrics) String added in v0.5.150 

func (this *EvalMetrics) String() string

func (*EvalMetrics) Unmarshal added in v0.5.150 

func (m *EvalMetrics) Unmarshal(dAtA []byte) error

func (*EvalMetrics) XXX_DiscardUnknown added in v0.5.150 

func (m *EvalMetrics) XXX_DiscardUnknown()

func (*EvalMetrics) XXX_Marshal added in v0.5.150 

func (m *EvalMetrics) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*EvalMetrics) XXX_Merge added in v0.5.150 

func (m *EvalMetrics) XXX_Merge(src proto.Message)

func (*EvalMetrics) XXX_Size added in v0.5.150 

func (m *EvalMetrics) XXX_Size() int

func (*EvalMetrics) XXX_Unmarshal added in v0.5.150 

func (m *EvalMetrics) XXX_Unmarshal(b []byte) error

type EvalPeriod added in v0.5.150 

type EvalPeriod struct {
	//  From: https://linkedin.github.io/greykite/docs/0.1.0/html/pages/stepbystep/0400_configuration.html
	//Numbers of periods held back from end of df for test.
	//The rest is used for cross validation.
	//If None, default is forecast_horizon. Set to 0 to skip backtest.
	// +kubebuilder:validation:Optional
	TestHorizon *int32 `json:"testHorizon,omitempty" protobuf:"bytes,1,opt,name=testHorizon"`

	// +kubebuilder:validation:Optional
	PeriodsBetweenTrainTest *int32 `json:"periodsBetweenTrainTest,omitempty" protobuf:"bytes,2,opt,name=periodsBetweenTrainTest"`
	//  From: https://linkedin.github.io/greykite/docs/0.1.0/html/pages/stepbystep/0400_configuration.html
	//Number of periods to slide the test window between CV splits. Has to be greater than or equal to 1.
	//If None, default is cv_horizon.
	// +kubebuilder:validation:Optional
	CvPeriodsBetweenSplits *int32 `json:"cvPeriodsBetweenSplits,omitempty" protobuf:"bytes,3,opt,name=cvPeriodsBetweenSplits"`

	// +kubebuilder:validation:Optional
	CvExpandingWindows *bool `json:"cvExpandingWindows,omitempty" protobuf:"bytes,4,opt,name=cvExpandingWindows"`
	//  From: https://linkedin.github.io/greykite/docs/0.1.0/html/pages/stepbystep/0400_configuration.html
	//Number of periods in each CV test set
	//If None, default is forecast_horizon. Set to 0 to skip CV.
	// +kubebuilder:validation:Optional
	CvHorizon *int32 `json:"cvHorizon,omitempty" protobuf:"bytes,5,opt,name=cvHorizon"`
	//  From: https://linkedin.github.io/greykite/docs/0.1.0/html/pages/stepbystep/0400_configuration.html
	// Minimum number of periods for training each CV fold.
	//If cv_expanding_window is False, every training period is this size
	//If None, default is 2 * cv_horizon
	// +kubebuilder:validation:Optional
	CvMinTrainPeriods *int32 `json:"cvMinTrainPeriods,omitempty" protobuf:"bytes,6,opt,name=cvMinTrainPeriods"`
	//  From: https://linkedin.github.io/greykite/docs/0.1.0/html/pages/stepbystep/0400_configuration.html
	// Maximum number of CV splits.
	// Given the above configuration, samples up to max_splits train/test splits,
	// preferring splits toward the end of available data. If None, uses all splits.
	// +kubebuilder:validation:Optional
	CvMaxSplits *int32 `json:"cvMaxSplits,omitempty" protobuf:"bytes,7,opt,name=cvMaxSplits"`
	//  From: https://linkedin.github.io/greykite/docs/0.1.0/html/pages/stepbystep/0400_configuration.html
	//If True, splits from the end of the dataset are used.
	//Else a sampling strategy is applied. Check
	// +kubebuilder:validation:Optional
	CvUseMostRecentSplits *bool `json:"cvUseMostRecentSplits,omitempty" protobuf:"bytes,8,opt,name=cvUseMostRecentSplits"`
}

The cross validation spec, used to evaluate the forecaster during training.

func (*EvalPeriod) DeepCopy added in v0.5.150 

func (in *EvalPeriod) DeepCopy() *EvalPeriod

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new EvalPeriod.

func (*EvalPeriod) DeepCopyInto added in v0.5.150 

func (in *EvalPeriod) DeepCopyInto(out *EvalPeriod)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*EvalPeriod) Descriptor added in v0.5.150 

func (*EvalPeriod) Descriptor() ([]byte, []int)

func (*EvalPeriod) Marshal added in v0.5.150 

func (m *EvalPeriod) Marshal() (dAtA []byte, err error)

func (*EvalPeriod) MarshalTo added in v0.5.150 

func (m *EvalPeriod) MarshalTo(dAtA []byte) (int, error)

func (*EvalPeriod) MarshalToSizedBuffer added in v0.5.150 

func (m *EvalPeriod) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*EvalPeriod) ProtoMessage added in v0.5.150 

func (*EvalPeriod) ProtoMessage()

func (*EvalPeriod) Reset added in v0.5.150 

func (m *EvalPeriod) Reset()

func (*EvalPeriod) Size added in v0.5.150 

func (m *EvalPeriod) Size() (n int)

func (*EvalPeriod) String added in v0.5.150 

func (this *EvalPeriod) String() string

func (*EvalPeriod) Unmarshal added in v0.5.150 

func (m *EvalPeriod) Unmarshal(dAtA []byte) error

func (*EvalPeriod) XXX_DiscardUnknown added in v0.5.150 

func (m *EvalPeriod) XXX_DiscardUnknown()

func (*EvalPeriod) XXX_Marshal added in v0.5.150 

func (m *EvalPeriod) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*EvalPeriod) XXX_Merge added in v0.5.150 

func (m *EvalPeriod) XXX_Merge(src proto.Message)

func (*EvalPeriod) XXX_Size added in v0.5.150 

func (m *EvalPeriod) XXX_Size() int

func (*EvalPeriod) XXX_Unmarshal added in v0.5.150 

func (m *EvalPeriod) XXX_Unmarshal(b []byte) error

type FeatureEngineeringPipeline 

type FeatureEngineeringPipeline struct {
	// The name of the pipeline
	// +kubebuilder:validation:Required
	Name string `json:"name,omitempty" protobuf:"bytes,1,opt,name=name"`
	// The type of data which the pipeline applies to
	// +kubebuilder:validation:Required
	// +required
	DataType catalog.DataType `json:"datatype,omitempty" protobuf:"bytes,2,opt,name=datatype"`
	// The collection of columns which the pipeline applies to. Each column in the dataset with the
	// data type of the pipeline should be added to the collection of columns
	// +kubebuilder:validation:Optional
	Columns []string `json:"columns,omitempty" protobuf:"bytes,3,rep,name=columns"`
	// The imputation method to use, which fills in missing values within the columns
	// +kubebuilder:default:=none
	// +kubebuilder:validation:Optional
	Imputation *catalog.Imputation `json:"imputation,omitempty" protobuf:"bytes,4,opt,name=imputation"`
	// The encoding method to use for categorical data types
	// +kubebuilder:default:=none
	// +kubebuilder:validation:Optional
	Encoding *catalog.CategoricalEncoding `json:"encoding,omitempty" protobuf:"bytes,5,opt,name=encoding"`
	// The scaling method to use for numerical data types
	// +kubebuilder:default:=none
	// +kubebuilder:validation:Optional
	Scaling *catalog.Scaling `json:"scaling,omitempty" protobuf:"bytes,6,opt,name=scaling"`
	// The discretisation method, which converts numerical data types to discrete variables
	// +kubebuilder:default:=none
	// +kubebuilder:validation:Optional
	Discretisation *catalog.Discretisation `json:"discretisation,omitempty" protobuf:"bytes,7,opt,name=discretisation"`
	// The transformation method to use for numerical data types
	// +kubebuilder:default:=none
	// +kubebuilder:validation:Optional
	VariableTransformation *catalog.VariableTransformation `json:"variableTransformation,omitempty" protobuf:"bytes,8,opt,name=variableTransformation"`
	// The method to use when handling outliers
	// +kubebuilder:default:=none
	// Apply only to numeric data types.
	OutlierHandling *catalog.OutlierHandling `json:"outlierHandling,omitempty" protobuf:"bytes,9,opt,name=outlierHandling"`
	// The method to use when handling the date-time data type
	// +kubebuilder:default:=none
	// +kubebuilder:validation:Optional
	DatetimeTransformation *catalog.DatetimeTransformation `json:"datetimeTransformation,omitempty" protobuf:"bytes,10,opt,name=datetimeTransformation"`
	// Text specifies the pipeline to handle raw text
	// +kubebuilder:validation:Optional
	Text *TextPipelineSpec `json:"text,omitempty" protobuf:"bytes,11,opt,name=text"`
	// Image specifies the pipeline to handle image data (currently unsupported)
	// +kubebuilder:validation:Optional
	Image *ImagePipelineSpec `json:"image,omitempty" protobuf:"bytes,12,opt,name=image"`
	// Audio specifies the pipeline to handle audio data (currently unsupported)
	// +kubebuilder:validation:Optional
	Audio *AudioPipelineSpec `json:"audio,omitempty" protobuf:"bytes,13,opt,name=audio"`
	// Video specifies the pipeline to handle video data (currently unsupported)
	// +kubebuilder:validation:Optional
	Video *VideoPipelineSpec `json:"video,omitempty" protobuf:"bytes,14,opt,name=video"`
	// Generated specifies a collection of columns to be generated
	// +kubebuilder:validation:Optional
	Generated []GeneratedColumnSpec `json:"generated,omitempty" protobuf:"bytes,16,rep,name=generated"`
	// Custom specifies a collection of columns to be generated. Custom columns are specified by end-users
	// +kubebuilder:validation:Optional
	Custom []GeneratedColumnSpec `json:"custom,omitempty" protobuf:"bytes,17,rep,name=custom"`
	// Indicates if all of all the columns specified by the Columns field should be dropped
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Drop *bool `json:"drop,omitempty" protobuf:"varint,18,opt,name=drop"`
	// Indicates if the pipeline should not be applied and the columns should remain unchanged
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Passthrough *bool `json:"passthrough,omitempty" protobuf:"varint,19,opt,name=passthrough"`
}

FeatureEngineeringPipeline represent a single pipeline to transform a dataset

func (*FeatureEngineeringPipeline) DeepCopy 

func (in *FeatureEngineeringPipeline) DeepCopy() *FeatureEngineeringPipeline

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new FeatureEngineeringPipeline.

func (*FeatureEngineeringPipeline) DeepCopyInto 

func (in *FeatureEngineeringPipeline) DeepCopyInto(out *FeatureEngineeringPipeline)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*FeatureEngineeringPipeline) Descriptor 

func (*FeatureEngineeringPipeline) Descriptor() ([]byte, []int)

func (*FeatureEngineeringPipeline) Marshal 

func (m *FeatureEngineeringPipeline) Marshal() (dAtA []byte, err error)

func (*FeatureEngineeringPipeline) MarshalTo 

func (m *FeatureEngineeringPipeline) MarshalTo(dAtA []byte) (int, error)

func (*FeatureEngineeringPipeline) MarshalToSizedBuffer 

func (m *FeatureEngineeringPipeline) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*FeatureEngineeringPipeline) ProtoMessage 

func (*FeatureEngineeringPipeline) ProtoMessage()

func (*FeatureEngineeringPipeline) Reset 

func (m *FeatureEngineeringPipeline) Reset()

func (*FeatureEngineeringPipeline) Size 

func (m *FeatureEngineeringPipeline) Size() (n int)

func (*FeatureEngineeringPipeline) String 

func (this *FeatureEngineeringPipeline) String() string

func (*FeatureEngineeringPipeline) Unmarshal 

func (m *FeatureEngineeringPipeline) Unmarshal(dAtA []byte) error

func (*FeatureEngineeringPipeline) XXX_DiscardUnknown 

func (m *FeatureEngineeringPipeline) XXX_DiscardUnknown()

func (*FeatureEngineeringPipeline) XXX_Marshal 

func (m *FeatureEngineeringPipeline) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*FeatureEngineeringPipeline) XXX_Merge 

func (m *FeatureEngineeringPipeline) XXX_Merge(src proto.Message)

func (*FeatureEngineeringPipeline) XXX_Size 

func (m *FeatureEngineeringPipeline) XXX_Size() int

func (*FeatureEngineeringPipeline) XXX_Unmarshal 

func (m *FeatureEngineeringPipeline) XXX_Unmarshal(b []byte) error

type FeatureEngineeringSearchSpec 

type FeatureEngineeringSearchSpec struct {
	// Indicates if the feature engineering search will be performed
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	Enabled *bool `json:"enabled,omitempty" protobuf:"varint,1,opt,name=enabled"`
	// The method to use when handling an imbalanced dataset
	// +kubebuilder:default:=auto
	// +kubebuilder:validation:Optional
	ImbalanceHandler *catalog.ImbalanceHandling `json:"imbalanceHandler,omitempty" protobuf:"bytes,2,opt,name=imbalancedHandler"`
	// The algorithm to use when evaluating models with different feature engineering pipelines
	// +kubebuilder:validation:Optional
	Estimator *catalog.ClassicEstimatorName `json:"estimator,omitempty" protobuf:"bytes,3,opt,name=estimator"`
	// The number of models to sample, after which the feature engineering with the highest
	// score will be used with Model resources produced by the primary model search of the parent ModelClass
	// +kubebuilder:default:=10
	// +kubebuilder:validation:Optional
	MaxModels *int32 `json:"maxModels,omitempty" protobuf:"varint,4,opt,name=maxModels"`
	// The deadline, in seconds, for models produced by the search to be trained
	// +kubebuilder:default:=3600
	// +kubebuilder:validation:Optional
	MaxTimeSec *int32 `json:"maxTime,omitempty" protobuf:"varint,5,opt,name=maxTime"`
	// The desired number of trainers that will train candidate models in parallel. The number
	// of trainers is restricted based on the allowance provided by the active License
	// +kubebuilder:default:=1
	// +kubebuilder:validation:Optional
	MaxTrainers *int32 `json:"maxTrainers,omitempty" protobuf:"varint,6,opt,name=maxTrainers"`
	// The number percentage (0 through 100) of the dataset to train models with
	// +kubebuilder:default:=100
	// +kubebuilder:validation:Optional
	SamplePct *int32 `json:"samplePct,omitempty" protobuf:"varint,7,opt,name=samplePct"`
	// Indicates if models produced by the feature engineering search should be
	// automatically removed at the conclusion of the search
	// +kubebuilder:default:=true
	AutoRemove *bool `json:"autoRemove,omitempty" protobuf:"varint,8,opt,name=autoRemove"`
	// If true, if a feature engineering pipeline was previously produced for
	// the same dataset it will be used as a starting point for the search
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Reuse *bool `json:"reuse,omitempty" protobuf:"varint,9,opt,name=reuse"`
	// Specification for feature selection.
	// successful ModelClass.
	// +kubebuilder:validation:Optional
	FSelection FeatureSelectionSpec `json:"feSelection,omitempty" protobuf:"bytes,10,opt,name=feSelection"`
	// The number of new models produced by the fe search which, if there is no improvement
	// in score, the model search will conclude
	// +kubebuilder:validation:Optional
	EarlyStop EarlyStopSpec `json:"earlyStop,omitempty" protobuf:"bytes,12,opt,name=earlyStop"`
}

FeatureEngineeringSearchSpec specifies the configuration to produce the best-performing feature engineering pipeline for a given dataset

func (*FeatureEngineeringSearchSpec) DeepCopy 

func (in *FeatureEngineeringSearchSpec) DeepCopy() *FeatureEngineeringSearchSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new FeatureEngineeringSearchSpec.

func (*FeatureEngineeringSearchSpec) DeepCopyInto 

func (in *FeatureEngineeringSearchSpec) DeepCopyInto(out *FeatureEngineeringSearchSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*FeatureEngineeringSearchSpec) Descriptor 

func (*FeatureEngineeringSearchSpec) Descriptor() ([]byte, []int)

func (*FeatureEngineeringSearchSpec) Marshal 

func (m *FeatureEngineeringSearchSpec) Marshal() (dAtA []byte, err error)

func (*FeatureEngineeringSearchSpec) MarshalTo 

func (m *FeatureEngineeringSearchSpec) MarshalTo(dAtA []byte) (int, error)

func (*FeatureEngineeringSearchSpec) MarshalToSizedBuffer 

func (m *FeatureEngineeringSearchSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*FeatureEngineeringSearchSpec) ProtoMessage 

func (*FeatureEngineeringSearchSpec) ProtoMessage()

func (*FeatureEngineeringSearchSpec) Reset 

func (m *FeatureEngineeringSearchSpec) Reset()

func (*FeatureEngineeringSearchSpec) Size 

func (m *FeatureEngineeringSearchSpec) Size() (n int)

func (*FeatureEngineeringSearchSpec) String 

func (this *FeatureEngineeringSearchSpec) String() string

func (*FeatureEngineeringSearchSpec) Unmarshal 

func (m *FeatureEngineeringSearchSpec) Unmarshal(dAtA []byte) error

func (*FeatureEngineeringSearchSpec) XXX_DiscardUnknown 

func (m *FeatureEngineeringSearchSpec) XXX_DiscardUnknown()

func (*FeatureEngineeringSearchSpec) XXX_Marshal 

func (m *FeatureEngineeringSearchSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*FeatureEngineeringSearchSpec) XXX_Merge 

func (m *FeatureEngineeringSearchSpec) XXX_Merge(src proto.Message)

func (*FeatureEngineeringSearchSpec) XXX_Size 

func (m *FeatureEngineeringSearchSpec) XXX_Size() int

func (*FeatureEngineeringSearchSpec) XXX_Unmarshal 

func (m *FeatureEngineeringSearchSpec) XXX_Unmarshal(b []byte) error

type FeatureEngineeringSearchStatus 

type FeatureEngineeringSearchStatus struct {
	// The recommended pipeline after feature engineering was done
	Best FeatureEngineeringSpec `json:"best,omitempty" protobuf:"bytes,1,opt,name=best"`
}

func (*FeatureEngineeringSearchStatus) DeepCopy 

func (in *FeatureEngineeringSearchStatus) DeepCopy() *FeatureEngineeringSearchStatus

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new FeatureEngineeringSearchStatus.

func (*FeatureEngineeringSearchStatus) DeepCopyInto 

func (in *FeatureEngineeringSearchStatus) DeepCopyInto(out *FeatureEngineeringSearchStatus)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*FeatureEngineeringSearchStatus) Descriptor 

func (*FeatureEngineeringSearchStatus) Descriptor() ([]byte, []int)

func (*FeatureEngineeringSearchStatus) Marshal 

func (m *FeatureEngineeringSearchStatus) Marshal() (dAtA []byte, err error)

func (*FeatureEngineeringSearchStatus) MarshalTo 

func (m *FeatureEngineeringSearchStatus) MarshalTo(dAtA []byte) (int, error)

func (*FeatureEngineeringSearchStatus) MarshalToSizedBuffer 

func (m *FeatureEngineeringSearchStatus) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*FeatureEngineeringSearchStatus) ProtoMessage 

func (*FeatureEngineeringSearchStatus) ProtoMessage()

func (*FeatureEngineeringSearchStatus) Reset 

func (m *FeatureEngineeringSearchStatus) Reset()

func (*FeatureEngineeringSearchStatus) Size 

func (m *FeatureEngineeringSearchStatus) Size() (n int)

func (*FeatureEngineeringSearchStatus) String 

func (this *FeatureEngineeringSearchStatus) String() string

func (*FeatureEngineeringSearchStatus) Unmarshal 

func (m *FeatureEngineeringSearchStatus) Unmarshal(dAtA []byte) error

func (*FeatureEngineeringSearchStatus) XXX_DiscardUnknown 

func (m *FeatureEngineeringSearchStatus) XXX_DiscardUnknown()

func (*FeatureEngineeringSearchStatus) XXX_Marshal 

func (m *FeatureEngineeringSearchStatus) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*FeatureEngineeringSearchStatus) XXX_Merge 

func (m *FeatureEngineeringSearchStatus) XXX_Merge(src proto.Message)

func (*FeatureEngineeringSearchStatus) XXX_Size 

func (m *FeatureEngineeringSearchStatus) XXX_Size() int

func (*FeatureEngineeringSearchStatus) XXX_Unmarshal 

func (m *FeatureEngineeringSearchStatus) XXX_Unmarshal(b []byte) error

type FeatureEngineeringSpec 

type FeatureEngineeringSpec struct {
	// Pipelines contains the collection of feature engineering pipelines that
	// will be applied to a dataset prior to model training
	// +kubebuilder:validation:Optional
	Pipelines []FeatureEngineeringPipeline `json:"pipelines,omitempty" protobuf:"bytes,1,rep,name=pipelines"`
	// The method which will be used to handle an imbalanced dataset
	// +kubebuilder:default:=auto
	// +kubebuilder:validation:Optional
	Imbalance *catalog.ImbalanceHandling `json:"imbalance,omitempty" protobuf:"bytes,2,opt,name=imbalance"`
	// FeatureSelection specifies the configuration to perform
	// feature selection on a dataset prior to model training
	// +kubebuilder:validation:Optional
	FeatureSelection FeatureSelectionSpec `json:"selection,omitempty" protobuf:"bytes,3,opt,name=selection"`
}

FeatureEngineeringSpec specifies the feature engineering and preprocessing to be performed on a dataset

func (*FeatureEngineeringSpec) DeepCopy 

func (in *FeatureEngineeringSpec) DeepCopy() *FeatureEngineeringSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new FeatureEngineeringSpec.

func (*FeatureEngineeringSpec) DeepCopyInto 

func (in *FeatureEngineeringSpec) DeepCopyInto(out *FeatureEngineeringSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*FeatureEngineeringSpec) Descriptor 

func (*FeatureEngineeringSpec) Descriptor() ([]byte, []int)

func (*FeatureEngineeringSpec) Marshal 

func (m *FeatureEngineeringSpec) Marshal() (dAtA []byte, err error)

func (*FeatureEngineeringSpec) MarshalTo 

func (m *FeatureEngineeringSpec) MarshalTo(dAtA []byte) (int, error)

func (*FeatureEngineeringSpec) MarshalToSizedBuffer 

func (m *FeatureEngineeringSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*FeatureEngineeringSpec) ProtoMessage 

func (*FeatureEngineeringSpec) ProtoMessage()

func (*FeatureEngineeringSpec) Reset 

func (m *FeatureEngineeringSpec) Reset()

func (*FeatureEngineeringSpec) Size 

func (m *FeatureEngineeringSpec) Size() (n int)

func (*FeatureEngineeringSpec) String 

func (this *FeatureEngineeringSpec) String() string

func (*FeatureEngineeringSpec) Unmarshal 

func (m *FeatureEngineeringSpec) Unmarshal(dAtA []byte) error

func (*FeatureEngineeringSpec) XXX_DiscardUnknown 

func (m *FeatureEngineeringSpec) XXX_DiscardUnknown()

func (*FeatureEngineeringSpec) XXX_Marshal 

func (m *FeatureEngineeringSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*FeatureEngineeringSpec) XXX_Merge 

func (m *FeatureEngineeringSpec) XXX_Merge(src proto.Message)

func (*FeatureEngineeringSpec) XXX_Size 

func (m *FeatureEngineeringSpec) XXX_Size() int

func (*FeatureEngineeringSpec) XXX_Unmarshal 

func (m *FeatureEngineeringSpec) XXX_Unmarshal(b []byte) error

type FeatureImportance 

type FeatureImportance struct {
	// The name of the feature
	Feature string `json:"feature,omitempty" protobuf:"bytes,1,opt,name=feature"`
	// The importance of the feature
	// +kubebuilder:validation:Format=float
	// +kubebuilder:validation:Type=number
	Importance float64 `json:"importance,omitempty" protobuf:"bytes,2,opt,name=importance"`
}

FeatureImportance records the computed importance of a single feature

func (*FeatureImportance) DeepCopy 

func (in *FeatureImportance) DeepCopy() *FeatureImportance

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new FeatureImportance.

func (*FeatureImportance) DeepCopyInto 

func (in *FeatureImportance) DeepCopyInto(out *FeatureImportance)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*FeatureImportance) Descriptor 

func (*FeatureImportance) Descriptor() ([]byte, []int)

func (*FeatureImportance) Marshal 

func (m *FeatureImportance) Marshal() (dAtA []byte, err error)

func (*FeatureImportance) MarshalTo 

func (m *FeatureImportance) MarshalTo(dAtA []byte) (int, error)

func (*FeatureImportance) MarshalToSizedBuffer 

func (m *FeatureImportance) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*FeatureImportance) ProtoMessage 

func (*FeatureImportance) ProtoMessage()

func (*FeatureImportance) Reset 

func (m *FeatureImportance) Reset()

func (*FeatureImportance) Size 

func (m *FeatureImportance) Size() (n int)

func (*FeatureImportance) String 

func (this *FeatureImportance) String() string

func (*FeatureImportance) Unmarshal 

func (m *FeatureImportance) Unmarshal(dAtA []byte) error

func (*FeatureImportance) XXX_DiscardUnknown 

func (m *FeatureImportance) XXX_DiscardUnknown()

func (*FeatureImportance) XXX_Marshal 

func (m *FeatureImportance) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*FeatureImportance) XXX_Merge 

func (m *FeatureImportance) XXX_Merge(src proto.Message)

func (*FeatureImportance) XXX_Size 

func (m *FeatureImportance) XXX_Size() int

func (*FeatureImportance) XXX_Unmarshal 

func (m *FeatureImportance) XXX_Unmarshal(b []byte) error

type FeatureInfo 

type FeatureInfo struct {
	// The feature name
	// +kubebuilder:default:=""
	// +kubebuilder:validation:Optional
	Name string `json:"name,omitempty" protobuf:"bytes,1,opt,name=name"`
	// The reason that the feature was dropped
	// +kubebuilder:validation:Optional
	Reason string `json:"reason,omitempty" protobuf:"bytes,2,opt,name=reason"`
	// +kubebuilder:validation:Optional
	Value float64 `json:"value,omitempty" protobuf:"bytes,3,opt,name=value"`
}

func (*FeatureInfo) DeepCopy 

func (in *FeatureInfo) DeepCopy() *FeatureInfo

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new FeatureInfo.

func (*FeatureInfo) DeepCopyInto 

func (in *FeatureInfo) DeepCopyInto(out *FeatureInfo)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*FeatureInfo) Descriptor 

func (*FeatureInfo) Descriptor() ([]byte, []int)

func (*FeatureInfo) Marshal 

func (m *FeatureInfo) Marshal() (dAtA []byte, err error)

func (*FeatureInfo) MarshalTo 

func (m *FeatureInfo) MarshalTo(dAtA []byte) (int, error)

func (*FeatureInfo) MarshalToSizedBuffer 

func (m *FeatureInfo) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*FeatureInfo) ProtoMessage 

func (*FeatureInfo) ProtoMessage()

func (*FeatureInfo) Reset 

func (m *FeatureInfo) Reset()

func (*FeatureInfo) Size 

func (m *FeatureInfo) Size() (n int)

func (*FeatureInfo) String 

func (this *FeatureInfo) String() string

func (*FeatureInfo) Unmarshal 

func (m *FeatureInfo) Unmarshal(dAtA []byte) error

func (*FeatureInfo) XXX_DiscardUnknown 

func (m *FeatureInfo) XXX_DiscardUnknown()

func (*FeatureInfo) XXX_Marshal 

func (m *FeatureInfo) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*FeatureInfo) XXX_Merge 

func (m *FeatureInfo) XXX_Merge(src proto.Message)

func (*FeatureInfo) XXX_Size 

func (m *FeatureInfo) XXX_Size() int

func (*FeatureInfo) XXX_Unmarshal 

func (m *FeatureInfo) XXX_Unmarshal(b []byte) error

type FeaturePair added in v0.4.400 

type FeaturePair struct {
	X string `json:"x,omitempty" protobuf:"bytes,1,opt,name=x"`
	Y string `json:"y,omitempty" protobuf:"bytes,2,opt,name=y"`
}

func (*FeaturePair) DeepCopy added in v0.4.400 

func (in *FeaturePair) DeepCopy() *FeaturePair

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new FeaturePair.

func (*FeaturePair) DeepCopyInto added in v0.4.400 

func (in *FeaturePair) DeepCopyInto(out *FeaturePair)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*FeaturePair) Descriptor added in v0.4.400 

func (*FeaturePair) Descriptor() ([]byte, []int)

func (*FeaturePair) Marshal added in v0.4.400 

func (m *FeaturePair) Marshal() (dAtA []byte, err error)

func (*FeaturePair) MarshalTo added in v0.4.400 

func (m *FeaturePair) MarshalTo(dAtA []byte) (int, error)

func (*FeaturePair) MarshalToSizedBuffer added in v0.4.400 

func (m *FeaturePair) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*FeaturePair) ProtoMessage added in v0.4.400 

func (*FeaturePair) ProtoMessage()

func (*FeaturePair) Reset added in v0.4.400 

func (m *FeaturePair) Reset()

func (*FeaturePair) Size added in v0.4.400 

func (m *FeaturePair) Size() (n int)

func (*FeaturePair) String added in v0.4.400 

func (this *FeaturePair) String() string

func (*FeaturePair) Unmarshal added in v0.4.400 

func (m *FeaturePair) Unmarshal(dAtA []byte) error

func (*FeaturePair) XXX_DiscardUnknown added in v0.4.400 

func (m *FeaturePair) XXX_DiscardUnknown()

func (*FeaturePair) XXX_Marshal added in v0.4.400 

func (m *FeaturePair) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*FeaturePair) XXX_Merge added in v0.4.400 

func (m *FeaturePair) XXX_Merge(src proto.Message)

func (*FeaturePair) XXX_Size added in v0.4.400 

func (m *FeaturePair) XXX_Size() int

func (*FeaturePair) XXX_Unmarshal added in v0.4.400 

func (m *FeaturePair) XXX_Unmarshal(b []byte) error

type FeatureSelectionSpec 

type FeatureSelectionSpec struct {
	// Indicates if feature selection is enabled
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	Enabled *bool `json:"enabled,omitempty" protobuf:"varint,1,rep,name=enabled"`
	// Indicates if embedded methods will be tested as part of the candidate algorithms (e.g. tree-based selection)
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	Embedding *bool `json:"embedding,omitempty" protobuf:"varint,3,rep,name=embedding"`
	// Indicates if filter methods will be tested as part of the candidate algorithms (e.g. chi-square or anova tests)
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	Filter *bool `json:"filter,omitempty" protobuf:"varint,4,rep,name=filter"`
	// Indicates if wrapper methods will be tested as part of the candidate algorithms
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	Wrapper *bool `json:"wrapper,omitempty" protobuf:"varint,5,rep,name=wrapper"`
	// The collection of feature selection methods that will be applied in order to the dataset
	Pipeline []catalog.FeatureSelection `json:"pipeline,omitempty" protobuf:"bytes,6,rep,name=pipeline"`
	// The threshold as a percentage to remove low variance features
	// +kubebuilder:default:=5
	// +kubebuilder:validation:Optional
	VarThreshold *int32 `json:"varThreshold,omitempty" protobuf:"varint,7,opt,name=varThreshold"`
	// The threshold to remove features with high correlations
	// +kubebuilder:default:=95
	// +kubebuilder:validation:Optional
	CorrThreshold *int32 `json:"corrThreshold,omitempty" protobuf:"varint,8,opt,name=corrThreshold"`
	// The number of features that will be selected based on importance. If TopN is 0, all features will be selected
	// +kubebuilder:default:=0
	// +kubebuilder:validation:Optional
	MaxFeatures *int32 `json:"maxFeatures,omitempty" protobuf:"varint,9,opt,name=maxFeatures"`
	// Percent of features to keep
	// +kubebuilder:default:=20
	// +kubebuilder:validation:Optional
	Percentile *int32 `json:"percentile,omitempty" protobuf:"varint,10,opt,name=percentile"`
	// List of features that are reserved and will always be included in the final feature selection
	// +kubebuilder:validation:Optional
	Reserved []string `json:"reserved,omitempty" protobuf:"bytes,12,rep,name=reserved"`
}

FeatureSelectionSpec specifies the configuration to run feature selection on a dataset

func (*FeatureSelectionSpec) DeepCopy 

func (in *FeatureSelectionSpec) DeepCopy() *FeatureSelectionSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new FeatureSelectionSpec.

func (*FeatureSelectionSpec) DeepCopyInto 

func (in *FeatureSelectionSpec) DeepCopyInto(out *FeatureSelectionSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*FeatureSelectionSpec) Descriptor 

func (*FeatureSelectionSpec) Descriptor() ([]byte, []int)

func (*FeatureSelectionSpec) Marshal 

func (m *FeatureSelectionSpec) Marshal() (dAtA []byte, err error)

func (*FeatureSelectionSpec) MarshalTo 

func (m *FeatureSelectionSpec) MarshalTo(dAtA []byte) (int, error)

func (*FeatureSelectionSpec) MarshalToSizedBuffer 

func (m *FeatureSelectionSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*FeatureSelectionSpec) ProtoMessage 

func (*FeatureSelectionSpec) ProtoMessage()

func (*FeatureSelectionSpec) Reset 

func (m *FeatureSelectionSpec) Reset()

func (*FeatureSelectionSpec) Size 

func (m *FeatureSelectionSpec) Size() (n int)

func (*FeatureSelectionSpec) String 

func (this *FeatureSelectionSpec) String() string

func (*FeatureSelectionSpec) Unmarshal 

func (m *FeatureSelectionSpec) Unmarshal(dAtA []byte) error

func (*FeatureSelectionSpec) XXX_DiscardUnknown 

func (m *FeatureSelectionSpec) XXX_DiscardUnknown()

func (*FeatureSelectionSpec) XXX_Marshal 

func (m *FeatureSelectionSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*FeatureSelectionSpec) XXX_Merge 

func (m *FeatureSelectionSpec) XXX_Merge(src proto.Message)

func (*FeatureSelectionSpec) XXX_Size 

func (m *FeatureSelectionSpec) XXX_Size() int

func (*FeatureSelectionSpec) XXX_Unmarshal 

func (m *FeatureSelectionSpec) XXX_Unmarshal(b []byte) error

type ForecastStrategy added in v0.5.123 

type ForecastStrategy string

+kubebuilder:validation:Enum="recursive";"direct";"none" 

const (
	ForecastStrategyRecursive ForecastStrategy = "recursive"
	ForecastStrategyDirect    ForecastStrategy = "direct"
	ForecastStrategyNone      ForecastStrategy = "none"
)

type ForecasterSpec added in v0.5.123 

type ForecasterSpec struct {
	// The spec for the holiday
	// +kubebuilder:validation:Optional
	Events []TimeSeriesEvent `json:"events,omitempty" protobuf:"bytes,2,rep,name=events"`
	// Specification for the past windows
	// +kubebuilder:validation:Optional
	Past WindowSpec `json:"past,omitempty" protobuf:"bytes,3,opt,name=past"`
	// Specification for the future windows
	// +kubebuilder:validation:Optional
	Future WindowSpec `json:"future,omitempty" protobuf:"bytes,4,opt,name=future"`
	// Make a forecast post training
	// +kubebuilder:validation:Optional
	Forecast *bool `json:"forecast,omitempty" protobuf:"bytes,5,opt,name=forecast"`
	// Make a forecast post training
	// +kubebuilder:validation:Optional
	Coverage *float64 `json:"coverage,omitempty" protobuf:"bytes,6,opt,name=coverage"`
	// The data location that would store the forecast result.
	// +kubebuilder:validation:Optional
	OutputLocation data.DataLocation `json:"outputLocation,omitempty" protobuf:"bytes,7,opt,name=outputLocation"`
	// List of time series features to compute on each time series.
	// +kubebuilder:validation:Optional
	Features []catalog.Metric `json:"features,omitempty" protobuf:"bytes,8,opt,name=features"`
	// Filter the groups to forecast for. If none forecast only to the leaf group
	// +kubebuilder:validation:Optional
	Groups []string `json:"groups,omitempty" protobuf:"bytes,9,rep,name=groups"`
	// +kubebuilder:validation:Optional
	PredefinedTemplate ModelTemplate `json:"predefinedTemplate,omitempty" protobuf:"bytes,10,opt,name=predefinedTemplate"`
	// +kubebuilder:validation:Optional
	Anomalies []Anomaly `json:"anomalies,omitempty" protobuf:"bytes,11,opt,name=anomalies"`
	// +kubebuilder:validation:Optional
	TrainEndDate string `json:"trainEndData,omitempty" protobuf:"bytes,12,opt,name=trainEndData"`
	// The value column. this is the name of the column to forecast, this will be based on the data source.
	// +kubebuilder:validation:Optional
	ValueColumn string `json:"valueColumn,omitempty" protobuf:"bytes,13,opt,name=valueColumn"`
	// +kubebuilder:validation:Optional
	HPOBudget *int32 `json:"hpoBudget,omitempty" protobuf:"bytes,14,opt,name=hpoBudget"`
	// Spec for evaluation metric
	// +kubebuilder:validation:Optional
	EvalMetrics EvalMetrics `json:"evaluationMetrics,omitempty" protobuf:"bytes,15,opt,name=evaluationMetrics"`
	// Spec for time series cross validation
	// +kubebuilder:validation:Optional
	EvalPeriod EvalPeriod `json:"evaluationPeriod,omitempty" protobuf:"bytes,16,opt,name=evaluationPeriod"`
	// +kubebuilder:validation:Optional
	Seasonality SeasonalitySpec `json:"seasonality,omitempty" protobuf:"bytes,17,opt,name=seasonality"`
	// The regressor. Initially those are set from the data source schema
	// +kubebuilder:validation:Optional
	Regressors []string `json:"regressors,omitempty" protobuf:"bytes,18,opt,name=regressors"`
	// Lagged Regressors
	// +kubebuilder:validation:Optional
	LaggedRegressors []string `json:"laggedRegressors,omitempty" protobuf:"bytes,19,opt,name=laggedRegressors"`
	// Set the growth of the series
	// +kubebuilder:validation:Optional
	Growth GrowthMode `json:"growth,omitempty" protobuf:"bytes,20,opt,name=growth"`
	// In case of group forecast
	// +kubebuilder:validation:Optional
	Key []string `json:"key,omitempty" protobuf:"bytes,21,opt,name=key"`
	// The estimators to try. By default, we try graykit / auto arima and prophet.
	// +kubebuilder:validation:Optional
	Estimators []catalog.ClassicEstimatorName `json:"estimators,omitempty" protobuf:"bytes,22,opt,name=estimators"`
	// Group recocile.
	// By default this is the bottom-up
	// +kubebuilder:default:="bottom-up"
	// +kubebuilder:validation:Optional
	HTS *catalog.HTS `json:"hts,omitempty" protobuf:"bytes,23,opt,name=hts"`
}

The forecaster search define a search for the forecaster

func (*ForecasterSpec) DeepCopy added in v0.5.125 

func (in *ForecasterSpec) DeepCopy() *ForecasterSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ForecasterSpec.

func (*ForecasterSpec) DeepCopyInto added in v0.5.125 

func (in *ForecasterSpec) DeepCopyInto(out *ForecasterSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ForecasterSpec) Descriptor added in v0.5.123 

func (*ForecasterSpec) Descriptor() ([]byte, []int)

func (*ForecasterSpec) Marshal added in v0.5.123 

func (m *ForecasterSpec) Marshal() (dAtA []byte, err error)

func (*ForecasterSpec) MarshalTo added in v0.5.123 

func (m *ForecasterSpec) MarshalTo(dAtA []byte) (int, error)

func (*ForecasterSpec) MarshalToSizedBuffer added in v0.5.123 

func (m *ForecasterSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ForecasterSpec) ProtoMessage added in v0.5.123 

func (*ForecasterSpec) ProtoMessage()

func (*ForecasterSpec) Reset added in v0.5.123 

func (m *ForecasterSpec) Reset()

func (*ForecasterSpec) Size added in v0.5.123 

func (m *ForecasterSpec) Size() (n int)

func (*ForecasterSpec) String added in v0.5.123 

func (this *ForecasterSpec) String() string

func (*ForecasterSpec) Unmarshal added in v0.5.123 

func (m *ForecasterSpec) Unmarshal(dAtA []byte) error

func (*ForecasterSpec) XXX_DiscardUnknown added in v0.5.123 

func (m *ForecasterSpec) XXX_DiscardUnknown()

func (*ForecasterSpec) XXX_Marshal added in v0.5.123 

func (m *ForecasterSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ForecasterSpec) XXX_Merge added in v0.5.123 

func (m *ForecasterSpec) XXX_Merge(src proto.Message)

func (*ForecasterSpec) XXX_Size added in v0.5.123 

func (m *ForecasterSpec) XXX_Size() int

func (*ForecasterSpec) XXX_Unmarshal added in v0.5.123 

func (m *ForecasterSpec) XXX_Unmarshal(b []byte) error

type GarbageCollectionSpec added in v0.4.414 

type GarbageCollectionSpec struct {
	// Indicates if all models of the ModelClass, excluding the highest-performing model, will be archived
	// +kubebuilder:validation:Optional
	// +kubebuilder:default:=true
	CollectAtStudyEnd *bool `json:"collectAtModelClassEnd,omitempty" protobuf:"varint,1,opt,name=collectAtModelClassEnd"`
	// Indicates if multiple models with the same algorithm are produced by the ModelClass, the
	// model with the lowest score will be garbage-collected
	// +kubebuilder:validation:Optional
	// +kubebuilder:default:=false
	KeepOnlyBestModelPerAlgorithm *bool `json:"keepOnlyBestModelPerAlgorithm,omitempty" protobuf:"varint,2,opt,name=keepOnlyBestModelPerAlgorithm"`
	// Indicates if we should keep pruned models
	// model with the lowest score will be garbage-collected
	// +kubebuilder:validation:Optional
	// +kubebuilder:default:=false
	KeepPrunedModel *bool `json:"keepPrunedModels,omitempty" protobuf:"varint,3,opt,name=keepPrunedModels"`
}

GarbageCollectionSpec specifies the configuration to garbage-collect unused Model resources

func (*GarbageCollectionSpec) DeepCopy added in v0.4.414 

func (in *GarbageCollectionSpec) DeepCopy() *GarbageCollectionSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new GarbageCollectionSpec.

func (*GarbageCollectionSpec) DeepCopyInto added in v0.4.414 

func (in *GarbageCollectionSpec) DeepCopyInto(out *GarbageCollectionSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*GarbageCollectionSpec) Descriptor added in v0.4.414 

func (*GarbageCollectionSpec) Descriptor() ([]byte, []int)

func (*GarbageCollectionSpec) Marshal added in v0.4.414 

func (m *GarbageCollectionSpec) Marshal() (dAtA []byte, err error)

func (*GarbageCollectionSpec) MarshalTo added in v0.4.414 

func (m *GarbageCollectionSpec) MarshalTo(dAtA []byte) (int, error)

func (*GarbageCollectionSpec) MarshalToSizedBuffer added in v0.4.414 

func (m *GarbageCollectionSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*GarbageCollectionSpec) ProtoMessage added in v0.4.414 

func (*GarbageCollectionSpec) ProtoMessage()

func (*GarbageCollectionSpec) Reset added in v0.4.414 

func (m *GarbageCollectionSpec) Reset()

func (*GarbageCollectionSpec) Size added in v0.4.414 

func (m *GarbageCollectionSpec) Size() (n int)

func (*GarbageCollectionSpec) String added in v0.4.414 

func (this *GarbageCollectionSpec) String() string

func (*GarbageCollectionSpec) Unmarshal added in v0.4.414 

func (m *GarbageCollectionSpec) Unmarshal(dAtA []byte) error

func (*GarbageCollectionSpec) XXX_DiscardUnknown added in v0.4.414 

func (m *GarbageCollectionSpec) XXX_DiscardUnknown()

func (*GarbageCollectionSpec) XXX_Marshal added in v0.4.414 

func (m *GarbageCollectionSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*GarbageCollectionSpec) XXX_Merge added in v0.4.414 

func (m *GarbageCollectionSpec) XXX_Merge(src proto.Message)

func (*GarbageCollectionSpec) XXX_Size added in v0.4.414 

func (m *GarbageCollectionSpec) XXX_Size() int

func (*GarbageCollectionSpec) XXX_Unmarshal added in v0.4.414 

func (m *GarbageCollectionSpec) XXX_Unmarshal(b []byte) error

type GarbageCollectionStatus added in v0.4.414 

type GarbageCollectionStatus struct {
	// The number of models that were collected, equal to len(Models)
	// +kubebuilder:validation:Optional
	Collected int32 `json:"collected,omitempty" protobuf:"varint,1,opt,name=collected"`
	// The collection of models that were archived
	// +kubebuilder:validation:Optional
	Models []ModelResult `json:"models,omitempty" patchStrategy:"merge" patchMergeKey:"type" protobuf:"bytes,2,opt,name=models"`
}

GarbageCollectionStatus contains the records for garbage-collected models

func (*GarbageCollectionStatus) DeepCopy added in v0.4.414 

func (in *GarbageCollectionStatus) DeepCopy() *GarbageCollectionStatus

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new GarbageCollectionStatus.

func (*GarbageCollectionStatus) DeepCopyInto added in v0.4.414 

func (in *GarbageCollectionStatus) DeepCopyInto(out *GarbageCollectionStatus)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*GarbageCollectionStatus) Descriptor added in v0.4.414 

func (*GarbageCollectionStatus) Descriptor() ([]byte, []int)

func (*GarbageCollectionStatus) Marshal added in v0.4.414 

func (m *GarbageCollectionStatus) Marshal() (dAtA []byte, err error)

func (*GarbageCollectionStatus) MarshalTo added in v0.4.414 

func (m *GarbageCollectionStatus) MarshalTo(dAtA []byte) (int, error)

func (*GarbageCollectionStatus) MarshalToSizedBuffer added in v0.4.414 

func (m *GarbageCollectionStatus) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*GarbageCollectionStatus) ProtoMessage added in v0.4.414 

func (*GarbageCollectionStatus) ProtoMessage()

func (*GarbageCollectionStatus) Reset added in v0.4.414 

func (m *GarbageCollectionStatus) Reset()

func (*GarbageCollectionStatus) Size added in v0.4.414 

func (m *GarbageCollectionStatus) Size() (n int)

func (*GarbageCollectionStatus) String added in v0.4.414 

func (this *GarbageCollectionStatus) String() string

func (*GarbageCollectionStatus) Unmarshal added in v0.4.414 

func (m *GarbageCollectionStatus) Unmarshal(dAtA []byte) error

func (*GarbageCollectionStatus) XXX_DiscardUnknown added in v0.4.414 

func (m *GarbageCollectionStatus) XXX_DiscardUnknown()

func (*GarbageCollectionStatus) XXX_Marshal added in v0.4.414 

func (m *GarbageCollectionStatus) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*GarbageCollectionStatus) XXX_Merge added in v0.4.414 

func (m *GarbageCollectionStatus) XXX_Merge(src proto.Message)

func (*GarbageCollectionStatus) XXX_Size added in v0.4.414 

func (m *GarbageCollectionStatus) XXX_Size() int

func (*GarbageCollectionStatus) XXX_Unmarshal added in v0.4.414 

func (m *GarbageCollectionStatus) XXX_Unmarshal(b []byte) error

type GeneratedColumnSpec 

type GeneratedColumnSpec struct {
	// The name of the generated column
	Name *string `json:"name,omitempty" protobuf:"bytes,1,opt,name=name"`
	// The resulting data type
	DataType catalog.DataType `json:"datatype,omitempty" protobuf:"bytes,2,opt,name=datatype"`
	// The name of the first original column
	First string `json:"first,omitempty" protobuf:"bytes,3,opt,name=first"`
	// The name of the second original column, if the expression is binary operator
	// +kubebuilder:validation:Optional
	Second string `json:"second,omitempty" protobuf:"bytes,4,opt,name=second"`
	// The expression to apply in order to generate the new column
	// +kubebuilder:validation:Optional
	Expression string `json:"original,omitempty" protobuf:"bytes,5,opt,name=original"`
}

GeneratedColumnSpec describes a column to be generated and applied to a dataset

func (*GeneratedColumnSpec) DeepCopy 

func (in *GeneratedColumnSpec) DeepCopy() *GeneratedColumnSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new GeneratedColumnSpec.

func (*GeneratedColumnSpec) DeepCopyInto 

func (in *GeneratedColumnSpec) DeepCopyInto(out *GeneratedColumnSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*GeneratedColumnSpec) Descriptor 

func (*GeneratedColumnSpec) Descriptor() ([]byte, []int)

func (*GeneratedColumnSpec) Marshal 

func (m *GeneratedColumnSpec) Marshal() (dAtA []byte, err error)

func (*GeneratedColumnSpec) MarshalTo 

func (m *GeneratedColumnSpec) MarshalTo(dAtA []byte) (int, error)

func (*GeneratedColumnSpec) MarshalToSizedBuffer 

func (m *GeneratedColumnSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*GeneratedColumnSpec) ProtoMessage 

func (*GeneratedColumnSpec) ProtoMessage()

func (*GeneratedColumnSpec) Reset 

func (m *GeneratedColumnSpec) Reset()

func (*GeneratedColumnSpec) Size 

func (m *GeneratedColumnSpec) Size() (n int)

func (*GeneratedColumnSpec) String 

func (this *GeneratedColumnSpec) String() string

func (*GeneratedColumnSpec) Unmarshal 

func (m *GeneratedColumnSpec) Unmarshal(dAtA []byte) error

func (*GeneratedColumnSpec) XXX_DiscardUnknown 

func (m *GeneratedColumnSpec) XXX_DiscardUnknown()

func (*GeneratedColumnSpec) XXX_Marshal 

func (m *GeneratedColumnSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*GeneratedColumnSpec) XXX_Merge 

func (m *GeneratedColumnSpec) XXX_Merge(src proto.Message)

func (*GeneratedColumnSpec) XXX_Size 

func (m *GeneratedColumnSpec) XXX_Size() int

func (*GeneratedColumnSpec) XXX_Unmarshal 

func (m *GeneratedColumnSpec) XXX_Unmarshal(b []byte) error

type GroupModelLocationsSpec added in v0.5.210 

type GroupModelLocationsSpec struct {
	// The folder of group data
	// +kubebuilder:validation:Optional
	GroupFolder *string `json:"groupFolder,omitempty" protobuf:"bytes,1,opt,name=groupFolder"`
	// The folder of group data
	// +kubebuilder:validation:Optional
	GroupProfileFolder *string `json:"groupProfileFolder,omitempty" protobuf:"bytes,2,opt,name=groupProfileFolder"`
	// The folder of group data
	// +kubebuilder:validation:Optional
	GroupReportFile *string `json:"groupReportFile,omitempty" protobuf:"bytes,3,opt,name=groupReportFile"`
	// The folder of group data
	// +kubebuilder:validation:Optional
	GroupModelFolder *string `json:"groupModelFolder,omitempty" protobuf:"bytes,4,opt,name=groupModelFolder"`
	// The folder of group data
	// +kubebuilder:validation:Optional
	GroupModelFile *string `json:"groupModelFile,omitempty" protobuf:"bytes,5,opt,name=groupModelFile"`
	// The folder of group data
	// +kubebuilder:validation:Optional
	GroupForecastFile *string `json:"groupForecastFile,omitempty" protobuf:"bytes,6,opt,name=groupForecastFile"`
}

func (*GroupModelLocationsSpec) DeepCopy added in v0.5.249 

func (in *GroupModelLocationsSpec) DeepCopy() *GroupModelLocationsSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new GroupModelLocationsSpec.

func (*GroupModelLocationsSpec) DeepCopyInto added in v0.5.249 

func (in *GroupModelLocationsSpec) DeepCopyInto(out *GroupModelLocationsSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*GroupModelLocationsSpec) Descriptor added in v0.5.210 

func (*GroupModelLocationsSpec) Descriptor() ([]byte, []int)

func (*GroupModelLocationsSpec) Marshal added in v0.5.210 

func (m *GroupModelLocationsSpec) Marshal() (dAtA []byte, err error)

func (*GroupModelLocationsSpec) MarshalTo added in v0.5.210 

func (m *GroupModelLocationsSpec) MarshalTo(dAtA []byte) (int, error)

func (*GroupModelLocationsSpec) MarshalToSizedBuffer added in v0.5.210 

func (m *GroupModelLocationsSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*GroupModelLocationsSpec) ProtoMessage added in v0.5.210 

func (*GroupModelLocationsSpec) ProtoMessage()

func (*GroupModelLocationsSpec) Reset added in v0.5.210 

func (m *GroupModelLocationsSpec) Reset()

func (*GroupModelLocationsSpec) Size added in v0.5.210 

func (m *GroupModelLocationsSpec) Size() (n int)

func (*GroupModelLocationsSpec) String added in v0.5.210 

func (this *GroupModelLocationsSpec) String() string

func (*GroupModelLocationsSpec) Unmarshal added in v0.5.210 

func (m *GroupModelLocationsSpec) Unmarshal(dAtA []byte) error

func (*GroupModelLocationsSpec) XXX_DiscardUnknown added in v0.5.210 

func (m *GroupModelLocationsSpec) XXX_DiscardUnknown()

func (*GroupModelLocationsSpec) XXX_Marshal added in v0.5.210 

func (m *GroupModelLocationsSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*GroupModelLocationsSpec) XXX_Merge added in v0.5.210 

func (m *GroupModelLocationsSpec) XXX_Merge(src proto.Message)

func (*GroupModelLocationsSpec) XXX_Size added in v0.5.210 

func (m *GroupModelLocationsSpec) XXX_Size() int

func (*GroupModelLocationsSpec) XXX_Unmarshal added in v0.5.210 

func (m *GroupModelLocationsSpec) XXX_Unmarshal(b []byte) error

type GroupSplitLocationsSpec added in v0.5.210 

type GroupSplitLocationsSpec struct {
	// The folder of group data
	// +kubebuilder:validation:Optional
	GroupTrainingFile *string `json:"groupTrainingDataFile,omitempty" protobuf:"bytes,1,opt,name=groupTrainingDataFile"`
	// The folder of group data
	// +kubebuilder:validation:Optional
	GroupTestingFile *string `json:"groupTestingDataFile,omitempty" protobuf:"bytes,2,opt,name=groupTestingDataFile"`
}

func (*GroupSplitLocationsSpec) DeepCopy added in v0.5.249 

func (in *GroupSplitLocationsSpec) DeepCopy() *GroupSplitLocationsSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new GroupSplitLocationsSpec.

func (*GroupSplitLocationsSpec) DeepCopyInto added in v0.5.249 

func (in *GroupSplitLocationsSpec) DeepCopyInto(out *GroupSplitLocationsSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*GroupSplitLocationsSpec) Descriptor added in v0.5.210 

func (*GroupSplitLocationsSpec) Descriptor() ([]byte, []int)

func (*GroupSplitLocationsSpec) Marshal added in v0.5.210 

func (m *GroupSplitLocationsSpec) Marshal() (dAtA []byte, err error)

func (*GroupSplitLocationsSpec) MarshalTo added in v0.5.210 

func (m *GroupSplitLocationsSpec) MarshalTo(dAtA []byte) (int, error)

func (*GroupSplitLocationsSpec) MarshalToSizedBuffer added in v0.5.210 

func (m *GroupSplitLocationsSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*GroupSplitLocationsSpec) ProtoMessage added in v0.5.210 

func (*GroupSplitLocationsSpec) ProtoMessage()

func (*GroupSplitLocationsSpec) Reset added in v0.5.210 

func (m *GroupSplitLocationsSpec) Reset()

func (*GroupSplitLocationsSpec) Size added in v0.5.210 

func (m *GroupSplitLocationsSpec) Size() (n int)

func (*GroupSplitLocationsSpec) String added in v0.5.210 

func (this *GroupSplitLocationsSpec) String() string

func (*GroupSplitLocationsSpec) Unmarshal added in v0.5.210 

func (m *GroupSplitLocationsSpec) Unmarshal(dAtA []byte) error

func (*GroupSplitLocationsSpec) XXX_DiscardUnknown added in v0.5.210 

func (m *GroupSplitLocationsSpec) XXX_DiscardUnknown()

func (*GroupSplitLocationsSpec) XXX_Marshal added in v0.5.210 

func (m *GroupSplitLocationsSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*GroupSplitLocationsSpec) XXX_Merge added in v0.5.210 

func (m *GroupSplitLocationsSpec) XXX_Merge(src proto.Message)

func (*GroupSplitLocationsSpec) XXX_Size added in v0.5.210 

func (m *GroupSplitLocationsSpec) XXX_Size() int

func (*GroupSplitLocationsSpec) XXX_Unmarshal added in v0.5.210 

func (m *GroupSplitLocationsSpec) XXX_Unmarshal(b []byte) error

type GrowthMode 

type GrowthMode string

+kubebuilder:validation:Enum="linear";"logistic";"flat";"quadratic";"none" 

const (
	Linear    GrowthMode = "linear"
	Logistic  GrowthMode = "logistic"
	Quadratic GrowthMode = "quadratic"
	Sqr2      GrowthMode = "sqrt"
	Flat      GrowthMode = "flat"
	None      GrowthMode = "none"
)

type HyperParameterValue 

type HyperParameterValue struct {
	// The name of the hyper-parameter
	Name string `json:"name" protobuf:"bytes,1,opt,name=name"`
	// The value of the hyper-parameter
	Value string `json:"value" protobuf:"bytes,2,opt,name=value"`
}

HyperParameterValue represent an individual hyper-parameter of a machine earning algorithm

func NewHyperParameterValue 

func NewHyperParameterValue() *HyperParameterValue

func ParseHyperParametersFromJson 

func ParseHyperParametersFromJson(jsonStr string) ([]HyperParameterValue, error)

func (*HyperParameterValue) DeepCopy 

func (in *HyperParameterValue) DeepCopy() *HyperParameterValue

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new HyperParameterValue.

func (*HyperParameterValue) DeepCopyInto 

func (in *HyperParameterValue) DeepCopyInto(out *HyperParameterValue)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*HyperParameterValue) Descriptor 

func (*HyperParameterValue) Descriptor() ([]byte, []int)

func (*HyperParameterValue) Marshal 

func (m *HyperParameterValue) Marshal() (dAtA []byte, err error)

func (*HyperParameterValue) MarshalTo 

func (m *HyperParameterValue) MarshalTo(dAtA []byte) (int, error)

func (*HyperParameterValue) MarshalToSizedBuffer 

func (m *HyperParameterValue) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*HyperParameterValue) ProtoMessage 

func (*HyperParameterValue) ProtoMessage()

func (*HyperParameterValue) Reset 

func (m *HyperParameterValue) Reset()

func (*HyperParameterValue) Size 

func (m *HyperParameterValue) Size() (n int)

func (*HyperParameterValue) String 

func (this *HyperParameterValue) String() string

func (*HyperParameterValue) Unmarshal 

func (m *HyperParameterValue) Unmarshal(dAtA []byte) error

func (*HyperParameterValue) XXX_DiscardUnknown 

func (m *HyperParameterValue) XXX_DiscardUnknown()

func (*HyperParameterValue) XXX_Marshal 

func (m *HyperParameterValue) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*HyperParameterValue) XXX_Merge 

func (m *HyperParameterValue) XXX_Merge(src proto.Message)

func (*HyperParameterValue) XXX_Size 

func (m *HyperParameterValue) XXX_Size() int

func (*HyperParameterValue) XXX_Unmarshal 

func (m *HyperParameterValue) XXX_Unmarshal(b []byte) error

type HyperbandOptions added in v0.4.767 

type HyperbandOptions struct {
	// A parameter for specifying the minimum resource allocated to a trial noted as 𝑟 in the paper
	// +kubebuilder:default:=1
	// +kubebuilder:validation:Optional
	MinResources *int32 `json:"minResources,omitempty" protobuf:"varint,1,opt,name=minResources"`
	// A parameter for specifying the maximum resource allocated to a trial
	// +kubebuilder:default:=1
	// +kubebuilder:validation:Optional
	MaxResources *int32 `json:"maxResources,omitempty" protobuf:"varint,2,opt,name=maxResources"`
	// A parameter for specifying reduction factor of promotable trials
	// +kubebuilder:default:=3
	// +kubebuilder:validation:Optional
	ReductionFactor *int32 `json:"reductionFactor,omitempty" protobuf:"varint,3,opt,name=reductionFactor"`
	// Parameter specifying the number of trials required in a rung before any trial can be promoted
	// +kubebuilder:default:=0
	// +kubebuilder:validation:Optional
	BootstrapCount *int32 `json:"bootstrapCount,omitempty" protobuf:"varint,4,opt,name=bootstrapCount"`
}

func (*HyperbandOptions) DeepCopy added in v0.4.767 

func (in *HyperbandOptions) DeepCopy() *HyperbandOptions

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new HyperbandOptions.

func (*HyperbandOptions) DeepCopyInto added in v0.4.767 

func (in *HyperbandOptions) DeepCopyInto(out *HyperbandOptions)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*HyperbandOptions) Descriptor added in v0.4.767 

func (*HyperbandOptions) Descriptor() ([]byte, []int)

func (*HyperbandOptions) Marshal added in v0.4.767 

func (m *HyperbandOptions) Marshal() (dAtA []byte, err error)

func (*HyperbandOptions) MarshalTo added in v0.4.767 

func (m *HyperbandOptions) MarshalTo(dAtA []byte) (int, error)

func (*HyperbandOptions) MarshalToSizedBuffer added in v0.4.767 

func (m *HyperbandOptions) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*HyperbandOptions) ProtoMessage added in v0.4.767 

func (*HyperbandOptions) ProtoMessage()

func (*HyperbandOptions) Reset added in v0.4.767 

func (m *HyperbandOptions) Reset()

func (*HyperbandOptions) Size added in v0.4.767 

func (m *HyperbandOptions) Size() (n int)

func (*HyperbandOptions) String added in v0.4.767 

func (this *HyperbandOptions) String() string

func (*HyperbandOptions) Unmarshal added in v0.4.767 

func (m *HyperbandOptions) Unmarshal(dAtA []byte) error

func (*HyperbandOptions) XXX_DiscardUnknown added in v0.4.767 

func (m *HyperbandOptions) XXX_DiscardUnknown()

func (*HyperbandOptions) XXX_Marshal added in v0.4.767 

func (m *HyperbandOptions) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*HyperbandOptions) XXX_Merge added in v0.4.767 

func (m *HyperbandOptions) XXX_Merge(src proto.Message)

func (*HyperbandOptions) XXX_Size added in v0.4.767 

func (m *HyperbandOptions) XXX_Size() int

func (*HyperbandOptions) XXX_Unmarshal added in v0.4.767 

func (m *HyperbandOptions) XXX_Unmarshal(b []byte) error

type IinitializerName 

type IinitializerName string
const (
	IinitializerZeros            IinitializerName = "zeros"
	IinitializerOnes             IinitializerName = "ones"
	IinitializerConstant         IinitializerName = "constant"
	IinitializerRandom_normal    IinitializerName = "random-normal"
	IinitializerRandom_uniform   IinitializerName = "random-uniform"
	IinitializerTruncated_normal IinitializerName = "truncated-normal"
	IinitializerVariance_scaling IinitializerName = "variance-scaling"
	IinitializerOrthogonal       IinitializerName = "orthogonal"
	IinitializerIdentity         IinitializerName = "identity"
	IinitializerLecun_uniform    IinitializerName = "lecun-uniform"
	IinitializerGlorot_normal    IinitializerName = "glorot-normal"
	IinitializerGlorot_uniform   IinitializerName = "glorot-uniform"
	IinitializerHe_normal        IinitializerName = "he-normal"
	Iinitializerlecun_normal     IinitializerName = "lecun-normal"
	IinitializerHeUniform        IinitializerName = "uniform"
	IinitializerNone             IinitializerName = "none"
)

type ImagePipelineSpec 

type ImagePipelineSpec struct {
	// The date time imputer.
	// +kubebuilder:default:="auto"
	// +kubebuilder:validation:Optional
	Featurizer *catalog.ImageFeaturizer `json:"featurizer,omitempty" protobuf:"bytes,1,opt,name=featurizer"`
}

ImagePipelineSpec represents a single pipeline for preprocessing image data

func (*ImagePipelineSpec) DeepCopy 

func (in *ImagePipelineSpec) DeepCopy() *ImagePipelineSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ImagePipelineSpec.

func (*ImagePipelineSpec) DeepCopyInto 

func (in *ImagePipelineSpec) DeepCopyInto(out *ImagePipelineSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ImagePipelineSpec) Descriptor 

func (*ImagePipelineSpec) Descriptor() ([]byte, []int)

func (*ImagePipelineSpec) Marshal 

func (m *ImagePipelineSpec) Marshal() (dAtA []byte, err error)

func (*ImagePipelineSpec) MarshalTo 

func (m *ImagePipelineSpec) MarshalTo(dAtA []byte) (int, error)

func (*ImagePipelineSpec) MarshalToSizedBuffer 

func (m *ImagePipelineSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ImagePipelineSpec) ProtoMessage 

func (*ImagePipelineSpec) ProtoMessage()

func (*ImagePipelineSpec) Reset 

func (m *ImagePipelineSpec) Reset()

func (*ImagePipelineSpec) Size 

func (m *ImagePipelineSpec) Size() (n int)

func (*ImagePipelineSpec) String 

func (this *ImagePipelineSpec) String() string

func (*ImagePipelineSpec) Unmarshal 

func (m *ImagePipelineSpec) Unmarshal(dAtA []byte) error

func (*ImagePipelineSpec) XXX_DiscardUnknown 

func (m *ImagePipelineSpec) XXX_DiscardUnknown()

func (*ImagePipelineSpec) XXX_Marshal 

func (m *ImagePipelineSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ImagePipelineSpec) XXX_Merge 

func (m *ImagePipelineSpec) XXX_Merge(src proto.Message)

func (*ImagePipelineSpec) XXX_Size 

func (m *ImagePipelineSpec) XXX_Size() int

func (*ImagePipelineSpec) XXX_Unmarshal 

func (m *ImagePipelineSpec) XXX_Unmarshal(b []byte) error

type ImbalanceHandlingSpec added in v0.4.737 

type ImbalanceHandlingSpec struct {
	// Indicates if imbalance handling is enabled
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	Enabled *bool `json:"enabled,omitempty" protobuf:"varint,1,opt,name=enabled"`
	// The technique that will be used to handle the imbalanced dataset
	// +kubebuilder:default:=auto
	// +kubebuilder:validation:Optional
	Imbalance *catalog.ImbalanceHandling `json:"imbalance,omitempty" protobuf:"bytes,2,opt,name=imbalance"`
}

ImbalanceHandlingSpec specifies the configuration to process an imbalanced dataset

func (*ImbalanceHandlingSpec) DeepCopy added in v0.4.737 

func (in *ImbalanceHandlingSpec) DeepCopy() *ImbalanceHandlingSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ImbalanceHandlingSpec.

func (*ImbalanceHandlingSpec) DeepCopyInto added in v0.4.737 

func (in *ImbalanceHandlingSpec) DeepCopyInto(out *ImbalanceHandlingSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ImbalanceHandlingSpec) Descriptor added in v0.4.737 

func (*ImbalanceHandlingSpec) Descriptor() ([]byte, []int)

func (*ImbalanceHandlingSpec) Marshal added in v0.4.737 

func (m *ImbalanceHandlingSpec) Marshal() (dAtA []byte, err error)

func (*ImbalanceHandlingSpec) MarshalTo added in v0.4.737 

func (m *ImbalanceHandlingSpec) MarshalTo(dAtA []byte) (int, error)

func (*ImbalanceHandlingSpec) MarshalToSizedBuffer added in v0.4.737 

func (m *ImbalanceHandlingSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ImbalanceHandlingSpec) ProtoMessage added in v0.4.737 

func (*ImbalanceHandlingSpec) ProtoMessage()

func (*ImbalanceHandlingSpec) Reset added in v0.4.737 

func (m *ImbalanceHandlingSpec) Reset()

func (*ImbalanceHandlingSpec) Size added in v0.4.737 

func (m *ImbalanceHandlingSpec) Size() (n int)

func (*ImbalanceHandlingSpec) String added in v0.4.737 

func (this *ImbalanceHandlingSpec) String() string

func (*ImbalanceHandlingSpec) Unmarshal added in v0.4.737 

func (m *ImbalanceHandlingSpec) Unmarshal(dAtA []byte) error

func (*ImbalanceHandlingSpec) XXX_DiscardUnknown added in v0.4.737 

func (m *ImbalanceHandlingSpec) XXX_DiscardUnknown()

func (*ImbalanceHandlingSpec) XXX_Marshal added in v0.4.737 

func (m *ImbalanceHandlingSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ImbalanceHandlingSpec) XXX_Merge added in v0.4.737 

func (m *ImbalanceHandlingSpec) XXX_Merge(src proto.Message)

func (*ImbalanceHandlingSpec) XXX_Size added in v0.4.737 

func (m *ImbalanceHandlingSpec) XXX_Size() int

func (*ImbalanceHandlingSpec) XXX_Unmarshal added in v0.4.737 

func (m *ImbalanceHandlingSpec) XXX_Unmarshal(b []byte) error

type InterpretabilitySpec 

type InterpretabilitySpec struct {
	// Indicates if ICE (individual condition expectation) plots will be generated
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	ICE *bool `json:"ice,omitempty" protobuf:"varint,1,opt,name=ice"`
	// The collection of feature pairs to generate ICE scatter diagrams for each
	ICEPairs []FeaturePair `json:"icepairs,omitempty" protobuf:"bytes,2,rep,name=icepairs"`
	// Indicates if LIME (local interpretable model-agnostic explanations) diagrams will be generated
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Lime *bool `json:"lime,omitempty" protobuf:"varint,3,opt,name=lime"`
	// The type of SHAP values to be generated. Linear and tree values are the
	// only recommended types due to the high compute times of other methods
	// +kubebuilder:default:=auto
	// +kubebuilder:validation:Optional
	Shap *catalog.ShapType `json:"shap,omitempty" protobuf:"bytes,4,opt,name=shap"`
	// The collection of feature pairs to generate SHAP scatter diagrams for each
	// +kubebuilder:validation:Optional
	ShapPairs []FeaturePair `json:"shappairs,omitempty" protobuf:"bytes,5,rep,name=shappairs"`
	// Indicates if counter-factual diagrams will be generated
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	CounterFactual *bool `json:"counterfactual,omitempty" protobuf:"varint,6,opt,name=counterfactual"`
	// Indicates if anchor explanation diagrams will be generated
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Anchor *bool `json:"anchor,omitempty" protobuf:"varint,7,opt,name=anchor"`
}

InterpretabilitySpec specifies the configuration to generate interpretability data and diagrams

func (*InterpretabilitySpec) DeepCopy 

func (in *InterpretabilitySpec) DeepCopy() *InterpretabilitySpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new InterpretabilitySpec.

func (*InterpretabilitySpec) DeepCopyInto 

func (in *InterpretabilitySpec) DeepCopyInto(out *InterpretabilitySpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*InterpretabilitySpec) Descriptor 

func (*InterpretabilitySpec) Descriptor() ([]byte, []int)

func (*InterpretabilitySpec) Marshal 

func (m *InterpretabilitySpec) Marshal() (dAtA []byte, err error)

func (*InterpretabilitySpec) MarshalTo 

func (m *InterpretabilitySpec) MarshalTo(dAtA []byte) (int, error)

func (*InterpretabilitySpec) MarshalToSizedBuffer 

func (m *InterpretabilitySpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*InterpretabilitySpec) ProtoMessage 

func (*InterpretabilitySpec) ProtoMessage()

func (*InterpretabilitySpec) Reset 

func (m *InterpretabilitySpec) Reset()

func (*InterpretabilitySpec) Size 

func (m *InterpretabilitySpec) Size() (n int)

func (*InterpretabilitySpec) String 

func (this *InterpretabilitySpec) String() string

func (*InterpretabilitySpec) Unmarshal 

func (m *InterpretabilitySpec) Unmarshal(dAtA []byte) error

func (*InterpretabilitySpec) XXX_DiscardUnknown 

func (m *InterpretabilitySpec) XXX_DiscardUnknown()

func (*InterpretabilitySpec) XXX_Marshal 

func (m *InterpretabilitySpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*InterpretabilitySpec) XXX_Merge 

func (m *InterpretabilitySpec) XXX_Merge(src proto.Message)

func (*InterpretabilitySpec) XXX_Size 

func (m *InterpretabilitySpec) XXX_Size() int

func (*InterpretabilitySpec) XXX_Unmarshal 

func (m *InterpretabilitySpec) XXX_Unmarshal(b []byte) error

type InterpretabilityStatus 

type InterpretabilityStatus struct {
	// StartTime represents the time when the model explanation phase started
	// +kubebuilder:validation:Optional
	StartTime *metav1.Time `json:"trainingStartTime,omitempty" protobuf:"bytes,1,opt,name=trainingStartTime"`
	// EndTime represents the time when the model explanation phase ended
	// +kubebuilder:validation:Optional
	EndTime *metav1.Time `json:"trainingEndTime,omitempty" protobuf:"bytes,2,opt,name=trainingEndTime"`
	// The URI for the generated explanation data
	ExplainerURI string `json:"explainerURI,omitempty" protobuf:"bytes,3,opt,name=explainerURI"`
	// The URI for the train SHAP values
	TrainShapValuesURI string `json:"trainShapValuesURI,omitempty" protobuf:"bytes,4,opt,name=trainShapValuesURI"`
	// The URI for the test SHAP values
	TestShapValuesURI string `json:"testShapValuesURI,omitempty" protobuf:"bytes,5,opt,name=testShapValuesURI"`
	// The collection of feature importances generated from the computed SHAP values
	Importance []FeatureImportance `json:"importance,omitempty" protobuf:"bytes,6,rep,name=importance"`
}

InterpretabilityStatus represents the state of the explanation phase of a Model

func (*InterpretabilityStatus) DeepCopy 

func (in *InterpretabilityStatus) DeepCopy() *InterpretabilityStatus

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new InterpretabilityStatus.

func (*InterpretabilityStatus) DeepCopyInto 

func (in *InterpretabilityStatus) DeepCopyInto(out *InterpretabilityStatus)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*InterpretabilityStatus) Descriptor 

func (*InterpretabilityStatus) Descriptor() ([]byte, []int)

func (*InterpretabilityStatus) Marshal 

func (m *InterpretabilityStatus) Marshal() (dAtA []byte, err error)

func (*InterpretabilityStatus) MarshalTo 

func (m *InterpretabilityStatus) MarshalTo(dAtA []byte) (int, error)

func (*InterpretabilityStatus) MarshalToSizedBuffer 

func (m *InterpretabilityStatus) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*InterpretabilityStatus) ProtoMessage 

func (*InterpretabilityStatus) ProtoMessage()

func (*InterpretabilityStatus) Reset 

func (m *InterpretabilityStatus) Reset()

func (*InterpretabilityStatus) Size 

func (m *InterpretabilityStatus) Size() (n int)

func (*InterpretabilityStatus) String 

func (this *InterpretabilityStatus) String() string

func (*InterpretabilityStatus) Unmarshal 

func (m *InterpretabilityStatus) Unmarshal(dAtA []byte) error

func (*InterpretabilityStatus) XXX_DiscardUnknown 

func (m *InterpretabilityStatus) XXX_DiscardUnknown()

func (*InterpretabilityStatus) XXX_Marshal 

func (m *InterpretabilityStatus) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*InterpretabilityStatus) XXX_Merge 

func (m *InterpretabilityStatus) XXX_Merge(src proto.Message)

func (*InterpretabilityStatus) XXX_Size 

func (m *InterpretabilityStatus) XXX_Size() int

func (*InterpretabilityStatus) XXX_Unmarshal 

func (m *InterpretabilityStatus) XXX_Unmarshal(b []byte) error

type LabelsDataSpec added in v0.5.334 

type LabelsDataSpec struct {
	// The location or the sql of the labels file.
	// the labels file contain the training data.
	// The labels file can reside in the cloud or in a database.
	// +kubebuilder:validation:Optional
	Location data.DataLocation `json:"location,omitempty" protobuf:"bytes,1,opt,name=location"`
	// The schema of the labels file
	// +kubebuilder:validation:Optional
	Schema data.Schema `json:"schema,omitempty" protobuf:"bytes,2,opt,name=schema"`
	// The training file primary key. This key will be used as unique id for each row in the training dataset
	// If empty the system will set the join key as the primary key based on the schema.
	// +kubebuilder:validation:Optional
	PrimaryKey []string `json:"primaryKey,omitempty" protobuf:"bytes,3,opt,name=primaryKey"`
	// Define the column name that contains the prediction time for each row in the label data.
	// The system uses the prediction time in order to avoid data leakage.
	// I.e. the training dataset will contain only data that was known before the prediction time
	// If null, the system will set the prediction time column as the time index column in the schema.
	// +kubebuilder:validation:Optional
	PredictionTimeColumn *string `json:"predictionTimeColumn,omitempty" protobuf:"bytes,4,opt,name=predictionTimeColumn"`
	// Name of the target column
	// If null, the system will assign this column based on the schema.
	// +kubebuilder:validation:Optional
	Target *string `json:"target,omitempty" protobuf:"bytes,5,opt,name=target"`
	// Tests to run on the labels file before training.
	// +kubebuilder:validation:Optional
	Tests catalog.TestSuite `json:"tests,omitempty" protobuf:"bytes,6,opt,name=tests"`
}

Specification for the label information

func (*LabelsDataSpec) DeepCopy added in v0.5.335 

func (in *LabelsDataSpec) DeepCopy() *LabelsDataSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new LabelsDataSpec.

func (*LabelsDataSpec) DeepCopyInto added in v0.5.335 

func (in *LabelsDataSpec) DeepCopyInto(out *LabelsDataSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*LabelsDataSpec) Descriptor added in v0.5.334 

func (*LabelsDataSpec) Descriptor() ([]byte, []int)

func (*LabelsDataSpec) Marshal added in v0.5.334 

func (m *LabelsDataSpec) Marshal() (dAtA []byte, err error)

func (*LabelsDataSpec) MarshalTo added in v0.5.334 

func (m *LabelsDataSpec) MarshalTo(dAtA []byte) (int, error)

func (*LabelsDataSpec) MarshalToSizedBuffer added in v0.5.334 

func (m *LabelsDataSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*LabelsDataSpec) ProtoMessage added in v0.5.334 

func (*LabelsDataSpec) ProtoMessage()

func (*LabelsDataSpec) Reset added in v0.5.334 

func (m *LabelsDataSpec) Reset()

func (*LabelsDataSpec) Size added in v0.5.334 

func (m *LabelsDataSpec) Size() (n int)

func (*LabelsDataSpec) String added in v0.5.334 

func (this *LabelsDataSpec) String() string

func (*LabelsDataSpec) Unmarshal added in v0.5.334 

func (m *LabelsDataSpec) Unmarshal(dAtA []byte) error

func (*LabelsDataSpec) XXX_DiscardUnknown added in v0.5.334 

func (m *LabelsDataSpec) XXX_DiscardUnknown()

func (*LabelsDataSpec) XXX_Marshal added in v0.5.334 

func (m *LabelsDataSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*LabelsDataSpec) XXX_Merge added in v0.5.334 

func (m *LabelsDataSpec) XXX_Merge(src proto.Message)

func (*LabelsDataSpec) XXX_Size added in v0.5.334 

func (m *LabelsDataSpec) XXX_Size() int

func (*LabelsDataSpec) XXX_Unmarshal added in v0.5.334 

func (m *LabelsDataSpec) XXX_Unmarshal(b []byte) error

type Level 

type Level struct {
	// The level name, must be unique
	Name string `json:"name,omitempty" protobuf:"bytes,1,rep,name=name"`
	// The key for the levels
	Index []string `json:"index,omitempty" protobuf:"bytes,2,rep,name=index"`
	// The forecast horizon
	Horizon *int32 `json:"horizon,omitempty" protobuf:"varint,3,opt,name=horizon"`
	// The freq of the level
	Freq *catalog.Freq `json:"freq,omitempty" protobuf:"bytes,4,opt,name=freq"`
	// The aggregate function used to roll up the lower level
	Aggregate *catalog.Aggregate `json:"aggregate,omitempty" protobuf:"bytes,5,opt,name=aggregate"`
}

func (*Level) DeepCopy 

func (in *Level) DeepCopy() *Level

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new Level.

func (*Level) DeepCopyInto 

func (in *Level) DeepCopyInto(out *Level)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*Level) Descriptor 

func (*Level) Descriptor() ([]byte, []int)

func (*Level) Marshal 

func (m *Level) Marshal() (dAtA []byte, err error)

func (*Level) MarshalTo 

func (m *Level) MarshalTo(dAtA []byte) (int, error)

func (*Level) MarshalToSizedBuffer 

func (m *Level) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*Level) ProtoMessage 

func (*Level) ProtoMessage()

func (*Level) Reset 

func (m *Level) Reset()

func (*Level) Size 

func (m *Level) Size() (n int)

func (*Level) String 

func (this *Level) String() string

func (*Level) Unmarshal 

func (m *Level) Unmarshal(dAtA []byte) error

func (*Level) XXX_DiscardUnknown 

func (m *Level) XXX_DiscardUnknown()

func (*Level) XXX_Marshal 

func (m *Level) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*Level) XXX_Merge 

func (m *Level) XXX_Merge(src proto.Message)

func (*Level) XXX_Size 

func (m *Level) XXX_Size() int

func (*Level) XXX_Unmarshal 

func (m *Level) XXX_Unmarshal(b []byte) error

type LossFunctionName 

type LossFunctionName string
const (
	LossFunctionNameL1                       LossFunctionName = "sgd-loss"
	LossFunctionNameMSE                      LossFunctionName = "mse-loss"
	LossFunctionNameCrossEntropy             LossFunctionName = "cross-entropy-loss"
	LossFunctionNameCTC                      LossFunctionName = "ctc-loss"
	LossFunctionNameNLL                      LossFunctionName = "nll-loss"
	LossFunctionNamePoissonNLL               LossFunctionName = "poisson-nll"
	LossFunctionNameKLDivLoss                LossFunctionName = "kl-div"
	LossFunctionNameBCELoss                  LossFunctionName = "bce-loss"
	LossFunctionNameBCEWithLogitsLoss        LossFunctionName = "bce-with-logits"
	LossFunctionNameMarginRankingLoss        LossFunctionName = "margin-ranking"
	LossFunctionNameHingeEmbeddingLoss       LossFunctionName = "hinge-embedding"
	LossFunctionNameMultiLabelMarginLoss     LossFunctionName = "multi-label-marign"
	LossFunctionNameSmoothL1Loss             LossFunctionName = "smooth-l1"
	LossFunctionNameSoftMarginLoss           LossFunctionName = "soft-margin"
	LossFunctionNameMultiLabelSoftMarginLoss LossFunctionName = "multi-label-soft-margin"
	LossFunctionNameCosineEmbeddingLoss      LossFunctionName = "multi-cosine-embedding"
	LossFunctionNameMultiMarginLoss          LossFunctionName = "multi-margin"
	LossFunctionNameTripletMarginLoss        LossFunctionName = "tripple-margin"
)

type MedianPrunerOptions added in v0.4.767 

type MedianPrunerOptions struct {
	// Pruning is disabled until the given number of trials finish in the same ModelClass.
	// +kubebuilder:default:=5
	// +kubebuilder:validation:Optional
	StartupTrials *int32 `json:"startupTrials,omitempty" protobuf:"varint,1,opt,name=startupTrials"`
	//  Pruning is disabled until the trial exceeds the given number of step
	// +kubebuilder:default:=0
	// +kubebuilder:validation:Optional
	WarmupSteps *int32 `json:"warmupSteps,omitempty" protobuf:"varint,2,opt,name=warmupSteps"`
	// Interval in number of steps between the pruning checks
	// +kubebuilder:default:=1
	// +kubebuilder:validation:Optional
	IntervalSteps *int32 `json:"intervalSteps,omitempty" protobuf:"varint,3,opt,name=intervalSteps"`
	// Minimum number of reported trials.
	// +kubebuilder:default:=1
	// +kubebuilder:validation:Optional
	MinTrials *int32 `json:"minTrials,omitempty" protobuf:"varint,4,opt,name=minTrials"`
}

func (*MedianPrunerOptions) DeepCopy added in v0.4.767 

func (in *MedianPrunerOptions) DeepCopy() *MedianPrunerOptions

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new MedianPrunerOptions.

func (*MedianPrunerOptions) DeepCopyInto added in v0.4.767 

func (in *MedianPrunerOptions) DeepCopyInto(out *MedianPrunerOptions)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*MedianPrunerOptions) Descriptor added in v0.4.767 

func (*MedianPrunerOptions) Descriptor() ([]byte, []int)

func (*MedianPrunerOptions) Marshal added in v0.4.767 

func (m *MedianPrunerOptions) Marshal() (dAtA []byte, err error)

func (*MedianPrunerOptions) MarshalTo added in v0.4.767 

func (m *MedianPrunerOptions) MarshalTo(dAtA []byte) (int, error)

func (*MedianPrunerOptions) MarshalToSizedBuffer added in v0.4.767 

func (m *MedianPrunerOptions) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*MedianPrunerOptions) ProtoMessage added in v0.4.767 

func (*MedianPrunerOptions) ProtoMessage()

func (*MedianPrunerOptions) Reset added in v0.4.767 

func (m *MedianPrunerOptions) Reset()

func (*MedianPrunerOptions) Size added in v0.4.767 

func (m *MedianPrunerOptions) Size() (n int)

func (*MedianPrunerOptions) String added in v0.4.767 

func (this *MedianPrunerOptions) String() string

func (*MedianPrunerOptions) Unmarshal added in v0.4.767 

func (m *MedianPrunerOptions) Unmarshal(dAtA []byte) error

func (*MedianPrunerOptions) XXX_DiscardUnknown added in v0.4.767 

func (m *MedianPrunerOptions) XXX_DiscardUnknown()

func (*MedianPrunerOptions) XXX_Marshal added in v0.4.767 

func (m *MedianPrunerOptions) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*MedianPrunerOptions) XXX_Merge added in v0.4.767 

func (m *MedianPrunerOptions) XXX_Merge(src proto.Message)

func (*MedianPrunerOptions) XXX_Size added in v0.4.767 

func (m *MedianPrunerOptions) XXX_Size() int

func (*MedianPrunerOptions) XXX_Unmarshal added in v0.4.767 

func (m *MedianPrunerOptions) XXX_Unmarshal(b []byte) error

type Model 

type Model struct {
	metav1.TypeMeta   `json:",inline"`
	metav1.ObjectMeta `json:"metadata,omitempty" protobuf:"bytes,1,opt,name=metadata"`
	Spec              ModelSpec `json:"spec" protobuf:"bytes,2,opt,name=spec"`
	//+optional
	Status ModelStatus `json:"status,omitempty" protobuf:"bytes,3,opt,name=status"`
}

Model represents a machine learning model that will be trained, evaluated, and deployed by Modela. Model resources are generated by the Modela data plane and cannot be created manually +kubebuilder:object:root=true +kubebuilder:subresource:status +kubebuilder:storageversion +kubebuilder:printcolumn:name="Status",type="string",JSONPath=".status.phase" +kubebuilder:printcolumn:name="Progress",type="string",JSONPath=".status.progress",priority=1 +kubebuilder:printcolumn:name="Best",type="boolean",JSONPath=".status.best" +kubebuilder:printcolumn:name="Owner",type="string",JSONPath=".spec.owner",priority=1 +kubebuilder:printcolumn:name="Version",type="string",JSONPath=".spec.versionName",priority=1 +kubebuilder:printcolumn:name="Study",type="string",JSONPath=".spec.studyName" +kubebuilder:printcolumn:name="Task",type="string",JSONPath=".spec.task",priority=1 +kubebuilder:printcolumn:name="Algorithm",type="string",JSONPath=".spec.estimator.algorithmName" +kubebuilder:printcolumn:name="Objective",type="string",JSONPath=".spec.objective" +kubebuilder:printcolumn:name="CV Score",type="number",JSONPath=".status.cvScore" +kubebuilder:printcolumn:name="Train Score",type="number",JSONPath=".status.trainScore",priority=1 +kubebuilder:printcolumn:name="Test Score",type="number",JSONPath=".status.testScore" +kubebuilder:printcolumn:name="Last Failure",type="string",JSONPath=".status.failureMessage",priority=1 +kubebuilder:printcolumn:name="Age",type="date",JSONPath=".metadata.creationTimestamp" +kubebuilder:resource:path=models,singular=model,shortName=md,categories={training,modela,all}

func NewModel 

func NewModel(
	ns string,
	name string,
	bucket string,
	study string,
	schema string,
	task catalog.MLTask) *Model

func ParseModelYaml 

func ParseModelYaml(content []byte) (*Model, error)

func (Model) Aborted 

func (model Model) Aborted() bool

func (Model) Accuracy 

func (model Model) Accuracy() float64

func (*Model) AddFinalizer 

func (model *Model) AddFinalizer()

func (Model) Age 

func (model Model) Age() string

func (Model) ArchiveKey 

func (model Model) ArchiveKey() string

func (Model) CombinedImageName 

func (model Model) CombinedImageName() string

func (Model) CompletionAlert added in v0.4.601 

func (model Model) CompletionAlert(tenantRef *v1.ObjectReference, notifierName *string) *infra.Alert

func (*Model) CreateOrUpdateCond 

func (model *Model) CreateOrUpdateCond(cond ModelCondition)

Merge or update condition

func (Model) DatasetJsonUri 

func (model Model) DatasetJsonUri() string

dataproducts/*/models/*/metadata/dataset.json

func (*Model) DeepCopy 

func (in *Model) DeepCopy() *Model

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new Model.

func (*Model) DeepCopyInto 

func (in *Model) DeepCopyInto(out *Model)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*Model) DeepCopyObject 

func (in *Model) DeepCopyObject() runtime.Object

DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object.

func (*Model) Default 

func (model *Model) Default()

func (Model) DefaultImageName 

func (model Model) DefaultImageName() string

func (Model) DefaultObjective 

func (model Model) DefaultObjective() catalog.Metric

func (Model) DepotKey 

func (model Model) DepotKey() string

func (*Model) Descriptor 

func (*Model) Descriptor() ([]byte, []int)

func (Model) DockerfileUri 

func (model Model) DockerfileUri() string

dataproducts/*/models/*/Dockerfile

func (Model) Done 

func (model Model) Done() bool

func (Model) ErrorAlert added in v0.4.601 

func (model Model) ErrorAlert(tenantRef *v1.ObjectReference, notifierName *string, err error) *infra.Alert

func (Model) ExplainModelUri 

func (model Model) ExplainModelUri() string

func (Model) Explained 

func (model Model) Explained() bool

func (Model) F1 

func (model Model) F1() float64

func (Model) Failed 

func (model Model) Failed() bool

func (Model) FeedbackTested added in v0.5.46 

func (model Model) FeedbackTested() bool

func (Model) ForecastUri 

func (model Model) ForecastUri() string

func (Model) Forecasted 

func (model Model) Forecasted() bool

Answer true if the model has been forecasted

func (*Model) GetCond 

func (model *Model) GetCond(t ModelConditionType) ModelCondition

func (*Model) GetCondIdx 

func (model *Model) GetCondIdx(t ModelConditionType) int

func (Model) GetTestResult 

func (model Model) GetTestResult(metric catalog.Metric) float64

return the result for a metric

func (*Model) GroupFolder added in v0.5.209 

func (model *Model) GroupFolder() string

func (*Model) GroupModelFile added in v0.5.218 

func (model *Model) GroupModelFile() string

func (*Model) GroupModelFolder added in v0.5.209 

func (model *Model) GroupModelFolder() string

func (*Model) GroupModelForecastFile added in v0.5.210 

func (model *Model) GroupModelForecastFile() string

func (*Model) GroupModelProfileFolder added in v0.5.209 

func (model *Model) GroupModelProfileFolder() string

func (*Model) GroupModelReportFile added in v0.5.210 

func (model *Model) GroupModelReportFile() string

func (Model) HasFinalizer 

func (model Model) HasFinalizer() bool

func (*Model) IndexFileKey added in v0.5.190 

func (model *Model) IndexFileKey() string

func (*Model) InitModelFromStudy 

func (model *Model) InitModelFromStudy(study *Study)

func (Model) IsArchived 

func (model Model) IsArchived() bool

func (Model) IsBaseline 

func (model Model) IsBaseline() bool

func (Model) IsEnsemble 

func (model Model) IsEnsemble() bool

func (Model) IsExpired 

func (model Model) IsExpired(minutes int) bool

func (Model) IsFE 

func (model Model) IsFE() bool

func (Model) IsGroup added in v0.5.155 

func (model Model) IsGroup() bool

func (Model) IsLive 

func (model Model) IsLive() bool

func (Model) IsPredicted added in v0.5.135 

func (model Model) IsPredicted() bool

func (Model) IsReady 

func (model Model) IsReady() bool

func (Model) IsReleasing 

func (model Model) IsReleasing() bool

func (Model) IsSaved 

func (model Model) IsSaved() bool

func (Model) IsSearch 

func (model Model) IsSearch() bool

func (Model) IsTest 

func (model Model) IsTest() bool

func (Model) Key 

func (model Model) Key() string

func (Model) LiveKey 

func (model Model) LiveKey() string

func (Model) MAPE 

func (model Model) MAPE() float64

func (Model) Maintain 

func (model Model) Maintain() bool

func (Model) ManifestUri 

func (model Model) ManifestUri() string

func (*Model) MarkAborted 

func (model *Model) MarkAborted()

func (*Model) MarkArchived 

func (model *Model) MarkArchived()

func (*Model) MarkExplained 

func (model *Model) MarkExplained(image string)

func (*Model) MarkExplainedFailed 

func (model *Model) MarkExplainedFailed(err string)

func (*Model) MarkExplaining 

func (model *Model) MarkExplaining()

func (*Model) MarkFailedToMerge added in v0.5.202 

func (model *Model) MarkFailedToMerge(err string)

func (*Model) MarkFailedToTrain 

func (model *Model) MarkFailedToTrain(err string)

func (*Model) MarkFailedToTune added in v0.5.139 

func (model *Model) MarkFailedToTune(err string)

func (*Model) MarkFeedbackTestFailed added in v0.5.46 

func (model *Model) MarkFeedbackTestFailed(msg string)

func (*Model) MarkFeedbackTested added in v0.5.46 

func (model *Model) MarkFeedbackTested()

func (*Model) MarkFeedbackTesting added in v0.5.46 

func (model *Model) MarkFeedbackTesting()

func (*Model) MarkForecastFailed 

func (model *Model) MarkForecastFailed(err string)

func (*Model) MarkForecasted 

func (model *Model) MarkForecasted()

func (*Model) MarkForecasting 

func (model *Model) MarkForecasting()

func (*Model) MarkLive 

func (model *Model) MarkLive(predictor string, role catalog.ModelRole)

func (*Model) MarkMaintain 

func (model *Model) MarkMaintain()

func (*Model) MarkMerged added in v0.5.202 

func (model *Model) MarkMerged()

func (*Model) MarkMerging added in v0.5.202 

func (model *Model) MarkMerging()

func (*Model) MarkPackaged 

func (model *Model) MarkPackaged(image string)

func (*Model) MarkPackaging 

func (model *Model) MarkPackaging()

func (*Model) MarkPackgedFailed 

func (model *Model) MarkPackgedFailed(err string)

func (*Model) MarkPaused 

func (model *Model) MarkPaused()

func (*Model) MarkPredicted added in v0.5.135 

func (model *Model) MarkPredicted()

func (*Model) MarkPredicting added in v0.5.135 

func (model *Model) MarkPredicting()

func (*Model) MarkProfiled 

func (model *Model) MarkProfiled(uri string)

func (*Model) MarkProfiledFailed 

func (model *Model) MarkProfiledFailed(err string)

func (*Model) MarkProfiling 

func (model *Model) MarkProfiling()

func (*Model) MarkPruned added in v0.4.764 

func (model *Model) MarkPruned(uri string)

func (*Model) MarkPublishFailed 

func (model *Model) MarkPublishFailed(err string)

func (*Model) MarkPublished 

func (model *Model) MarkPublished(image string)

func (*Model) MarkPublishing 

func (model *Model) MarkPublishing()

func (*Model) MarkReady 

func (model *Model) MarkReady()

func (*Model) MarkReleaseFailed added in v0.4.448 

func (model *Model) MarkReleaseFailed(err string)

func (*Model) MarkReleasing 

func (model *Model) MarkReleasing()

func (*Model) MarkReportFailed 

func (model *Model) MarkReportFailed(err string)

func (*Model) MarkReported 

func (model *Model) MarkReported(name string)

func (*Model) MarkReporting 

func (model *Model) MarkReporting()

--------------- Reporting

func (*Model) MarkResumed 

func (model *Model) MarkResumed()

func (*Model) MarkSaved 

func (model *Model) MarkSaved()

func (*Model) MarkTested 

func (model *Model) MarkTested()

func (*Model) MarkTesting 

func (model *Model) MarkTesting()

func (*Model) MarkTestingFailed 

func (model *Model) MarkTestingFailed(err string)

func (*Model) MarkTrained 

func (model *Model) MarkTrained(ms []catalog.Measurement)

func (*Model) MarkTrainedDriftDetector added in v0.4.732 

func (model *Model) MarkTrainedDriftDetector(image string)

func (*Model) MarkTrainedDriftDetectorFailed added in v0.4.732 

func (model *Model) MarkTrainedDriftDetectorFailed(err string)

func (*Model) MarkTraining 

func (model *Model) MarkTraining()

func (*Model) MarkTrainingDriftDetector added in v0.4.732 

func (model *Model) MarkTrainingDriftDetector()

--------------------- Train DriftStatus detector

func (*Model) MarkTuned added in v0.5.139 

func (model *Model) MarkTuned(ms []catalog.Measurement)

func (*Model) MarkUndeployed added in v0.4.903 

func (model *Model) MarkUndeployed()

func (*Model) MarkUnitTestFailed added in v0.5.28 

func (model *Model) MarkUnitTestFailed(msg string, stop bool)

func (*Model) MarkUnitTested added in v0.5.28 

func (model *Model) MarkUnitTested()

func (*Model) MarkUnitTesting added in v0.5.37 

func (model *Model) MarkUnitTesting()

func (*Model) MarkWaitingToTest 

func (model *Model) MarkWaitingToTest()

func (*Model) MarkWaitingToTrain 

func (model *Model) MarkWaitingToTrain()

func (*Model) Marshal 

func (m *Model) Marshal() (dAtA []byte, err error)

func (*Model) MarshalTo 

func (m *Model) MarshalTo(dAtA []byte) (int, error)

func (*Model) MarshalToSizedBuffer 

func (m *Model) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*Model) Merged added in v0.5.202 

func (model *Model) Merged() bool

func (*Model) Merging added in v0.5.202 

func (model *Model) Merging() bool

func (*Model) MerginingFailed added in v0.5.202 

func (model *Model) MerginingFailed() bool

func (Model) ModelJsonUri 

func (model Model) ModelJsonUri() string

dataproducts/*/models/*/metadata/model.json

func (Model) OpName 

func (model Model) OpName() string

func (Model) Packaged 

func (model Model) Packaged() bool

func (Model) Paused 

func (model Model) Paused() bool

func (Model) Precision 

func (model Model) Precision() float64

func (Model) ProductVersionJsonUri 

func (model Model) ProductVersionJsonUri() string

dataproducts/*/models/*/metadata/productversion.json

func (Model) Profiled 

func (model Model) Profiled() bool

func (*Model) ProtoMessage 

func (*Model) ProtoMessage()

func (Model) Pruned added in v0.4.764 

func (model Model) Pruned() bool

func (Model) Published 

func (model Model) Published() bool

func (Model) R2 

func (model Model) R2() float64

func (Model) RMSE 

func (model Model) RMSE() float64

func (Model) RMSLE 

func (model Model) RMSLE() float64

func (Model) Recall 

func (model Model) Recall() float64

func (*Model) RemoveFinalizer 

func (model *Model) RemoveFinalizer()

func (Model) ReportName 

func (model Model) ReportName() string

func (Model) ReportType 

func (model Model) ReportType() ReportType

func (Model) ReportUri 

func (model Model) ReportUri() string

dataproducts/*/models/*/model-<name>-report.pdf

func (Model) Reported 

func (model Model) Reported() bool

func (*Model) Reset 

func (m *Model) Reset()

func (Model) RootUri 

func (model Model) RootUri() string

func (Model) SchemaJsonUri 

func (model Model) SchemaJsonUri() string

dataproducts/*/models/*/metadata/schema.json

func (*Model) SetBracket 

func (model *Model) SetBracket(v int32)

func (*Model) SetRung 

func (model *Model) SetRung(v int32)

func (*Model) SetupWebhookWithManager 

func (model *Model) SetupWebhookWithManager(mgr ctrl.Manager) error

Set up the webhook with the manager.

func (*Model) Size 

func (m *Model) Size() (n int)

func (Model) StatusString 

func (model Model) StatusString() string

func (*Model) String 

func (this *Model) String() string

func (Model) StudyJsonUri 

func (model Model) StudyJsonUri() string

dataproducts/*/models/*/metadata/study.json

func (Model) TarUri 

func (model Model) TarUri() string

func (*Model) TaskIndexFileKey added in v0.5.196 

func (model *Model) TaskIndexFileKey(task string) string

This is the index file for task

func (Model) Tested 

func (model Model) Tested() bool

func (Model) Testing 

func (model Model) Testing() bool

func (Model) TestingFailed 

func (model Model) TestingFailed() bool

func (Model) Trained 

func (model Model) Trained() bool

func (Model) TrainedDriftDetector added in v0.4.732 

func (model Model) TrainedDriftDetector() bool

func (Model) Training 

func (model Model) Training() bool

func (Model) TrainingFailed 

func (model Model) TrainingFailed() bool

func (*Model) Tuned added in v0.5.139 

func (model *Model) Tuned() bool

func (*Model) Tuning added in v0.5.139 

func (model *Model) Tuning() bool

func (*Model) TuningFailed added in v0.5.139 

func (model *Model) TuningFailed() bool

func (Model) UnitTested added in v0.5.37 

func (model Model) UnitTested() bool

func (*Model) Unmarshal 

func (m *Model) Unmarshal(dAtA []byte) error

func (Model) ValidateCreate 

func (model Model) ValidateCreate() error

ValidateCreate implements webhook.Validator so a webhook will be registered for the type

func (Model) ValidateDelete 

func (model Model) ValidateDelete() error

func (Model) ValidateUpdate 

func (model Model) ValidateUpdate(old runtime.Object) error

ValidateUpdate implements webhook.Validator so a webhook will be registered for the type

func (Model) WaitingToTest 

func (model Model) WaitingToTest() bool

func (Model) WaitingToTrain 

func (model Model) WaitingToTrain() bool

func (Model) WeightsUri 

func (model Model) WeightsUri() string

dataproducts/*/models/*/bin/model.joblib

func (*Model) WorkerIndexFileKey added in v0.5.193 

func (model *Model) WorkerIndexFileKey(workerIndex int, task string) string

func (*Model) XXX_DiscardUnknown 

func (m *Model) XXX_DiscardUnknown()

func (*Model) XXX_Marshal 

func (m *Model) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*Model) XXX_Merge 

func (m *Model) XXX_Merge(src proto.Message)

func (*Model) XXX_Size 

func (m *Model) XXX_Size() int

func (*Model) XXX_Unmarshal 

func (m *Model) XXX_Unmarshal(b []byte) error

type ModelAutobuilder 

type ModelAutobuilder struct {
	metav1.TypeMeta   `json:",inline"`
	metav1.ObjectMeta `json:"metadata,omitempty" protobuf:"bytes,1,opt,name=metadata"`

	Spec   ModelAutobuilderSpec   `json:"spec" protobuf:"bytes,2,opt,name=spec"`
	Status ModelAutobuilderStatus `json:"status,omitempty" protobuf:"bytes,3,opt,name=status"`
}

ModelAutobuilder represents an automated pipeline to train and deploy a model based on a given dataset +kubebuilder:object:root=true +kubebuilder:subresource:status +kubebuilder:storageversion +kubebuilder:printcolumn:name="Status",type="string",JSONPath=".status.phase" +kubebuilder:printcolumn:name="Location Product",type="string",JSONPath=".spec.dataProductName" +kubebuilder:printcolumn:name="Version",type="string",JSONPath=".spec.dataProductVersionName" +kubebuilder:printcolumn:name="Entity",type="string",JSONPath=".status.datasetName" +kubebuilder:printcolumn:name="Study",type="string",JSONPath=".status.studyName" +kubebuilder:printcolumn:name="Predictor",type="string",JSONPath=".status.predictorName" +kubebuilder:printcolumn:name="StartTime",type="date",JSONPath=".status.startTime",priority=1 +kubebuilder:printcolumn:name="CompletionTime",type="date",JSONPath=".status.completionTime",priority=1 +kubebuilder:printcolumn:name="Age",type="date",JSONPath=".metadata.creationTimestamp" +kubebuilder:resource:path=modelautobuilders,singular=modelautobuilder,shortName=ar,categories={training,modela,all} ModelAutobuilder represent an automatic run of all the phases needed to create a model

func ParseModelAutobuilderYaml 

func ParseModelAutobuilderYaml(content []byte) (*ModelAutobuilder, error)

func (*ModelAutobuilder) AddFinalizer 

func (b *ModelAutobuilder) AddFinalizer()

func (*ModelAutobuilder) Age 

func (b *ModelAutobuilder) Age() string

func (*ModelAutobuilder) CompletionAlert added in v0.4.601 

func (run *ModelAutobuilder) CompletionAlert(tenantRef *v1.ObjectReference, notifierName *string) *infra.Alert

Generate a dataset completion alert

func (*ModelAutobuilder) CreateDataProduct 

func (b *ModelAutobuilder) CreateDataProduct() *data.DataProduct

func (*ModelAutobuilder) CreateDataProductVersion 

func (b *ModelAutobuilder) CreateDataProductVersion() *data.DataProductVersion

func (*ModelAutobuilder) CreateDataSource 

func (b *ModelAutobuilder) CreateDataSource(columns []data.Column) *data.DataSource

func (*ModelAutobuilder) CreateDataset 

func (b *ModelAutobuilder) CreateDataset(notification catalog.NotificationSpec) *data.Dataset

func (*ModelAutobuilder) CreateOrUpdateCond 

func (b *ModelAutobuilder) CreateOrUpdateCond(cond ModelAutobuilderCondition)

Merge or update condition

func (*ModelAutobuilder) CreateStudy 

func (b *ModelAutobuilder) CreateStudy(notification catalog.NotificationSpec) *Study

func (*ModelAutobuilder) DataAppName added in v0.4.387 

func (b *ModelAutobuilder) DataAppName() string

func (*ModelAutobuilder) DataAppReady added in v0.4.388 

func (b *ModelAutobuilder) DataAppReady() bool

func (*ModelAutobuilder) DataProductName 

func (b *ModelAutobuilder) DataProductName() string

func (*ModelAutobuilder) DataProductReady 

func (b *ModelAutobuilder) DataProductReady() bool

func (*ModelAutobuilder) DataProductVersionName 

func (b *ModelAutobuilder) DataProductVersionName() string

func (*ModelAutobuilder) DataProductVersionReady 

func (b *ModelAutobuilder) DataProductVersionReady() bool

func (*ModelAutobuilder) DataSourceReady 

func (b *ModelAutobuilder) DataSourceReady() bool

func (*ModelAutobuilder) DatasetName 

func (b *ModelAutobuilder) DatasetName() string

func (*ModelAutobuilder) DatasetReady 

func (b *ModelAutobuilder) DatasetReady() bool

func (*ModelAutobuilder) DatasourceName 

func (b *ModelAutobuilder) DatasourceName() string

func (*ModelAutobuilder) DeepCopy 

func (in *ModelAutobuilder) DeepCopy() *ModelAutobuilder

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelAutobuilder.

func (*ModelAutobuilder) DeepCopyInto 

func (in *ModelAutobuilder) DeepCopyInto(out *ModelAutobuilder)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelAutobuilder) DeepCopyObject 

func (in *ModelAutobuilder) DeepCopyObject() runtime.Object

DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object.

func (*ModelAutobuilder) Default 

func (b *ModelAutobuilder) Default()

func (*ModelAutobuilder) Deleted 

func (b *ModelAutobuilder) Deleted() bool

func (*ModelAutobuilder) Descriptor 

func (*ModelAutobuilder) Descriptor() ([]byte, []int)

func (*ModelAutobuilder) ErrorAlert added in v0.4.601 

func (run *ModelAutobuilder) ErrorAlert(tenantRef *v1.ObjectReference, notifierName *string, err error) *infra.Alert

func (*ModelAutobuilder) FileName 

func (b *ModelAutobuilder) FileName() string

Answer the last component in the path

func (*ModelAutobuilder) GetCond 

func (b *ModelAutobuilder) GetCond(t ModelAutobuilderConditionType) ModelAutobuilderCondition

func (*ModelAutobuilder) GetCondIdx 

func (b *ModelAutobuilder) GetCondIdx(t ModelAutobuilderConditionType) int

func (*ModelAutobuilder) HasFinalizer 

func (b *ModelAutobuilder) HasFinalizer() bool

func (*ModelAutobuilder) ManifestUri 

func (b *ModelAutobuilder) ManifestUri() string

func (*ModelAutobuilder) MarkArchived 

func (b *ModelAutobuilder) MarkArchived()

func (*ModelAutobuilder) MarkComplete 

func (b *ModelAutobuilder) MarkComplete()

func (*ModelAutobuilder) MarkDataAppFailed added in v0.4.387 

func (b *ModelAutobuilder) MarkDataAppFailed(err error)

func (*ModelAutobuilder) MarkDataAppReady added in v0.4.387 

func (b *ModelAutobuilder) MarkDataAppReady()

func (*ModelAutobuilder) MarkDataAppRunning added in v0.4.387 

func (b *ModelAutobuilder) MarkDataAppRunning()

Location App

func (*ModelAutobuilder) MarkDataProductReady 

func (b *ModelAutobuilder) MarkDataProductReady()

func (*ModelAutobuilder) MarkDataProductVersionReady 

func (b *ModelAutobuilder) MarkDataProductVersionReady()

func (*ModelAutobuilder) MarkDataSetFailed 

func (b *ModelAutobuilder) MarkDataSetFailed(err error)

DatasetFailed

func (*ModelAutobuilder) MarkDataSetRunning 

func (b *ModelAutobuilder) MarkDataSetRunning()

func (*ModelAutobuilder) MarkDataSourceRunning 

func (b *ModelAutobuilder) MarkDataSourceRunning()

func (*ModelAutobuilder) MarkDatasetReady 

func (b *ModelAutobuilder) MarkDatasetReady()

DatasetSuccess

func (*ModelAutobuilder) MarkDatasetRunning 

func (b *ModelAutobuilder) MarkDatasetRunning()

func (*ModelAutobuilder) MarkDatasourceFailed 

func (b *ModelAutobuilder) MarkDatasourceFailed(err error)

func (*ModelAutobuilder) MarkDatasourceReady 

func (b *ModelAutobuilder) MarkDatasourceReady()

func (*ModelAutobuilder) MarkFailed 

func (b *ModelAutobuilder) MarkFailed(err error)

func (*ModelAutobuilder) MarkPredictorFailed 

func (b *ModelAutobuilder) MarkPredictorFailed(err error)

func (*ModelAutobuilder) MarkPredictorReady 

func (b *ModelAutobuilder) MarkPredictorReady()

func (*ModelAutobuilder) MarkPredictorRunning 

func (b *ModelAutobuilder) MarkPredictorRunning()

func (*ModelAutobuilder) MarkStudyFailed 

func (b *ModelAutobuilder) MarkStudyFailed(err error)

StudyFailed

func (*ModelAutobuilder) MarkStudyReady 

func (b *ModelAutobuilder) MarkStudyReady()

StudySuccess

func (*ModelAutobuilder) MarkStudyRunning 

func (b *ModelAutobuilder) MarkStudyRunning()

StudyRunning

func (*ModelAutobuilder) Marshal 

func (m *ModelAutobuilder) Marshal() (dAtA []byte, err error)

func (*ModelAutobuilder) MarshalTo 

func (m *ModelAutobuilder) MarshalTo(dAtA []byte) (int, error)

func (*ModelAutobuilder) MarshalToSizedBuffer 

func (m *ModelAutobuilder) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelAutobuilder) PredictorName 

func (b *ModelAutobuilder) PredictorName() string

func (*ModelAutobuilder) PredictorReady 

func (b *ModelAutobuilder) PredictorReady() bool

func (*ModelAutobuilder) PrintConditions 

func (b *ModelAutobuilder) PrintConditions()

func (*ModelAutobuilder) ProtoMessage 

func (*ModelAutobuilder) ProtoMessage()

func (*ModelAutobuilder) Ready 

func (b *ModelAutobuilder) Ready() bool

func (*ModelAutobuilder) RemoveFinalizer 

func (b *ModelAutobuilder) RemoveFinalizer()

func (*ModelAutobuilder) Reset 

func (m *ModelAutobuilder) Reset()

func (*ModelAutobuilder) RootUri 

func (b *ModelAutobuilder) RootUri() string

func (*ModelAutobuilder) SchemaName 

func (b *ModelAutobuilder) SchemaName() string

func (*ModelAutobuilder) SetupWebhookWithManager 

func (b *ModelAutobuilder) SetupWebhookWithManager(mgr ctrl.Manager) error

Set up the webhook with the manager.

func (*ModelAutobuilder) Size 

func (m *ModelAutobuilder) Size() (n int)

func (*ModelAutobuilder) String 

func (this *ModelAutobuilder) String() string

func (*ModelAutobuilder) StudyName 

func (b *ModelAutobuilder) StudyName() string

func (*ModelAutobuilder) StudyReady 

func (b *ModelAutobuilder) StudyReady() bool

func (*ModelAutobuilder) TestUri 

func (b *ModelAutobuilder) TestUri() string

func (*ModelAutobuilder) TrainUri 

func (b *ModelAutobuilder) TrainUri() string

dataproducts/*/featureSources/*/data/<file>.features.train

func (*ModelAutobuilder) Unmarshal 

func (m *ModelAutobuilder) Unmarshal(dAtA []byte) error

func (*ModelAutobuilder) ValidateCreate 

func (b *ModelAutobuilder) ValidateCreate() error

ValidateCreate implements webhook.Validator so a webhook will be registered for the type

func (*ModelAutobuilder) ValidateDelete 

func (b *ModelAutobuilder) ValidateDelete() error

func (*ModelAutobuilder) ValidateUpdate 

func (b *ModelAutobuilder) ValidateUpdate(old runtime.Object) error

ValidateUpdate implements webhook.Validator so a webhook will be registered for the type

func (*ModelAutobuilder) WeightsUri 

func (b *ModelAutobuilder) WeightsUri() string

dataproducts/*/models/*/bin/model.joblib

func (*ModelAutobuilder) XXX_DiscardUnknown 

func (m *ModelAutobuilder) XXX_DiscardUnknown()

func (*ModelAutobuilder) XXX_Marshal 

func (m *ModelAutobuilder) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelAutobuilder) XXX_Merge 

func (m *ModelAutobuilder) XXX_Merge(src proto.Message)

func (*ModelAutobuilder) XXX_Size 

func (m *ModelAutobuilder) XXX_Size() int

func (*ModelAutobuilder) XXX_Unmarshal 

func (m *ModelAutobuilder) XXX_Unmarshal(b []byte) error

type ModelAutobuilderCondition 

type ModelAutobuilderCondition struct {
	// Type of ModelAutobuilder condition
	Type ModelAutobuilderConditionType `json:"type" protobuf:"bytes,1,opt,name=type,casttype=ModelAutobuilderConditionType"`
	// Status of the condition, one of True, False, Unknown
	Status v1.ConditionStatus `json:"status" protobuf:"bytes,2,opt,name=status,casttype=k8s.io/api/core/v1.ConditionStatus"`
	// Last time the condition transitioned from one status to another
	LastTransitionTime *metav1.Time `json:"lastTransitionTime,omitempty" protobuf:"bytes,4,opt,name=lastTransitionTime"`
	// The reason for the condition's last transition
	Reason string `json:"reason,omitempty" protobuf:"bytes,5,opt,name=reason"`
	// A human-readable message indicating details about the transition
	Message string `json:"message,omitempty" protobuf:"bytes,6,opt,name=message"`
}

ModelAutobuilderCondition describes the state of a ModelAutobuilder at a certain point

func (*ModelAutobuilderCondition) DeepCopy 

func (in *ModelAutobuilderCondition) DeepCopy() *ModelAutobuilderCondition

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelAutobuilderCondition.

func (*ModelAutobuilderCondition) DeepCopyInto 

func (in *ModelAutobuilderCondition) DeepCopyInto(out *ModelAutobuilderCondition)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelAutobuilderCondition) Descriptor 

func (*ModelAutobuilderCondition) Descriptor() ([]byte, []int)

func (*ModelAutobuilderCondition) Marshal 

func (m *ModelAutobuilderCondition) Marshal() (dAtA []byte, err error)

func (*ModelAutobuilderCondition) MarshalTo 

func (m *ModelAutobuilderCondition) MarshalTo(dAtA []byte) (int, error)

func (*ModelAutobuilderCondition) MarshalToSizedBuffer 

func (m *ModelAutobuilderCondition) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelAutobuilderCondition) ProtoMessage 

func (*ModelAutobuilderCondition) ProtoMessage()

func (*ModelAutobuilderCondition) Reset 

func (m *ModelAutobuilderCondition) Reset()

func (*ModelAutobuilderCondition) Size 

func (m *ModelAutobuilderCondition) Size() (n int)

func (*ModelAutobuilderCondition) String 

func (this *ModelAutobuilderCondition) String() string

func (*ModelAutobuilderCondition) Unmarshal 

func (m *ModelAutobuilderCondition) Unmarshal(dAtA []byte) error

func (*ModelAutobuilderCondition) XXX_DiscardUnknown 

func (m *ModelAutobuilderCondition) XXX_DiscardUnknown()

func (*ModelAutobuilderCondition) XXX_Marshal 

func (m *ModelAutobuilderCondition) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelAutobuilderCondition) XXX_Merge 

func (m *ModelAutobuilderCondition) XXX_Merge(src proto.Message)

func (*ModelAutobuilderCondition) XXX_Size 

func (m *ModelAutobuilderCondition) XXX_Size() int

func (*ModelAutobuilderCondition) XXX_Unmarshal 

func (m *ModelAutobuilderCondition) XXX_Unmarshal(b []byte) error

type ModelAutobuilderConditionType 

type ModelAutobuilderConditionType string

ModelAutobuilderConditionType represent the condition of a ModelAutobuilder 

const (
	ModelAutobuilderReady                   ModelAutobuilderConditionType = "Ready"
	ModelAutobuilderDataProductReady        ModelAutobuilderConditionType = "DataProductReady"
	ModelAutobuilderDataProductVersionReady ModelAutobuilderConditionType = "DataProductVersionReady"
	ModelAutobuilderDataSourceReady         ModelAutobuilderConditionType = "DataSourceReady"
	ModelAutobuilderDatasetCompleted        ModelAutobuilderConditionType = "DatasetCompleted"
	ModelAutobuilderStudyCompleted          ModelAutobuilderConditionType = "StudyCompleted"
	ModelAutobuilderPredictorReady          ModelAutobuilderConditionType = "PredictorReady"
	ModelAutobuilderDataAppReady            ModelAutobuilderConditionType = "DataAppReady"
	ModelAutobuilderSaved                   ModelAutobuilderConditionType = "Saved"
)

type ModelAutobuilderList 

type ModelAutobuilderList struct {
	metav1.TypeMeta `json:",inline"`
	metav1.ListMeta `json:"metadata,omitempty" protobuf:"bytes,1,opt,name=metadata"`
	Items           []ModelAutobuilder `json:"items" protobuf:"bytes,2,rep,name=items"`
}

ModelAutobuilderList contains a list of ModelAutoBuilders +kubebuilder:object:root=true

func (*ModelAutobuilderList) DeepCopy 

func (in *ModelAutobuilderList) DeepCopy() *ModelAutobuilderList

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelAutobuilderList.

func (*ModelAutobuilderList) DeepCopyInto 

func (in *ModelAutobuilderList) DeepCopyInto(out *ModelAutobuilderList)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelAutobuilderList) DeepCopyObject 

func (in *ModelAutobuilderList) DeepCopyObject() runtime.Object

DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object.

func (*ModelAutobuilderList) Descriptor 

func (*ModelAutobuilderList) Descriptor() ([]byte, []int)

func (*ModelAutobuilderList) Marshal 

func (m *ModelAutobuilderList) Marshal() (dAtA []byte, err error)

func (*ModelAutobuilderList) MarshalTo 

func (m *ModelAutobuilderList) MarshalTo(dAtA []byte) (int, error)

func (*ModelAutobuilderList) MarshalToSizedBuffer 

func (m *ModelAutobuilderList) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelAutobuilderList) ProtoMessage 

func (*ModelAutobuilderList) ProtoMessage()

func (*ModelAutobuilderList) Reset 

func (m *ModelAutobuilderList) Reset()

func (*ModelAutobuilderList) Size 

func (m *ModelAutobuilderList) Size() (n int)

func (*ModelAutobuilderList) String 

func (this *ModelAutobuilderList) String() string

func (*ModelAutobuilderList) Unmarshal 

func (m *ModelAutobuilderList) Unmarshal(dAtA []byte) error

func (*ModelAutobuilderList) XXX_DiscardUnknown 

func (m *ModelAutobuilderList) XXX_DiscardUnknown()

func (*ModelAutobuilderList) XXX_Marshal 

func (m *ModelAutobuilderList) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelAutobuilderList) XXX_Merge 

func (m *ModelAutobuilderList) XXX_Merge(src proto.Message)

func (*ModelAutobuilderList) XXX_Size 

func (m *ModelAutobuilderList) XXX_Size() int

func (*ModelAutobuilderList) XXX_Unmarshal 

func (m *ModelAutobuilderList) XXX_Unmarshal(b []byte) error

type ModelAutobuilderPhase 

type ModelAutobuilderPhase string

ModelAutobuilderPhase represent that state of the model auto builder 

const (
	ModelAutobuilderPhasePending            ModelAutobuilderPhase = "Pending"
	ModelAutobuilderPhaseDataSourceRunning  ModelAutobuilderPhase = "DataSourceRunning"
	ModelAutobuilderPhaseDataSourceReady    ModelAutobuilderPhase = "DataSourceReady"
	ModelAutobuilderPhaseDatasetRunning     ModelAutobuilderPhase = "DatasetRunning"
	ModelAutobuilderPhaseDatasetCompleted   ModelAutobuilderPhase = "DatasetCompleted"
	ModelAutobuilderPhaseStudyRunning       ModelAutobuilderPhase = "StudyRunning"
	ModelAutobuilderPhaseStudyCompleted     ModelAutobuilderPhase = "StudyCompleted"
	ModelAutobuilderPhasePredictorRunning   ModelAutobuilderPhase = "PredictorRunning"
	ModelAutobuilderPhasePredictorCompleted ModelAutobuilderPhase = "PredictorCompleted"
	ModelAutobuilderPhaseDataAppRunning     ModelAutobuilderPhase = "DataAppRunning"
	ModelAutobuilderPhaseDataAppCompleted   ModelAutobuilderPhase = "DataAppCompleted"
	ModelAutobuilderPhaseCompleted          ModelAutobuilderPhase = "Completed"
	ModelAutobuilderPhaseAborted            ModelAutobuilderPhase = "Aborted"
	ModelAutobuilderPhaseFailed             ModelAutobuilderPhase = "Failed"
)

type ModelAutobuilderSpec 

type ModelAutobuilderSpec struct {
	// The name of the DataProduct namespace that the resource exists under
	// +kubebuilder:validation:MaxLength=63
	// +kubebuilder:validation:Pattern="[a-z0-9]([-a-z0-9]*[a-z0-9])?(\\.[a-z0-9]([-a-z0-9]*[a-z0-9])?)*"
	// +kubebuilder:validation:Optional
	DataProductName *string `json:"dataProductName,omitempty" protobuf:"bytes,1,opt,name=dataProductName"`
	// The name of the DataProductVersion which describes the version of the resource
	// that exists in the same DataProduct namespace as the resource
	// +kubebuilder:validation:MaxLength=253
	// +kubebuilder:validation:Pattern="[a-z0-9]([-a-z0-9]*[a-z0-9])?(\\.[a-z0-9]([-a-z0-9]*[a-z0-9])?)*"
	// +kubebuilder:validation:Optional
	DataProductVersionName *string `json:"dataProductVersionName,omitempty" protobuf:"bytes,2,opt,name=dataProductVersionName"`
	// DataSourceName is the name of an existing DataSource resource which will be used as the schema for the ModelAutoBuilder's Entity.
	// If empty, a DataSource will be automatically created based on the data specified by the Location field
	// +kubebuilder:validation:MaxLength=253
	// +kubebuilder:validation:Pattern="[a-z0-9]([-a-z0-9]*[a-z0-9])?(\\.[a-z0-9]([-a-z0-9]*[a-z0-9])?)*"
	// +kubebuilder:validation:Optional
	DataSourceName *string `json:"datasourceName,omitempty" protobuf:"bytes,3,opt,name=datasourceName"`
	// The name of an existing Entity resource, or the name of the Entity resource that will be created
	// based on the data specified by the Location field, which will be used to train models
	// +kubebuilder:validation:Pattern="[a-z0-9]([-a-z0-9]*[a-z0-9])?(\\.[a-z0-9]([-a-z0-9]*[a-z0-9])?)*"
	// +kubebuilder:validation:MaxLength=253
	DatasetName *string `json:"datasetName,omitempty" protobuf:"bytes,4,opt,name=datasetName"`
	// The location for data that will be saved in a Entity resource to train models with
	// +kubebuilder:validation:Optional
	Location data.DataLocation `json:"location,omitempty" protobuf:"bytes,5,opt,name=location"`
	// The machine learning task type relevant to the dataset (i.e. regression, classification)
	Task *catalog.MLTask `json:"task,omitempty" protobuf:"bytes,6,opt,name=task"`
	// The machine learning subtask relevant to the primary task (text classification, image object detection, etc.)
	// +kubebuilder:default:="none"
	// +kubebuilder:validation:Optional
	SubTask *catalog.MLSubtask `json:"subtask,omitempty" protobuf:"bytes,7,opt,name=subtask"`
	// The objective metric that will be measured against trained models to evaluate their performance
	// +kubebuilder:validation:Optional
	Objective *catalog.Metric `json:"objective,omitempty" protobuf:"bytes,8,opt,name=objective"`
	// The name of the column within the dataset that contains the label(s) to be predicted
	// +kubebuilder:validation:MaxLength=128
	// +kubebuilder:validation:Optional
	TargetColumn *string `json:"targetColumn,omitempty" protobuf:"bytes,9,opt,name=targetColumn"`
	// The deadline for models to complete training, in seconds
	// +kubebuilder:validation:Maximum=36000
	// +kubebuilder:validation:Minimum=1
	// +kubebuilder:default:=3600
	// +kubebuilder:validation:Optional
	MaxTime *int32 `json:"maxTime,omitempty" protobuf:"varint,10,opt,name=maxTime"`
	// The number of candidate models that will be sampled and trained
	// +kubebuilder:validation:Maximum=512
	// +kubebuilder:validation:Minimum=1
	// +kubebuilder:default:=10
	// +kubebuilder:validation:Optional
	MaxModels *int32 `json:"maxModels,omitempty" protobuf:"varint,11,opt,name=maxModels"`
	// The Kubernetes-native access method which specifies how the Predictor created by the ModelAutobuilder will be exposed.
	// See https://modela.ai/docs/docs/serving/production/#access-method for a detailed description of each access type
	// +kubebuilder:default:=cluster-ip
	// +kubebuilder:validation:Optional
	AccessMethod *catalog.AccessType `json:"accessMethod,omitempty" protobuf:"bytes,12,opt,name=accessMethod"`
	// Indicates if the Predictor created by the ModelAutobuilder will automatically scale to traffic
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	AutoScale *bool `json:"autoScale,omitempty" protobuf:"varint,13,opt,name=autoScale"`
	// Indicates if feature engineering will be performed prior to the primary model search
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	FeatureEngineering *bool `json:"featureEngineering,omitempty" protobuf:"varint,14,opt,name=featureEngineering"`
	// Indicates if feature selection will be performed prior to the primary model search
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	FeatureSelection *bool `json:"featureSelection,omitempty" protobuf:"varint,15,opt,name=featureSelection"`
	// Indicates if the ModelAutobuilder will create a DataApp resource to serve the highest-performing model that was trained
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	DataApp *bool `json:"dataapp,omitempty" protobuf:"varint,16,opt,name=dataapp"`
	// DataSourceSpec specifies the full specification of the DataSource resource that will be created by the ModelAutobuilder.
	// If empty, the ModelAutobuilder will attempt to infer the schema of the data specified by the Location field
	// +kubebuilder:validation:Optional
	DataSourceSpec datav1.DataSourceSpec `json:"dataSourceSpec,omitempty" protobuf:"bytes,17,opt,name=dataSourceSpec"`
	// The desired number of trainers that will train candidate models in parallel. The number
	// of trainers is restricted based on the allowance provided by the active License
	// +kubebuilder:default:=1
	// +kubebuilder:validation:Optional
	Trainers *int32 `json:"trainers,omitempty" protobuf:"varint,18,opt,name=trainers"`
	// The hyper-parameter optimization search method
	// +kubebuilder:default:="random"
	// +kubebuilder:validation:Optional
	Sampler *SamplerName `json:"sampler,omitempty" protobuf:"bytes,19,opt,name=sampler"`
	// Aborted indicates that the execution of the ModelAutobuilder and any associated workloads should be permanently stopped
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Aborted *bool `json:"aborted,omitempty" protobuf:"varint,20,opt,name=aborted"`
	// The name of the Account which created the object, which exists in the same tenant as the object
	// +kubebuilder:validation:Pattern="[a-z0-9]([-a-z0-9]*[a-z0-9])?(\\.[a-z0-9]([-a-z0-9]*[a-z0-9])?)*"
	// +kubebuilder:default:="no-one"
	// +kubebuilder:validation:Optional
	Owner *string `json:"owner,omitempty" protobuf:"bytes,21,opt,name=owner"`
	// Resources specifies the resource requirements that will be allocated to dataset and model training Jobs
	// +kubebuilder:validation:Optional
	Resources catalog.ResourceSpec `json:"resources,omitempty" protobuf:"bytes,22,opt,name=resources"`
	// The reference to the Lab under which Entity and Study resources created by the ModelAutobuilder will be trained.
	// If unspecified, the default Lab from the parent DataProduct will be used
	// +kubebuilder:validation:Optional
	LabRef *v1.ObjectReference `json:"labRef,omitempty" protobuf:"bytes,23,opt,name=labRef"`
	// The reference to the ServingSite where the Predictor created by the ModelAutobuilder will be hosted.
	// If unspecified, the default ServingSite from the parent DataProduct will be used
	// +kubebuilder:validation:Optional
	ServingSiteRef *v1.ObjectReference `json:"servingSiteRef,omitempty" protobuf:"bytes,24,opt,name=servingSiteRef"`
	// The type of dataset which was uploaded. `tabular` is the only supported type as of the current release
	// +kubebuilder:validation:Optional
	DatasetType catalog.DatasetType `json:"datasetType,omitempty" protobuf:"bytes,25,opt,name=datasetType"`
	// Fast indicates if Entity and Study resources associated with the ModelAutobuilder should run in fast mode.
	// Running in fast mode will skip unnecessary workloads such as profiling, reporting, explaining, etc.
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Fast *bool `json:"fast,omitempty" protobuf:"varint,26,opt,name=fast"`
}

ModelAutobuilderSpec define the desired state of a ModelAutobuilder

func (*ModelAutobuilderSpec) DeepCopy 

func (in *ModelAutobuilderSpec) DeepCopy() *ModelAutobuilderSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelAutobuilderSpec.

func (*ModelAutobuilderSpec) DeepCopyInto 

func (in *ModelAutobuilderSpec) DeepCopyInto(out *ModelAutobuilderSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelAutobuilderSpec) Descriptor 

func (*ModelAutobuilderSpec) Descriptor() ([]byte, []int)

func (*ModelAutobuilderSpec) Marshal 

func (m *ModelAutobuilderSpec) Marshal() (dAtA []byte, err error)

func (*ModelAutobuilderSpec) MarshalTo 

func (m *ModelAutobuilderSpec) MarshalTo(dAtA []byte) (int, error)

func (*ModelAutobuilderSpec) MarshalToSizedBuffer 

func (m *ModelAutobuilderSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelAutobuilderSpec) ProtoMessage 

func (*ModelAutobuilderSpec) ProtoMessage()

func (*ModelAutobuilderSpec) Reset 

func (m *ModelAutobuilderSpec) Reset()

func (*ModelAutobuilderSpec) Size 

func (m *ModelAutobuilderSpec) Size() (n int)

func (*ModelAutobuilderSpec) String 

func (this *ModelAutobuilderSpec) String() string

func (*ModelAutobuilderSpec) Unmarshal 

func (m *ModelAutobuilderSpec) Unmarshal(dAtA []byte) error

func (*ModelAutobuilderSpec) XXX_DiscardUnknown 

func (m *ModelAutobuilderSpec) XXX_DiscardUnknown()

func (*ModelAutobuilderSpec) XXX_Marshal 

func (m *ModelAutobuilderSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelAutobuilderSpec) XXX_Merge 

func (m *ModelAutobuilderSpec) XXX_Merge(src proto.Message)

func (*ModelAutobuilderSpec) XXX_Size 

func (m *ModelAutobuilderSpec) XXX_Size() int

func (*ModelAutobuilderSpec) XXX_Unmarshal 

func (m *ModelAutobuilderSpec) XXX_Unmarshal(b []byte) error

type ModelAutobuilderStatus 

type ModelAutobuilderStatus struct {
	// The name of the flat-file generated for the associated Entity
	FlatFileName string `json:"flatFileName,omitempty" protobuf:"bytes,1,opt,name=flatFileName"`
	// The name of the DataSource associated with resource
	DataSourceName string `json:"dataSourceName,omitempty" protobuf:"bytes,2,opt,name=dataSourceName"`
	// The name of the Entity associated with the resource
	DatasetName string `json:"datasetName,omitempty" protobuf:"bytes,3,opt,name=datasetName"`
	// The name of the Study associated with the resource
	StudyName string `json:"studyName,omitempty" protobuf:"bytes,4,opt,name=studyName"`
	// The name of the highest-performing Model resource produced as a result of the associated Study resource
	BestModelName string `json:"bestModelName,omitempty" protobuf:"bytes,6,opt,name=bestModelName"`
	// The name of the Predictor associated with the resource
	PredictorName string `json:"predictorName,omitempty" protobuf:"bytes,7,opt,name=predictorName"`
	// The name of the DataApp associated with the resource
	DataAppName   string `json:"dataappName,omitempty" protobuf:"bytes,8,opt,name=dataappName"`
	ImageRepoName string `json:"imageRepoName,omitempty" protobuf:"bytes,9,opt,name=imageRepoName"`
	// The phase of the ModelAutobuilder
	// +kubebuilder:default:="Pending"
	// +kubebuilder:validation:Optional
	Phase ModelAutobuilderPhase `json:"phase,omitempty" protobuf:"bytes,10,opt,name=phase"`
	// The number of rows observed in the Entity associated with the resource
	// +kubebuilder:validation:Optional
	Rows int32 `json:"rows,omitempty" protobuf:"varint,11,opt,name=rows"`
	// The number of columns observed in the Entity associated with the resource
	// +kubebuilder:validation:Optional
	Cols int32 `json:"cols,omitempty" protobuf:"varint,12,opt,name=cols"`
	// The size of the raw data in the Entity associated with the resource
	// +kubebuilder:validation:Optional
	FileSize int32 `json:"fileSize,omitempty" protobuf:"varint,13,opt,name=fileSize"`
	// The number of total Model resources created by the associated Study resource
	// +kubebuilder:validation:Optional
	Models int32 `json:"models,omitempty" protobuf:"varint,14,opt,name=models"`
	// The number of successfully trained Model resources created by the associated Study resource
	// +kubebuilder:validation:Optional
	TrainedModels int32 `json:"trainedModels,omitempty" protobuf:"varint,15,opt,name=trainedModels"`
	// The highest score out of all Models created by the associated Study resource
	// +kubebuilder:validation:Optional
	BestModelScore float64 `json:"bestModelScore,omitempty" protobuf:"bytes,16,opt,name=bestModelScore"`
	// The estimator specification for the highest-performing Model resource
	Estimator *ClassicalEstimatorSpec `json:"estimator,omitempty" protobuf:"bytes,17,opt,name=estimator"`
	// StartTime represents the time at which the execution of the ModelAutobuilder started
	// +kubebuilder:validation:Optional
	StartTime *metav1.Time `json:"startTime,omitempty" protobuf:"bytes,18,opt,name=startTime"`
	// EndTime represents the time at which the ModelAutobuilder was marked as completed, failed, or aborted
	// +kubebuilder:validation:Optional
	EndTime *metav1.Time `json:"endTime,omitempty" protobuf:"bytes,19,opt,name=endTime"`
	// ObservedGeneration is the last generation that was acted on
	//+kubebuilder:validation:Optional
	ObservedGeneration int64 `json:"observedGeneration,omitempty" protobuf:"varint,21,opt,name=observedGeneration"`
	// In the case of failure, the ModelAutobuilder resource controller will set this field with a failure reason
	//+kubebuilder:validation:Optional
	FailureReason *catalog.StatusError `json:"failureReason,omitempty" protobuf:"bytes,22,opt,name=failureReason"`
	// In the case of failure, the ModelAutobuilder resource controller will set this field with a failure message
	//+kubebuilder:validation:Optional
	FailureMessage *string `json:"failureMessage,omitempty" protobuf:"bytes,23,opt,name=failureMessage"`
	// The last time the object was updated
	//+kubebuilder:validation:Optional
	LastUpdated *metav1.Time `json:"lastUpdated,omitempty" protobuf:"bytes,24,opt,name=lastUpdated"`
	// +patchMergeKey=type
	// +patchStrategy=merge
	// +kubebuilder:validation:Optional
	Conditions []ModelAutobuilderCondition `json:"conditions,omitempty" protobuf:"bytes,25,rep,name=conditions"`
}

ModelAutobuilderStatus define the observed state of a ModelAutobuilder

func (*ModelAutobuilderStatus) DeepCopy 

func (in *ModelAutobuilderStatus) DeepCopy() *ModelAutobuilderStatus

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelAutobuilderStatus.

func (*ModelAutobuilderStatus) DeepCopyInto 

func (in *ModelAutobuilderStatus) DeepCopyInto(out *ModelAutobuilderStatus)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelAutobuilderStatus) Descriptor 

func (*ModelAutobuilderStatus) Descriptor() ([]byte, []int)

func (*ModelAutobuilderStatus) Marshal 

func (m *ModelAutobuilderStatus) Marshal() (dAtA []byte, err error)

func (*ModelAutobuilderStatus) MarshalTo 

func (m *ModelAutobuilderStatus) MarshalTo(dAtA []byte) (int, error)

func (*ModelAutobuilderStatus) MarshalToSizedBuffer 

func (m *ModelAutobuilderStatus) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelAutobuilderStatus) ProtoMessage 

func (*ModelAutobuilderStatus) ProtoMessage()

func (*ModelAutobuilderStatus) Reset 

func (m *ModelAutobuilderStatus) Reset()

func (*ModelAutobuilderStatus) Size 

func (m *ModelAutobuilderStatus) Size() (n int)

func (*ModelAutobuilderStatus) String 

func (this *ModelAutobuilderStatus) String() string

func (*ModelAutobuilderStatus) Unmarshal 

func (m *ModelAutobuilderStatus) Unmarshal(dAtA []byte) error

func (*ModelAutobuilderStatus) XXX_DiscardUnknown 

func (m *ModelAutobuilderStatus) XXX_DiscardUnknown()

func (*ModelAutobuilderStatus) XXX_Marshal 

func (m *ModelAutobuilderStatus) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelAutobuilderStatus) XXX_Merge 

func (m *ModelAutobuilderStatus) XXX_Merge(src proto.Message)

func (*ModelAutobuilderStatus) XXX_Size 

func (m *ModelAutobuilderStatus) XXX_Size() int

func (*ModelAutobuilderStatus) XXX_Unmarshal 

func (m *ModelAutobuilderStatus) XXX_Unmarshal(b []byte) error

type ModelClass added in v0.5.246 

type ModelClass struct {
	metav1.TypeMeta   `json:",inline"`
	metav1.ObjectMeta `json:"metadata,omitempty" protobuf:"bytes,1,opt,name=metadata"`
	Spec              ModelClassSpec `json:"spec,omitempty" protobuf:"bytes,2,opt,name=spec"`
	//+optional
	Status ModelClassStatus `json:"status,omitempty" protobuf:"bytes,3,opt,name=status"`
}

ModelClass represents an automatic search for the best machine learning model for a given dataset +kubebuilder:subresource:status +kubebuilder:object:root=true +kubebuilder:storageversion +kubebuilder:printcolumn:name="Owner",type="string",JSONPath=".spec.owner",priority=1 +kubebuilder:printcolumn:name="Version",type="string",JSONPath=".spec.versionName",priority=1 +kubebuilder:printcolumn:name="Age",type="date",JSONPath=".metadata.creationTimestamp" +kubebuilder:resource:path=modelclasses,singular=modelclass,shortName=mc,categories={training,modela}

func ParseModelClassYaml added in v0.5.251 

func ParseModelClassYaml(content []byte) (*ModelClass, error)

func (*ModelClass) AddFinalizer added in v0.5.251 

func (mclass *ModelClass) AddFinalizer()

func (ModelClass) Age added in v0.5.251 

func (mclass ModelClass) Age() string

func (*ModelClass) CompletionAlert added in v0.5.322 

func (mclass *ModelClass) CompletionAlert(tenantRef *v1.ObjectReference, notifierName *string) *infra.Alert

func (*ModelClass) CreateOrUpdateCond added in v0.5.251 

func (mclass *ModelClass) CreateOrUpdateCond(cond ModelClassCondition)

Merge or update condition

func (*ModelClass) DeepCopy added in v0.5.249 

func (in *ModelClass) DeepCopy() *ModelClass

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelClass.

func (*ModelClass) DeepCopyInto added in v0.5.249 

func (in *ModelClass) DeepCopyInto(out *ModelClass)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelClass) DeepCopyObject added in v0.5.249 

func (in *ModelClass) DeepCopyObject() runtime.Object

DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object.

func (*ModelClass) Default added in v0.5.246 

func (mclass *ModelClass) Default()

func (*ModelClass) DefaultBaselineEstimator added in v0.5.246 

func (mclass *ModelClass) DefaultBaselineEstimator(task catalog.MLTask) catalog.ClassicEstimatorName

func (*ModelClass) DefaultFESearchEstimator added in v0.5.246 

func (mclass *ModelClass) DefaultFESearchEstimator(task catalog.MLTask) catalog.ClassicEstimatorName

func (*ModelClass) Descriptor added in v0.5.246 

func (*ModelClass) Descriptor() ([]byte, []int)

func (*ModelClass) ErrorAlert added in v0.5.322 

func (mclass *ModelClass) ErrorAlert(tenantRef *v1.ObjectReference, notifierName *string, err error) *infra.Alert

func (ModelClass) GetCond added in v0.5.251 

func (mclass ModelClass) GetCond(t ModelClassConditionType) ModelClassCondition

func (ModelClass) GetCondIdx added in v0.5.251 

func (mclass ModelClass) GetCondIdx(t ModelClassConditionType) int

func (ModelClass) HasFinalizer added in v0.5.251 

func (mclass ModelClass) HasFinalizer() bool

func (ModelClass) IsFailed added in v0.5.251 

func (mclass ModelClass) IsFailed() bool

func (ModelClass) IsMarkedForDeletion added in v0.5.251 

func (mclass ModelClass) IsMarkedForDeletion() bool

func (ModelClass) IsReady added in v0.5.251 

func (mclass ModelClass) IsReady() bool

func (*ModelClass) IsTrainingSetCreated added in v0.5.328 

func (mclass *ModelClass) IsTrainingSetCreated() bool

func (ModelClass) JobName added in v0.5.251 

func (mclass ModelClass) JobName() string

func (ModelClass) Key added in v0.5.251 

func (mclass ModelClass) Key() string

func (*ModelClass) MarkArchived added in v0.5.251 

func (mclass *ModelClass) MarkArchived()

func (*ModelClass) MarkCreatedTrainingSet added in v0.5.310 

func (mclass *ModelClass) MarkCreatedTrainingSet()

func (*ModelClass) MarkCreatingTrainingSet added in v0.5.310 

func (mclass *ModelClass) MarkCreatingTrainingSet()

func (*ModelClass) MarkCreatingTrainingSetFailed added in v0.5.310 

func (mclass *ModelClass) MarkCreatingTrainingSetFailed(err string)

func (*ModelClass) MarkDeployed added in v0.5.304 

func (mclass *ModelClass) MarkDeployed()

func (*ModelClass) MarkDeploying added in v0.5.304 

func (mclass *ModelClass) MarkDeploying()

///////////////////////////////////////////// Deploying ////////////////////////////////////////////

func (*ModelClass) MarkDeploymentFailed added in v0.5.310 

func (mclass *ModelClass) MarkDeploymentFailed(err string)

func (*ModelClass) MarkDrifted added in v0.5.304 

func (mclass *ModelClass) MarkDrifted()

///////////////////////////////////////////// Drifted ////////////////////////////////////////////

func (*ModelClass) MarkTrained added in v0.5.304 

func (mclass *ModelClass) MarkTrained()

func (*ModelClass) MarkTraining added in v0.5.304 

func (mclass *ModelClass) MarkTraining()

///////////////////////////////////////////// Training ////////////////////////////////////////////

func (*ModelClass) MarkTrainingFailed added in v0.5.310 

func (mclass *ModelClass) MarkTrainingFailed(err string)

func (*ModelClass) Marshal added in v0.5.246 

func (m *ModelClass) Marshal() (dAtA []byte, err error)

func (*ModelClass) MarshalTo added in v0.5.246 

func (m *ModelClass) MarshalTo(dAtA []byte) (int, error)

func (*ModelClass) MarshalToSizedBuffer added in v0.5.246 

func (m *ModelClass) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelClass) ProtoMessage added in v0.5.246 

func (*ModelClass) ProtoMessage()

func (*ModelClass) RemoveFinalizer added in v0.5.251 

func (mclass *ModelClass) RemoveFinalizer()

func (*ModelClass) Reset added in v0.5.246 

func (m *ModelClass) Reset()

func (*ModelClass) SetupWebhookWithManager added in v0.5.259 

func (mclass *ModelClass) SetupWebhookWithManager(mgr ctrl.Manager) error

Set up the webhook with the manager.

func (*ModelClass) Size added in v0.5.246 

func (m *ModelClass) Size() (n int)

func (*ModelClass) String added in v0.5.246 

func (this *ModelClass) String() string

func (*ModelClass) StudyName added in v0.5.328 

func (mclass *ModelClass) StudyName() string

func (*ModelClass) Unmarshal added in v0.5.246 

func (m *ModelClass) Unmarshal(dAtA []byte) error

func (ModelClass) ValidateCreate added in v0.5.246 

func (mclass ModelClass) ValidateCreate() error

ValidateCreate implements webhook.Validator so a webhook will be registered for the type

func (ModelClass) ValidateDelete added in v0.5.246 

func (mclass ModelClass) ValidateDelete() error

func (ModelClass) ValidateUpdate added in v0.5.246 

func (mclass ModelClass) ValidateUpdate(old runtime.Object) error

ValidateUpdate implements webhook.Validator so a webhook will be registered for the type

func (*ModelClass) XXX_DiscardUnknown added in v0.5.246 

func (m *ModelClass) XXX_DiscardUnknown()

func (*ModelClass) XXX_Marshal added in v0.5.246 

func (m *ModelClass) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelClass) XXX_Merge added in v0.5.246 

func (m *ModelClass) XXX_Merge(src proto.Message)

func (*ModelClass) XXX_Size added in v0.5.246 

func (m *ModelClass) XXX_Size() int

func (*ModelClass) XXX_Unmarshal added in v0.5.246 

func (m *ModelClass) XXX_Unmarshal(b []byte) error

type ModelClassBatchPredictionSpec added in v0.5.341 

type ModelClassBatchPredictionSpec struct {
	// BatchPrediction schedule
	// +kubebuilder:validation:Optional
	Schedule catalog.RunSchedule `json:"schedule,omitempty" protobuf:"bytes,8,opt,name=schedule"`
	// The source location for data to predict
	Location data.DataLocation `json:"location,omitempty" protobuf:"bytes,10,opt,name=location"`
}

func (*ModelClassBatchPredictionSpec) DeepCopy added in v0.5.341 

func (in *ModelClassBatchPredictionSpec) DeepCopy() *ModelClassBatchPredictionSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelClassBatchPredictionSpec.

func (*ModelClassBatchPredictionSpec) DeepCopyInto added in v0.5.341 

func (in *ModelClassBatchPredictionSpec) DeepCopyInto(out *ModelClassBatchPredictionSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelClassBatchPredictionSpec) Descriptor added in v0.5.341 

func (*ModelClassBatchPredictionSpec) Descriptor() ([]byte, []int)

func (*ModelClassBatchPredictionSpec) Marshal added in v0.5.341 

func (m *ModelClassBatchPredictionSpec) Marshal() (dAtA []byte, err error)

func (*ModelClassBatchPredictionSpec) MarshalTo added in v0.5.341 

func (m *ModelClassBatchPredictionSpec) MarshalTo(dAtA []byte) (int, error)

func (*ModelClassBatchPredictionSpec) MarshalToSizedBuffer added in v0.5.341 

func (m *ModelClassBatchPredictionSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelClassBatchPredictionSpec) ProtoMessage added in v0.5.341 

func (*ModelClassBatchPredictionSpec) ProtoMessage()

func (*ModelClassBatchPredictionSpec) Reset added in v0.5.341 

func (m *ModelClassBatchPredictionSpec) Reset()

func (*ModelClassBatchPredictionSpec) Size added in v0.5.341 

func (m *ModelClassBatchPredictionSpec) Size() (n int)

func (*ModelClassBatchPredictionSpec) String added in v0.5.341 

func (this *ModelClassBatchPredictionSpec) String() string

func (*ModelClassBatchPredictionSpec) Unmarshal added in v0.5.341 

func (m *ModelClassBatchPredictionSpec) Unmarshal(dAtA []byte) error

func (*ModelClassBatchPredictionSpec) XXX_DiscardUnknown added in v0.5.341 

func (m *ModelClassBatchPredictionSpec) XXX_DiscardUnknown()

func (*ModelClassBatchPredictionSpec) XXX_Marshal added in v0.5.341 

func (m *ModelClassBatchPredictionSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelClassBatchPredictionSpec) XXX_Merge added in v0.5.341 

func (m *ModelClassBatchPredictionSpec) XXX_Merge(src proto.Message)

func (*ModelClassBatchPredictionSpec) XXX_Size added in v0.5.341 

func (m *ModelClassBatchPredictionSpec) XXX_Size() int

func (*ModelClassBatchPredictionSpec) XXX_Unmarshal added in v0.5.341 

func (m *ModelClassBatchPredictionSpec) XXX_Unmarshal(b []byte) error

type ModelClassCondition added in v0.5.246 

type ModelClassCondition struct {
	// Type of ModelClass condition
	// +kubebuilder:validation:Optional
	Type ModelClassConditionType `json:"type" protobuf:"bytes,1,opt,name=type,casttype=ModelClassConditionType"`
	// Status of the condition, one of True, False, Unknown
	// +kubebuilder:validation:Optional
	Status v1.ConditionStatus `json:"status" protobuf:"bytes,2,opt,name=status,casttype=k8s.io/api/core/v1.ConditionStatus"`
	// Last time the condition transitioned from one status to another
	// +kubebuilder:validation:Optional
	LastTransitionTime *metav1.Time `json:"lastTransitionTime,omitempty" protobuf:"bytes,4,opt,name=lastTransitionTime"`
	// The reason for the condition's last transition
	// +kubebuilder:validation:Optional
	Reason string `json:"reason,omitempty" protobuf:"bytes,5,opt,name=reason"`
	// A human-readable message indicating details about the transition
	// +kubebuilder:validation:Optional
	Message string `json:"message,omitempty" protobuf:"bytes,6,opt,name=message"`
}

ModelClassCondition describes the state of a ModelClass at a certain point

func (*ModelClassCondition) DeepCopy added in v0.5.249 

func (in *ModelClassCondition) DeepCopy() *ModelClassCondition

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelClassCondition.

func (*ModelClassCondition) DeepCopyInto added in v0.5.249 

func (in *ModelClassCondition) DeepCopyInto(out *ModelClassCondition)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelClassCondition) Descriptor added in v0.5.246 

func (*ModelClassCondition) Descriptor() ([]byte, []int)

func (*ModelClassCondition) Marshal added in v0.5.246 

func (m *ModelClassCondition) Marshal() (dAtA []byte, err error)

func (*ModelClassCondition) MarshalTo added in v0.5.246 

func (m *ModelClassCondition) MarshalTo(dAtA []byte) (int, error)

func (*ModelClassCondition) MarshalToSizedBuffer added in v0.5.246 

func (m *ModelClassCondition) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelClassCondition) ProtoMessage added in v0.5.246 

func (*ModelClassCondition) ProtoMessage()

func (*ModelClassCondition) Reset added in v0.5.246 

func (m *ModelClassCondition) Reset()

func (*ModelClassCondition) Size added in v0.5.246 

func (m *ModelClassCondition) Size() (n int)

func (*ModelClassCondition) String added in v0.5.246 

func (this *ModelClassCondition) String() string

func (*ModelClassCondition) Unmarshal added in v0.5.246 

func (m *ModelClassCondition) Unmarshal(dAtA []byte) error

func (*ModelClassCondition) XXX_DiscardUnknown added in v0.5.246 

func (m *ModelClassCondition) XXX_DiscardUnknown()

func (*ModelClassCondition) XXX_Marshal added in v0.5.246 

func (m *ModelClassCondition) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelClassCondition) XXX_Merge added in v0.5.246 

func (m *ModelClassCondition) XXX_Merge(src proto.Message)

func (*ModelClassCondition) XXX_Size added in v0.5.246 

func (m *ModelClassCondition) XXX_Size() int

func (*ModelClassCondition) XXX_Unmarshal added in v0.5.246 

func (m *ModelClassCondition) XXX_Unmarshal(b []byte) error

type ModelClassConditionType added in v0.5.246 

type ModelClassConditionType string

ModelClassConditionType is the condition of a ModelClass 

const (
	// ModelClassInitialized states that the resources needed for training are allocated and ready
	ModelClassReady ModelClassConditionType = "Ready"
	// ModelClassSaved states that the ModelClass has been archived in a database
	ModelClassSaved ModelClassConditionType = "Saved"
	// State that we have created the training set
	ModelClassCreatedTrainingSet ModelClassConditionType = "CreatedTrainingSet"
	// ModelClassTrained states that the current model from the ModelClass has been trained
	ModelClassTrained ModelClassConditionType = "Trained"
	// ModelClassDeployed states that the latest model
	ModelClassDeployed ModelClassConditionType = "Deployed"
	// ModelClassDeployed states that the latest model
	ModelClassDrifted ModelClassConditionType = "Drifted"
)

/ ModelClass Condition

type ModelClassDataSpec added in v0.5.261 

type ModelClassDataSpec struct {
	// If using the feature store (pre defined features), specify the feature groups the would
	// be used to create the training data.
	// +kubebuilder:validation:Optional
	Entities []EntityRef `json:"entities,omitempty" protobuf:"bytes,1,opt,name=entities"`
	// The data location where ModelClass artifacts (metadata, reports, and model artifacts) generated by the ModelClass will be stored
	// +kubebuilder:validation:Optional
	ArtifactLocation data.DataLocation `json:"artifactLocation,omitempty" protobuf:"bytes,2,opt,name=artifactLocation"`
}

func (*ModelClassDataSpec) DeepCopy added in v0.5.264 

func (in *ModelClassDataSpec) DeepCopy() *ModelClassDataSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelClassDataSpec.

func (*ModelClassDataSpec) DeepCopyInto added in v0.5.264 

func (in *ModelClassDataSpec) DeepCopyInto(out *ModelClassDataSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelClassDataSpec) Descriptor added in v0.5.261 

func (*ModelClassDataSpec) Descriptor() ([]byte, []int)

func (*ModelClassDataSpec) Marshal added in v0.5.261 

func (m *ModelClassDataSpec) Marshal() (dAtA []byte, err error)

func (*ModelClassDataSpec) MarshalTo added in v0.5.261 

func (m *ModelClassDataSpec) MarshalTo(dAtA []byte) (int, error)

func (*ModelClassDataSpec) MarshalToSizedBuffer added in v0.5.261 

func (m *ModelClassDataSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelClassDataSpec) ProtoMessage added in v0.5.261 

func (*ModelClassDataSpec) ProtoMessage()

func (*ModelClassDataSpec) Reset added in v0.5.261 

func (m *ModelClassDataSpec) Reset()

func (*ModelClassDataSpec) Size added in v0.5.261 

func (m *ModelClassDataSpec) Size() (n int)

func (*ModelClassDataSpec) String added in v0.5.261 

func (this *ModelClassDataSpec) String() string

func (*ModelClassDataSpec) Unmarshal added in v0.5.261 

func (m *ModelClassDataSpec) Unmarshal(dAtA []byte) error

func (*ModelClassDataSpec) XXX_DiscardUnknown added in v0.5.261 

func (m *ModelClassDataSpec) XXX_DiscardUnknown()

func (*ModelClassDataSpec) XXX_Marshal added in v0.5.261 

func (m *ModelClassDataSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelClassDataSpec) XXX_Merge added in v0.5.261 

func (m *ModelClassDataSpec) XXX_Merge(src proto.Message)

func (*ModelClassDataSpec) XXX_Size added in v0.5.261 

func (m *ModelClassDataSpec) XXX_Size() int

func (*ModelClassDataSpec) XXX_Unmarshal added in v0.5.261 

func (m *ModelClassDataSpec) XXX_Unmarshal(b []byte) error

type ModelClassList added in v0.5.246 

type ModelClassList struct {
	metav1.TypeMeta `json:",inline"`
	metav1.ListMeta `json:"metadata,omitempty" protobuf:"bytes,1,opt,name=metadata"`

	Items []ModelClass `json:"items" protobuf:"bytes,2,rep,name=items"`
}

ModelClassList contains a list of Studies +kubebuilder:object:root= true

func (*ModelClassList) DeepCopy added in v0.5.249 

func (in *ModelClassList) DeepCopy() *ModelClassList

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelClassList.

func (*ModelClassList) DeepCopyInto added in v0.5.249 

func (in *ModelClassList) DeepCopyInto(out *ModelClassList)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelClassList) DeepCopyObject added in v0.5.249 

func (in *ModelClassList) DeepCopyObject() runtime.Object

DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object.

func (*ModelClassList) Descriptor added in v0.5.246 

func (*ModelClassList) Descriptor() ([]byte, []int)

func (*ModelClassList) Marshal added in v0.5.246 

func (m *ModelClassList) Marshal() (dAtA []byte, err error)

func (*ModelClassList) MarshalTo added in v0.5.246 

func (m *ModelClassList) MarshalTo(dAtA []byte) (int, error)

func (*ModelClassList) MarshalToSizedBuffer added in v0.5.246 

func (m *ModelClassList) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelClassList) ProtoMessage added in v0.5.246 

func (*ModelClassList) ProtoMessage()

func (*ModelClassList) Reset added in v0.5.246 

func (m *ModelClassList) Reset()

func (*ModelClassList) Size added in v0.5.246 

func (m *ModelClassList) Size() (n int)

func (*ModelClassList) String added in v0.5.246 

func (this *ModelClassList) String() string

func (*ModelClassList) Unmarshal added in v0.5.246 

func (m *ModelClassList) Unmarshal(dAtA []byte) error

func (*ModelClassList) XXX_DiscardUnknown added in v0.5.246 

func (m *ModelClassList) XXX_DiscardUnknown()

func (*ModelClassList) XXX_Marshal added in v0.5.246 

func (m *ModelClassList) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelClassList) XXX_Merge added in v0.5.246 

func (m *ModelClassList) XXX_Merge(src proto.Message)

func (*ModelClassList) XXX_Size added in v0.5.246 

func (m *ModelClassList) XXX_Size() int

func (*ModelClassList) XXX_Unmarshal added in v0.5.246 

func (m *ModelClassList) XXX_Unmarshal(b []byte) error

type ModelClassPhase added in v0.5.246 

type ModelClassPhase string

ModelPhase specifies the current phase of a Model 

const (
	ModelClassPhaseFailed                         ModelClassPhase = "Failed"
	ModelClassPhasePending                        ModelClassPhase = "Pending"
	ModelClassPhasePreparingTrainingDataset       ModelClassPhase = "PreparingTrainingDataset"
	ModelClassPhasePreparingTrainingDatasetFailed ModelClassPhase = "FailedToPrepareTrainingDataset"
	ModelClassPhaseTraining                       ModelClassPhase = "Training"
	ModelClassPhaseTrainingFailed                 ModelClassPhase = "FailedToTraining"
	ModelClassPhaseTrained                        ModelClassPhase = "Trained"
	ModelClassPhaseDeploying                      ModelClassPhase = "Deploying"
	ModelClassPhaseFailedToDeploy                 ModelClassPhase = "FailedToDeploy"
	ModelClassPhaseDeployed                       ModelClassPhase = "Deployed"
	ModelClassPhaseDrifted                        ModelClassPhase = "Drifted"
)

type ModelClassServingSpec added in v0.5.261 

type ModelClassServingSpec struct {
	// Define the stages to test the model before release
	// +kubebuilder:validation:Optional
	Pipeline []ModelClassStageSpec `json:"pipeline,omitempty" protobuf:"bytes,1,opt,name=pipeline"`
	// The name of the predictor template
	// +kubebuilder:validation:Optional
	PredictorTemplateName *string `json:"predictorTemplateName,omitempty" protobuf:"bytes,2,opt,name=predictorTemplateName"`
	// The reference to the serving site, where online predictor will be served.
	// If unspecified, the default Lab from the parent DataProduct will be used
	// +kubebuilder:validation:Optional
	ServingSiteRef v1.ObjectReference `json:"servingSiteRef,omitempty" protobuf:"bytes,3,opt,name=servingSiteRef"`
	// Create an online predictor, if the model is used only for batch prediction, set this option to false.
	// +kubebuilder:validation:Optional
	Online *bool `json:"online,omitempty" protobuf:"varint,4,opt,name=online"`
	// Setup a dashboard for the predictor.
	// +kubebuilder:validation:Optional
	Dashboard *bool `json:"dashboard,omitempty" protobuf:"varint,5,opt,name=dashboard"`
	// Access specifies the configuration for the Predictor service to be exposed externally
	// +kubebuilder:validation:Optional
	Access catalog.AccessSpec `json:"access,omitempty" protobuf:"bytes,6,opt,name=access"`
	// The number of replicas for the Kubernetes Serving associated with the Predictor, which will instantiate multiple
	// copies of the service in the case that automatic scaling is disabled
	// +kubebuilder:validation:Optional
	Replicas *int32 `json:"replicas,omitempty" protobuf:"varint,7,opt,name=replicas"`
	// Schedule for computing drift
	// +kubebuilder:validation:Optional
	MonitoringSchedule catalog.RunSchedule `json:"monitoringSchedule,omitempty" protobuf:"bytes,9,opt,name=monitoringSchedule"`
}

func (*ModelClassServingSpec) DeepCopy added in v0.5.264 

func (in *ModelClassServingSpec) DeepCopy() *ModelClassServingSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelClassServingSpec.

func (*ModelClassServingSpec) DeepCopyInto added in v0.5.264 

func (in *ModelClassServingSpec) DeepCopyInto(out *ModelClassServingSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelClassServingSpec) Descriptor added in v0.5.261 

func (*ModelClassServingSpec) Descriptor() ([]byte, []int)

func (*ModelClassServingSpec) Marshal added in v0.5.261 

func (m *ModelClassServingSpec) Marshal() (dAtA []byte, err error)

func (*ModelClassServingSpec) MarshalTo added in v0.5.261 

func (m *ModelClassServingSpec) MarshalTo(dAtA []byte) (int, error)

func (*ModelClassServingSpec) MarshalToSizedBuffer added in v0.5.261 

func (m *ModelClassServingSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelClassServingSpec) ProtoMessage added in v0.5.261 

func (*ModelClassServingSpec) ProtoMessage()

func (*ModelClassServingSpec) Reset added in v0.5.261 

func (m *ModelClassServingSpec) Reset()

func (*ModelClassServingSpec) Size added in v0.5.261 

func (m *ModelClassServingSpec) Size() (n int)

func (*ModelClassServingSpec) String added in v0.5.261 

func (this *ModelClassServingSpec) String() string

func (*ModelClassServingSpec) Unmarshal added in v0.5.261 

func (m *ModelClassServingSpec) Unmarshal(dAtA []byte) error

func (*ModelClassServingSpec) XXX_DiscardUnknown added in v0.5.261 

func (m *ModelClassServingSpec) XXX_DiscardUnknown()

func (*ModelClassServingSpec) XXX_Marshal added in v0.5.261 

func (m *ModelClassServingSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelClassServingSpec) XXX_Merge added in v0.5.261 

func (m *ModelClassServingSpec) XXX_Merge(src proto.Message)

func (*ModelClassServingSpec) XXX_Size added in v0.5.261 

func (m *ModelClassServingSpec) XXX_Size() int

func (*ModelClassServingSpec) XXX_Unmarshal added in v0.5.261 

func (m *ModelClassServingSpec) XXX_Unmarshal(b []byte) error

type ModelClassSpec added in v0.5.246 

type ModelClassSpec struct {
	// The name of the Account which created the object, which exists in the same tenant as the object
	// +kubebuilder:default:="no-one"
	// +kubebuilder:validation:Optional
	Owner *string `json:"owner,omitempty" protobuf:"bytes,1,opt,name=owner"`
	// The name of the DataProductVersion which describes the version of the resource
	// that exists in the same DataProduct namespace as the resource
	// +kubebuilder:validation:MaxLength=63
	// +kubebuilder:default:=""
	// +kubebuilder:validation:Optional
	VersionName *string `json:"versionName" protobuf:"bytes,2,opt,name=versionName"`
	// The user-provided description of the ModelClass
	// +kubebuilder:default:=""
	// +kubebuilder:validation:MaxLength=512
	// +kubebuilder:validation:Optional
	Description *string `json:"description,omitempty" protobuf:"bytes,3,opt,name=description"`
	// The machine learning task type (i.e. regression, classification)
	// +kubebuilder:validation:Required
	// +required
	Task *catalog.MLTask `json:"task" protobuf:"bytes,4,opt,name=task"`
	// The machine learning subtask relevant to the primary task (text classification, image object detection, etc.)
	// +kubebuilder:default:=none
	// +kubebuilder:validation:Optional
	SubTask *catalog.MLSubtask `json:"subtask" protobuf:"bytes,5,opt,name=subtask"`
	// Description of the labels file for this model class.
	// The labels file is used to build the complete training data.
	// +kubebuilder:validation:Optional
	Labels LabelsDataSpec `json:"labels,omitempty" protobuf:"bytes,6,opt,name=labels"`
	// The modelclass data spec.
	Data ModelClassDataSpec `json:"data" protobuf:"bytes,7,opt,name=data"`
	// TrainingTemplate specifies the configuration to train and evaluate models
	// +kubebuilder:validation:Optional
	Training ModelClassTrainingSpec `json:"training,omitempty" protobuf:"bytes,8,opt,name=training"`
	// ServingTemplate specifies the model format and resource requirements that will be applied to
	// the Predictor created for the Model that will be selected by the ModelClass
	// +kubebuilder:validation:Optional
	Serving ModelClassServingSpec `json:"serving,omitempty" protobuf:"bytes,9,opt,name=serving"`
	// Specify when and from where to perform batch prediction
	// +kubebuilder:validation:Optional
	BatchPrediction ModelClassBatchPredictionSpec `json:"batchPrediction,omitempty" protobuf:"bytes,10,opt,name=batchPrediction"`
	// The notification specification that determines which notifiers will receive Alerts generated by the object
	//+kubebuilder:validation:Optional
	Notification catalog.NotificationSpec `json:"notification,omitempty" protobuf:"bytes,11,opt,name=notification"`
	// The schedule for summary report
	// +kubebuilder:validation:Optional
	ReportSchedule catalog.RunSchedule `json:"reportSchedule,omitempty" protobuf:"bytes,12,opt,name=reportSchedule"`
}

ModelClassSpec defines the desired state of a ModelClass and the parameters for a model search

func (*ModelClassSpec) DeepCopy added in v0.5.249 

func (in *ModelClassSpec) DeepCopy() *ModelClassSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelClassSpec.

func (*ModelClassSpec) DeepCopyInto added in v0.5.249 

func (in *ModelClassSpec) DeepCopyInto(out *ModelClassSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelClassSpec) Descriptor added in v0.5.246 

func (*ModelClassSpec) Descriptor() ([]byte, []int)

func (*ModelClassSpec) Marshal added in v0.5.246 

func (m *ModelClassSpec) Marshal() (dAtA []byte, err error)

func (*ModelClassSpec) MarshalTo added in v0.5.246 

func (m *ModelClassSpec) MarshalTo(dAtA []byte) (int, error)

func (*ModelClassSpec) MarshalToSizedBuffer added in v0.5.246 

func (m *ModelClassSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelClassSpec) ProtoMessage added in v0.5.246 

func (*ModelClassSpec) ProtoMessage()

func (*ModelClassSpec) Reset added in v0.5.246 

func (m *ModelClassSpec) Reset()

func (*ModelClassSpec) Size added in v0.5.246 

func (m *ModelClassSpec) Size() (n int)

func (*ModelClassSpec) String added in v0.5.246 

func (this *ModelClassSpec) String() string

func (*ModelClassSpec) Unmarshal added in v0.5.246 

func (m *ModelClassSpec) Unmarshal(dAtA []byte) error

func (*ModelClassSpec) XXX_DiscardUnknown added in v0.5.246 

func (m *ModelClassSpec) XXX_DiscardUnknown()

func (*ModelClassSpec) XXX_Marshal added in v0.5.246 

func (m *ModelClassSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelClassSpec) XXX_Merge added in v0.5.246 

func (m *ModelClassSpec) XXX_Merge(src proto.Message)

func (*ModelClassSpec) XXX_Size added in v0.5.246 

func (m *ModelClassSpec) XXX_Size() int

func (*ModelClassSpec) XXX_Unmarshal added in v0.5.246 

func (m *ModelClassSpec) XXX_Unmarshal(b []byte) error

type ModelClassStageSpec added in v0.5.272 

type ModelClassStageSpec struct {
	// The stage name
	Name string `json:"name,omitempty" protobuf:"bytes,1,opt,name=name"`
	// the Tests to run on the stage
	// +kubebuilder:validation:Optional
	Tests catalog.TestSuite `json:"tests,omitempty" protobuf:"bytes,2,opt,name=tests"`
	// The lab to install and run the test suite
	// +kubebuilder:validation:Optional
	ServingSiteRef *v1.ObjectReference `json:"servingSiteRef,omitempty" protobuf:"bytes,3,opt,name=servingSiteRef"`
	// The resources to use when running tests at this stage
	// +kubebuilder:validation:Optional
	Resources *catalog.ResourceSpec `json:"resources,omitempty" protobuf:"bytes,4,opt,name=resources"`
}

Define a test stage

func (*ModelClassStageSpec) DeepCopy added in v0.5.273 

func (in *ModelClassStageSpec) DeepCopy() *ModelClassStageSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelClassStageSpec.

func (*ModelClassStageSpec) DeepCopyInto added in v0.5.273 

func (in *ModelClassStageSpec) DeepCopyInto(out *ModelClassStageSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelClassStageSpec) Descriptor added in v0.5.272 

func (*ModelClassStageSpec) Descriptor() ([]byte, []int)

func (*ModelClassStageSpec) Marshal added in v0.5.272 

func (m *ModelClassStageSpec) Marshal() (dAtA []byte, err error)

func (*ModelClassStageSpec) MarshalTo added in v0.5.272 

func (m *ModelClassStageSpec) MarshalTo(dAtA []byte) (int, error)

func (*ModelClassStageSpec) MarshalToSizedBuffer added in v0.5.272 

func (m *ModelClassStageSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelClassStageSpec) ProtoMessage added in v0.5.272 

func (*ModelClassStageSpec) ProtoMessage()

func (*ModelClassStageSpec) Reset added in v0.5.272 

func (m *ModelClassStageSpec) Reset()

func (*ModelClassStageSpec) Size added in v0.5.272 

func (m *ModelClassStageSpec) Size() (n int)

func (*ModelClassStageSpec) String added in v0.5.272 

func (this *ModelClassStageSpec) String() string

func (*ModelClassStageSpec) Unmarshal added in v0.5.272 

func (m *ModelClassStageSpec) Unmarshal(dAtA []byte) error

func (*ModelClassStageSpec) XXX_DiscardUnknown added in v0.5.272 

func (m *ModelClassStageSpec) XXX_DiscardUnknown()

func (*ModelClassStageSpec) XXX_Marshal added in v0.5.272 

func (m *ModelClassStageSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelClassStageSpec) XXX_Merge added in v0.5.272 

func (m *ModelClassStageSpec) XXX_Merge(src proto.Message)

func (*ModelClassStageSpec) XXX_Size added in v0.5.272 

func (m *ModelClassStageSpec) XXX_Size() int

func (*ModelClassStageSpec) XXX_Unmarshal added in v0.5.272 

func (m *ModelClassStageSpec) XXX_Unmarshal(b []byte) error

type ModelClassStatus added in v0.5.246 

type ModelClassStatus struct {
	Phase ModelClassPhase `json:"phase,omitempty" protobuf:"varint,1,opt,name=phase"`
	// Total models created for the ModelClass
	// +kubebuilder:validation:Optional
	Models int32 `json:"models,omitempty" protobuf:"varint,2,opt,name=models"`
	// ObservedGeneration is the last generation that was acted on
	//+kubebuilder:validation:Optional
	ObservedGeneration int64 `json:"observedGeneration,omitempty" protobuf:"varint,3,opt,name=observedGeneration"`
	// The last time the object was updated
	//+kubebuilder:validation:Optional
	LastUpdated *metav1.Time `json:"lastUpdated,omitempty" protobuf:"bytes,4,opt,name=lastUpdated"`
	// BestFE specifies the best feature engineering pipeline produced by the ModelClass
	//+kubebuilder:validation:Optional
	BestFE *FeatureEngineeringSpec `json:"bestFE,omitempty" protobuf:"bytes,5,opt,name=bestFE"`
	// Store the location of the last training set
	//+kubebuilder:validation:Optional
	LastTrainingSet data.DataLocation `json:"lastOnlineTrainingSet,omitempty" protobuf:"bytes,6,opt,name=lastOnlineTrainingSet"`
	// Training schedule status
	//+kubebuilder:validation:Optional
	TrainingStatus catalog.RunScheduleStatus `json:"trainingStatus,omitempty" protobuf:"bytes,7,opt,name=trainingStatus"`
	// Training schedule status
	//+kubebuilder:validation:Optional
	PromotionStatus PromotionStatus `json:"promotionStatus,omitempty" protobuf:"bytes,8,opt,name=promotionStatus"`
	// The lastest study name
	//+kubebuilder:validation:Optional
	LastestStudy string `json:"latestStudy,omitempty" protobuf:"bytes,9,opt,name=latestStudy"`
	// The latest best model
	//+kubebuilder:validation:Optional
	LastestModel string `json:"latestModel,omitempty" protobuf:"bytes,10,opt,name=latestModel"`
	// +optional
	// +patchMergeKey=type
	// +patchStrategy=merge
	Conditions []ModelClassCondition `json:"conditions,omitempty" patchStrategy:"merge" patchMergeKey:"type" protobuf:"bytes,11,rep,name=conditions"`
}

func (*ModelClassStatus) DeepCopy added in v0.5.249 

func (in *ModelClassStatus) DeepCopy() *ModelClassStatus

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelClassStatus.

func (*ModelClassStatus) DeepCopyInto added in v0.5.249 

func (in *ModelClassStatus) DeepCopyInto(out *ModelClassStatus)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelClassStatus) Descriptor added in v0.5.246 

func (*ModelClassStatus) Descriptor() ([]byte, []int)

func (*ModelClassStatus) Marshal added in v0.5.246 

func (m *ModelClassStatus) Marshal() (dAtA []byte, err error)

func (*ModelClassStatus) MarshalTo added in v0.5.246 

func (m *ModelClassStatus) MarshalTo(dAtA []byte) (int, error)

func (*ModelClassStatus) MarshalToSizedBuffer added in v0.5.246 

func (m *ModelClassStatus) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelClassStatus) ProtoMessage added in v0.5.246 

func (*ModelClassStatus) ProtoMessage()

func (*ModelClassStatus) Reset added in v0.5.246 

func (m *ModelClassStatus) Reset()

func (*ModelClassStatus) Size added in v0.5.246 

func (m *ModelClassStatus) Size() (n int)

func (*ModelClassStatus) String added in v0.5.246 

func (this *ModelClassStatus) String() string

func (*ModelClassStatus) Unmarshal added in v0.5.246 

func (m *ModelClassStatus) Unmarshal(dAtA []byte) error

func (*ModelClassStatus) XXX_DiscardUnknown added in v0.5.246 

func (m *ModelClassStatus) XXX_DiscardUnknown()

func (*ModelClassStatus) XXX_Marshal added in v0.5.246 

func (m *ModelClassStatus) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelClassStatus) XXX_Merge added in v0.5.246 

func (m *ModelClassStatus) XXX_Merge(src proto.Message)

func (*ModelClassStatus) XXX_Size added in v0.5.246 

func (m *ModelClassStatus) XXX_Size() int

func (*ModelClassStatus) XXX_Unmarshal added in v0.5.246 

func (m *ModelClassStatus) XXX_Unmarshal(b []byte) error

type ModelClassTrainingSpec added in v0.5.261 

type ModelClassTrainingSpec struct {
	// The reference to the Lab under which the Model for the class will be trained
	// If unspecified, the default Lab from the parent DataProduct will be used
	// +kubebuilder:validation:Optional
	LabRef v1.ObjectReference `json:"labRef,omitempty" protobuf:"bytes,1,opt,name=labRef"`
	// Define a reference to a study template. The study template will be the basis for training models
	// From this model class.
	// +kubebuilder:validation:Optional
	StudyTemplateName string `json:"studyTemplateName,omitempty" protobuf:"bytes,2,opt,name=studyTemplateName"`
	// A template for models unit tests
	// +kubebuilder:validation:Optional
	ModelUnitTests catalog.TestSuite `json:"modelUnitTests,omitempty" protobuf:"bytes,3,opt,name=modelUnitTests"`
	// Training schedule
	// +kubebuilder:validation:Optional
	TrainingSchedule catalog.RunSchedule `json:"trainingSchedule,omitempty" protobuf:"bytes,4,opt,name=trainingSchedule"`
	// ModelImage specifies the configuration to upload Docker images of models to an image registry
	//+kubebuilder:validation:Optional
	ModelImage ModelImageSpec `json:"modelImage,omitempty" protobuf:"bytes,5,opt,name=modelImage"`
	// Promotion defines the way to promote models
	//+kubebuilder:validation:Optional
	PromotionPolicy catalog.PromotionType `json:"promotionPolicy,omitempty" protobuf:"bytes,6,opt,name=promotionPolicy"`
	// If true, retrain on drift
	// +kubebuilder:validation:Optional
	RetrainOnDrift *bool `json:"retrainOnDrift,omitempty" protobuf:"bytes,7,opt,name=retrainOnDrift"`
	// If true, retrain when there is a change in the labels data file. For example, if new labels were added
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	RetrainOnLabelsDataChange *bool `json:"retrainOnLabelsDataChange,omitempty" protobuf:"bytes,8,opt,name=retrainOnLabelsDataChange"`
	// If true, retrain on the model when a ever a metadata change occur.
	// A metadata change is adding or removing feature from a feature group that the model depends on
	// adding or removing entities, etc.
	// When a metadata change is detected, the system will retrain the models
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	RetrainOnFeaturesMetadataChange *bool `json:"retrainOnFeaturesMetadataChange,omitempty" protobuf:"bytes,9,opt,name=retrainOnFeaturesMetadataChange"`
	// Define custom search space for this model class.
	// If not defined, we would use the search space in the model template.
	// +kubebuilder:validation:Optional
	SearchSpace *AlgorithmSearchSpaceSpec `json:"searchSpace,omitempty" protobuf:"bytes,10,opt,name=searchSpace"`
}

Specification for model training.

func (*ModelClassTrainingSpec) DeepCopy added in v0.5.264 

func (in *ModelClassTrainingSpec) DeepCopy() *ModelClassTrainingSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelClassTrainingSpec.

func (*ModelClassTrainingSpec) DeepCopyInto added in v0.5.264 

func (in *ModelClassTrainingSpec) DeepCopyInto(out *ModelClassTrainingSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelClassTrainingSpec) Descriptor added in v0.5.261 

func (*ModelClassTrainingSpec) Descriptor() ([]byte, []int)

func (*ModelClassTrainingSpec) Marshal added in v0.5.261 

func (m *ModelClassTrainingSpec) Marshal() (dAtA []byte, err error)

func (*ModelClassTrainingSpec) MarshalTo added in v0.5.261 

func (m *ModelClassTrainingSpec) MarshalTo(dAtA []byte) (int, error)

func (*ModelClassTrainingSpec) MarshalToSizedBuffer added in v0.5.261 

func (m *ModelClassTrainingSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelClassTrainingSpec) ProtoMessage added in v0.5.261 

func (*ModelClassTrainingSpec) ProtoMessage()

func (*ModelClassTrainingSpec) Reset added in v0.5.261 

func (m *ModelClassTrainingSpec) Reset()

func (*ModelClassTrainingSpec) Size added in v0.5.261 

func (m *ModelClassTrainingSpec) Size() (n int)

func (*ModelClassTrainingSpec) String added in v0.5.261 

func (this *ModelClassTrainingSpec) String() string

func (*ModelClassTrainingSpec) Unmarshal added in v0.5.261 

func (m *ModelClassTrainingSpec) Unmarshal(dAtA []byte) error

func (*ModelClassTrainingSpec) XXX_DiscardUnknown added in v0.5.261 

func (m *ModelClassTrainingSpec) XXX_DiscardUnknown()

func (*ModelClassTrainingSpec) XXX_Marshal added in v0.5.261 

func (m *ModelClassTrainingSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelClassTrainingSpec) XXX_Merge added in v0.5.261 

func (m *ModelClassTrainingSpec) XXX_Merge(src proto.Message)

func (*ModelClassTrainingSpec) XXX_Size added in v0.5.261 

func (m *ModelClassTrainingSpec) XXX_Size() int

func (*ModelClassTrainingSpec) XXX_Unmarshal added in v0.5.261 

func (m *ModelClassTrainingSpec) XXX_Unmarshal(b []byte) error

type ModelCondition 

type ModelCondition struct {
	// Type of Model condition
	Type ModelConditionType `json:"type" protobuf:"bytes,1,opt,name=type,casttype=ModelConditionType"`
	// Status of the condition, one of True, False, Unknown
	Status v1.ConditionStatus `json:"status" protobuf:"bytes,2,opt,name=status,casttype=k8s.io/api/core/v1.ConditionStatus"`
	// Last time the condition transitioned from one status to another
	LastTransitionTime *metav1.Time `json:"lastTransitionTime,omitempty" protobuf:"bytes,4,opt,name=lastTransitionTime"`
	// The reason for the condition's last transition
	Reason string `json:"reason,omitempty" protobuf:"bytes,5,opt,name=reason"`
	// A human-readable message indicating details about the transition
	Message string `json:"message,omitempty" protobuf:"bytes,6,opt,name=message"`
}

ModelCondition describes the state of a Model at a certain point

func (*ModelCondition) DeepCopy 

func (in *ModelCondition) DeepCopy() *ModelCondition

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelCondition.

func (*ModelCondition) DeepCopyInto 

func (in *ModelCondition) DeepCopyInto(out *ModelCondition)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelCondition) Descriptor 

func (*ModelCondition) Descriptor() ([]byte, []int)

func (*ModelCondition) Marshal 

func (m *ModelCondition) Marshal() (dAtA []byte, err error)

func (*ModelCondition) MarshalTo 

func (m *ModelCondition) MarshalTo(dAtA []byte) (int, error)

func (*ModelCondition) MarshalToSizedBuffer 

func (m *ModelCondition) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelCondition) ProtoMessage 

func (*ModelCondition) ProtoMessage()

func (*ModelCondition) Reset 

func (m *ModelCondition) Reset()

func (*ModelCondition) Size 

func (m *ModelCondition) Size() (n int)

func (*ModelCondition) String 

func (this *ModelCondition) String() string

func (*ModelCondition) Unmarshal 

func (m *ModelCondition) Unmarshal(dAtA []byte) error

func (*ModelCondition) XXX_DiscardUnknown 

func (m *ModelCondition) XXX_DiscardUnknown()

func (*ModelCondition) XXX_Marshal 

func (m *ModelCondition) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelCondition) XXX_Merge 

func (m *ModelCondition) XXX_Merge(src proto.Message)

func (*ModelCondition) XXX_Size 

func (m *ModelCondition) XXX_Size() int

func (*ModelCondition) XXX_Unmarshal 

func (m *ModelCondition) XXX_Unmarshal(b []byte) error

type ModelConditionType 

type ModelConditionType string

ModelConditionType specifies the current condition of a Model 

const (
	// ModelInitialized states that the Model is populated with an algorithm and hyper-parameters
	ModelInitialized ModelConditionType = "Initialized"
	// ModelTrained states that the Model was trained on a training dataset, and validated against a validation dataset
	ModelTrained ModelConditionType = "Trained"
	// ModelTested states that the Model was tested against the test set.
	ModelTested ModelConditionType = "Tested"
	// ModelTested states that the Model was tuned,
	ModelTuned ModelConditionType = "Tuned"
	// ModelUnitTested states that the Model was unit tested
	ModelUnitTested ModelConditionType = "UnitTested"
	// ModelUnitTested states that the Model was trained on the training dataset, and tested against the testing dataset
	ModelFeedbackTested ModelConditionType = "FeedbackTested"
	// ModelReported states that a Report for the Model was generated and uploaded to a bucket
	ModelReported ModelConditionType = "Reported"
	// ModelPackaged states that the Model was baked into a Docker image
	ModelPackaged ModelConditionType = "Packaged"
	// ModelPublished states the the Model was baked into a Docker image and published to a Docker image repository
	ModelPublished ModelConditionType = "Published"
	// ModelPredicted states the the Model perform the prediction.
	ModelPredicted ModelConditionType = "Predicted"
	// ModelPredicted states the the Model perform the prediction.
	ModelMerged ModelConditionType = "Merged"
	// ModelProfiled states that the Model was profiled
	ModelProfiled ModelConditionType = "Profiled"
	// ModelReady states that the Model is ready for deployment
	ModelReady ModelConditionType = "Ready"
	// ModelSaved states that the Model artifacts were saved to a bucket
	ModelSaved ModelConditionType = "Saved"
	// ModelArchived states that the Model artifacts were archived to a bucket
	ModelArchived ModelConditionType = "Archived"
	// ModelExplained states that SHAP values were computed for the Model and diagrams were generated with them
	ModelExplained ModelConditionType = "Explained"
	// ModelReleased states that the Model has been added to a Predictor and awaiting deployment
	ModelReleased ModelConditionType = "Released"
	// ModelAborted states that training was aborted
	ModelAborted ModelConditionType = "Aborted"
	// ModelPaused states that training was paused
	ModelPaused     ModelConditionType = "Paused"
	ModelForecasted ModelConditionType = "Forecasted"
	// ModelUat states that the Model is being used within a user acceptance test
	ModelUat ModelConditionType = "UAT"
	// ModelLive states that the Model is active and serving predictions
	ModelLive                 ModelConditionType = "Live"
	ModelStale                ModelConditionType = "Stale"
	ModelMaintenance          ModelConditionType = "Maintenance"
	ModelRetired              ModelConditionType = "Retired"
	ModelTrainedDriftDetector ModelConditionType = "TrainedDriftDetector"
	ModelPruned               ModelConditionType = "Pruned"   // If the model was pruned by the optimizer
	ModelFeedback             ModelConditionType = "Feedback" // If the model feedback.
)

/ Model

type ModelGroupByStatus added in v0.5.172 

type ModelGroupByStatus struct {
	// The locations of the datasets profile files. Each file is the group
	// +kubebuilder:validation:Optional
	ModelsURI string `json:"modelsURI,omitempty" protobuf:"bytes,1,opt,name=modelsURI"`
	// The locations of the datasets profiles files.
	// +kubebuilder:validation:Optional
	ProfilesURI string `json:"profilesURI,omitempty" protobuf:"bytes,2,opt,name=profilesURI"`
	// The locations of forecasts
	// +kubebuilder:validation:Optional
	ForecastsURI string `json:"forecastsURI,omitempty" protobuf:"bytes,3,opt,name=forecastsURI"`
	// Holds the worker on going result, when a worker finish, we update the location of thier result files
	// +kubebuilder:validation:Optional
	WorkerResults []catalog.WorkerRunResult `json:"workerResults,omitempty" protobuf:"bytes,4,opt,name=workerResults"`
}

func (*ModelGroupByStatus) DeepCopy added in v0.5.173 

func (in *ModelGroupByStatus) DeepCopy() *ModelGroupByStatus

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelGroupByStatus.

func (*ModelGroupByStatus) DeepCopyInto added in v0.5.173 

func (in *ModelGroupByStatus) DeepCopyInto(out *ModelGroupByStatus)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelGroupByStatus) Descriptor added in v0.5.172 

func (*ModelGroupByStatus) Descriptor() ([]byte, []int)

func (*ModelGroupByStatus) Marshal added in v0.5.172 

func (m *ModelGroupByStatus) Marshal() (dAtA []byte, err error)

func (*ModelGroupByStatus) MarshalTo added in v0.5.172 

func (m *ModelGroupByStatus) MarshalTo(dAtA []byte) (int, error)

func (*ModelGroupByStatus) MarshalToSizedBuffer added in v0.5.172 

func (m *ModelGroupByStatus) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelGroupByStatus) ProtoMessage added in v0.5.172 

func (*ModelGroupByStatus) ProtoMessage()

func (*ModelGroupByStatus) Reset added in v0.5.172 

func (m *ModelGroupByStatus) Reset()

func (*ModelGroupByStatus) Size added in v0.5.172 

func (m *ModelGroupByStatus) Size() (n int)

func (*ModelGroupByStatus) String added in v0.5.172 

func (this *ModelGroupByStatus) String() string

func (*ModelGroupByStatus) Unmarshal added in v0.5.172 

func (m *ModelGroupByStatus) Unmarshal(dAtA []byte) error

func (*ModelGroupByStatus) XXX_DiscardUnknown added in v0.5.172 

func (m *ModelGroupByStatus) XXX_DiscardUnknown()

func (*ModelGroupByStatus) XXX_Marshal added in v0.5.172 

func (m *ModelGroupByStatus) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelGroupByStatus) XXX_Merge added in v0.5.172 

func (m *ModelGroupByStatus) XXX_Merge(src proto.Message)

func (*ModelGroupByStatus) XXX_Size added in v0.5.172 

func (m *ModelGroupByStatus) XXX_Size() int

func (*ModelGroupByStatus) XXX_Unmarshal added in v0.5.172 

func (m *ModelGroupByStatus) XXX_Unmarshal(b []byte) error

type ModelImageSpec 

type ModelImageSpec struct {
	// +kubebuilder:validation:Optional
	// +kubebuilder:default:=false
	Exist *bool `json:"exist,omitempty" protobuf:"varint,1,opt,name=exist"`
	// The full name of the image to upload to
	// +kubebuilder:default:=""
	// +kubebuilder:validation:Optional
	ImageName *string `json:"imageName,omitempty" protobuf:"bytes,2,opt,name=imageName"`
	// The name of the Connection resource to an external Docker image registry
	// +kubebuilder:default:=""
	// +kubebuilder:validation:Optional
	RegistryConnection *string `json:"registryConnectionName,omitempty" protobuf:"bytes,3,opt,name=registryConnectionName"`
}

ModelImageSpec specifies the destination of Docker images produced by a ModelClass

func (*ModelImageSpec) DeepCopy 

func (in *ModelImageSpec) DeepCopy() *ModelImageSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelImageSpec.

func (*ModelImageSpec) DeepCopyInto 

func (in *ModelImageSpec) DeepCopyInto(out *ModelImageSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelImageSpec) Descriptor 

func (*ModelImageSpec) Descriptor() ([]byte, []int)

func (*ModelImageSpec) Marshal 

func (m *ModelImageSpec) Marshal() (dAtA []byte, err error)

func (*ModelImageSpec) MarshalTo 

func (m *ModelImageSpec) MarshalTo(dAtA []byte) (int, error)

func (*ModelImageSpec) MarshalToSizedBuffer 

func (m *ModelImageSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelImageSpec) ProtoMessage 

func (*ModelImageSpec) ProtoMessage()

func (*ModelImageSpec) Reset 

func (m *ModelImageSpec) Reset()

func (*ModelImageSpec) Size 

func (m *ModelImageSpec) Size() (n int)

func (*ModelImageSpec) String 

func (this *ModelImageSpec) String() string

func (*ModelImageSpec) Unmarshal 

func (m *ModelImageSpec) Unmarshal(dAtA []byte) error

func (*ModelImageSpec) XXX_DiscardUnknown 

func (m *ModelImageSpec) XXX_DiscardUnknown()

func (*ModelImageSpec) XXX_Marshal 

func (m *ModelImageSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelImageSpec) XXX_Merge 

func (m *ModelImageSpec) XXX_Merge(src proto.Message)

func (*ModelImageSpec) XXX_Size 

func (m *ModelImageSpec) XXX_Size() int

func (*ModelImageSpec) XXX_Unmarshal 

func (m *ModelImageSpec) XXX_Unmarshal(b []byte) error

type ModelList 

type ModelList struct {
	metav1.TypeMeta `json:",inline"`
	metav1.ListMeta `json:"metadata,omitempty" protobuf:"bytes,1,opt,name=metadata"`
	Items           []Model `json:"items" protobuf:"bytes,2,rep,name=items"`
}

+kubebuilder:object:root=true ModelList is a list of Models

func (*ModelList) DeepCopy 

func (in *ModelList) DeepCopy() *ModelList

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelList.

func (*ModelList) DeepCopyInto 

func (in *ModelList) DeepCopyInto(out *ModelList)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelList) DeepCopyObject 

func (in *ModelList) DeepCopyObject() runtime.Object

DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object.

func (*ModelList) Descriptor 

func (*ModelList) Descriptor() ([]byte, []int)

func (*ModelList) Marshal 

func (m *ModelList) Marshal() (dAtA []byte, err error)

func (*ModelList) MarshalTo 

func (m *ModelList) MarshalTo(dAtA []byte) (int, error)

func (*ModelList) MarshalToSizedBuffer 

func (m *ModelList) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelList) ProtoMessage 

func (*ModelList) ProtoMessage()

func (*ModelList) Reset 

func (m *ModelList) Reset()

func (*ModelList) Size 

func (m *ModelList) Size() (n int)

func (*ModelList) String 

func (this *ModelList) String() string

func (*ModelList) Unmarshal 

func (m *ModelList) Unmarshal(dAtA []byte) error

func (*ModelList) XXX_DiscardUnknown 

func (m *ModelList) XXX_DiscardUnknown()

func (*ModelList) XXX_Marshal 

func (m *ModelList) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelList) XXX_Merge 

func (m *ModelList) XXX_Merge(src proto.Message)

func (*ModelList) XXX_Size 

func (m *ModelList) XXX_Size() int

func (*ModelList) XXX_Unmarshal 

func (m *ModelList) XXX_Unmarshal(b []byte) error

type ModelPhase 

type ModelPhase string

ModelPhase specifies the current phase of a Model 

const (
	ModelPhaseFailed                ModelPhase = "Failed"
	ModelPhasePending               ModelPhase = "Pending"
	ModelPhaseTraining              ModelPhase = "Training"
	ModelPhaseTrained               ModelPhase = "Trained"
	ModelPhaseTesting               ModelPhase = "Testing"
	ModelPhaseTested                ModelPhase = "Tested"
	ModelPhaseTuning                ModelPhase = "Tuning"
	ModelPhaseTuned                 ModelPhase = "Tuned"
	ModelPhaseUnitTesting           ModelPhase = "UnitTesting"
	ModelPhaseUnitTested            ModelPhase = "UnitTested"
	ModelPhaseComputingFeedback     ModelPhase = "ComputingFeedback"
	ModelPhaseComputedFeedback      ModelPhase = "ComputedFeedback"
	ModelPhaseReporting             ModelPhase = "Reporting"
	ModelPhaseReported              ModelPhase = "Reported"
	ModelPhaseCompleted             ModelPhase = "Completed"
	ModelPhasePublishing            ModelPhase = "Publishing"
	ModelPhasePublished             ModelPhase = "Published"
	ModelPhasePackaging             ModelPhase = "Packaging"
	ModelPhasePackaged              ModelPhase = "Packaged"
	ModelPhaseProfiling             ModelPhase = "Profiling"
	ModelPhaseProfiled              ModelPhase = "Profiled"
	ModelPhaseExplaining            ModelPhase = "Explaining"
	ModelPhaseExplained             ModelPhase = "Explained"
	ModelPhaseAborted               ModelPhase = "Aborted"
	ModelPhaseForecasting           ModelPhase = "Forecasting"
	ModelPhaseForecasted            ModelPhase = "Forecasted"
	ModelPhaseMerging               ModelPhase = "Merging" // for group forecast, merged the forecast
	ModelPhaseMerged                ModelPhase = "Merged"
	ModelPhaseUat                   ModelPhase = "UAT"
	ModelPhaseDeployed              ModelPhase = "Deployed"
	ModelPhaseReleasing             ModelPhase = "Releasing"
	ModelPhasePredicting            ModelPhase = "Predicting"
	ModelPhasePredicted             ModelPhase = "Predicted"
	ModelPhaseLive                  ModelPhase = "Live"
	ModelPhaseCanary                ModelPhase = "Canary"
	ModelPhaseShadow                ModelPhase = "Shadow"
	ModelPhaseMaintenance           ModelPhase = "Maintenance"
	ModelPhaseRetired               ModelPhase = "Retired"
	ModelPhaseTrainingDriftDetector ModelPhase = "TrainingDriftDetector"
	ModelPhaseTrainedDriftDetector  ModelPhase = "TrainedDriftDetector"
	ModelPhasePruned                ModelPhase = "Pruned"
)

type ModelPipeline 

type ModelPipeline struct {
	metav1.TypeMeta   `json:",inline"`
	metav1.ObjectMeta `json:"metadata,omitempty" protobuf:"bytes,1,opt,name=metadata"`
	Spec              ModelPipelineSpec `json:"spec" protobuf:"bytes,2,opt,name=spec"`
	//+optional
	Status ModelPipelineStatus `json:"status,omitempty" protobuf:"bytes,3,opt,name=status"`
}

+kubebuilder:object:root=true +kubebuilder:subresource:status +kubebuilder:storageversion +kubebuilder:printcolumn:name="Ready",type="string",JSONPath=".status.conditions[?(@.type==\"Ready\")].status",description="" +kubebuilder:printcolumn:name="Schedule",type="string",JSONPath=".spec.schedule",description="" +kubebuilder:printcolumn:name="Last Run",type="date",JSONPath=".status.lastRun",description="" +kubebuilder:printcolumn:name="Age",type="date",JSONPath=".metadata.creationTimestamp" +kubebuilder:resource:path=modelpipelines,singular=modelpipeline,shortName=pipe,categories={training,modela,all} ModelPipeline represent a CI/CD machine learning pipeline definition

func ParsePipelineYaml 

func ParsePipelineYaml(content []byte) (*ModelPipeline, error)

func (*ModelPipeline) AddFinalizer 

func (pl *ModelPipeline) AddFinalizer()

func (*ModelPipeline) Archived 

func (pl *ModelPipeline) Archived() bool

func (*ModelPipeline) CreateOrUpdateCond 

func (pl *ModelPipeline) CreateOrUpdateCond(cond ModelPipelineCondition)

Merge or update condition

func (*ModelPipeline) DeepCopy 

func (in *ModelPipeline) DeepCopy() *ModelPipeline

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelPipeline.

func (*ModelPipeline) DeepCopyInto 

func (in *ModelPipeline) DeepCopyInto(out *ModelPipeline)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelPipeline) DeepCopyObject 

func (in *ModelPipeline) DeepCopyObject() runtime.Object

DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object.

func (*ModelPipeline) Default 

func (pl *ModelPipeline) Default()

func (*ModelPipeline) Descriptor 

func (*ModelPipeline) Descriptor() ([]byte, []int)

func (*ModelPipeline) GetCond 

func (pl *ModelPipeline) GetCond(t ModelPipelineConditionType) ModelPipelineCondition

func (*ModelPipeline) GetCondIdx 

func (pl *ModelPipeline) GetCondIdx(t ModelPipelineConditionType) int

func (*ModelPipeline) HasDataStage 

func (pl *ModelPipeline) HasDataStage() bool

func (*ModelPipeline) HasFinalizer 

func (pl *ModelPipeline) HasFinalizer() bool

func (*ModelPipeline) HasTrainingNotebook 

func (pl *ModelPipeline) HasTrainingNotebook() bool

func (*ModelPipeline) HasTrainingStage 

func (pl *ModelPipeline) HasTrainingStage() bool

func (*ModelPipeline) HasTrainingStudy 

func (pl *ModelPipeline) HasTrainingStudy() bool

func (*ModelPipeline) IsReady 

func (run *ModelPipeline) IsReady() bool

func (*ModelPipeline) MarkArchived 

func (pl *ModelPipeline) MarkArchived()

func (*ModelPipeline) MarkReady 

func (pl *ModelPipeline) MarkReady()

func (*ModelPipeline) Marshal 

func (m *ModelPipeline) Marshal() (dAtA []byte, err error)

func (*ModelPipeline) MarshalTo 

func (m *ModelPipeline) MarshalTo(dAtA []byte) (int, error)

func (*ModelPipeline) MarshalToSizedBuffer 

func (m *ModelPipeline) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelPipeline) PredictionName 

func (pl *ModelPipeline) PredictionName() string

func (*ModelPipeline) PredictorName 

func (pl *ModelPipeline) PredictorName() string

Compare the current

func (*ModelPipeline) ProtoMessage 

func (*ModelPipeline) ProtoMessage()

func (*ModelPipeline) RemoveFinalizer 

func (pl *ModelPipeline) RemoveFinalizer()

func (*ModelPipeline) Reset 

func (m *ModelPipeline) Reset()

func (*ModelPipeline) SetupWebhookWithManager 

func (pl *ModelPipeline) SetupWebhookWithManager(mgr ctrl.Manager) error

Set up the webhook with the manager.

func (*ModelPipeline) Size 

func (m *ModelPipeline) Size() (n int)

func (*ModelPipeline) String 

func (this *ModelPipeline) String() string

func (*ModelPipeline) Unmarshal 

func (m *ModelPipeline) Unmarshal(dAtA []byte) error

func (*ModelPipeline) ValidateCreate 

func (pl *ModelPipeline) ValidateCreate() error

ValidateCreate implements webhook.Validator so a webhook will be registered for the type

func (*ModelPipeline) ValidateDelete 

func (pl *ModelPipeline) ValidateDelete() error

func (*ModelPipeline) ValidateUpdate 

func (pl *ModelPipeline) ValidateUpdate(old runtime.Object) error

ValidateUpdate implements webhook.Validator so a webhook will be registered for the type

func (*ModelPipeline) XXX_DiscardUnknown 

func (m *ModelPipeline) XXX_DiscardUnknown()

func (*ModelPipeline) XXX_Marshal 

func (m *ModelPipeline) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelPipeline) XXX_Merge 

func (m *ModelPipeline) XXX_Merge(src proto.Message)

func (*ModelPipeline) XXX_Size 

func (m *ModelPipeline) XXX_Size() int

func (*ModelPipeline) XXX_Unmarshal 

func (m *ModelPipeline) XXX_Unmarshal(b []byte) error

type ModelPipelineCondition 

type ModelPipelineCondition struct {
	// Type of account condition.
	Type ModelPipelineConditionType `json:"type" protobuf:"bytes,1,opt,name=type,casttype=ModelPipelineConditionType"`
	// Status of the condition, one of True, False, Unknown.
	Status v1.ConditionStatus `json:"status" protobuf:"bytes,2,opt,name=status,casttype=k8s.io/api/core/v1.ConditionStatus"`
	// Last time the condition transitioned from one status to another.
	LastTransitionTime *metav1.Time `json:"lastTransitionTime,omitempty" protobuf:"bytes,3,opt,name=lastTransitionTime"`
	// The reason for the condition's last transition.
	Reason string `json:"reason,omitempty" protobuf:"bytes,4,opt,name=reason"`
	// A human readable message indicating details about the transition.
	Message string `json:"message,omitempty" protobuf:"bytes,5,opt,name=message"`
}

ModelPipelineCondition describes the state of a pipeline at a certain point.

func (*ModelPipelineCondition) DeepCopy 

func (in *ModelPipelineCondition) DeepCopy() *ModelPipelineCondition

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelPipelineCondition.

func (*ModelPipelineCondition) DeepCopyInto 

func (in *ModelPipelineCondition) DeepCopyInto(out *ModelPipelineCondition)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelPipelineCondition) Descriptor 

func (*ModelPipelineCondition) Descriptor() ([]byte, []int)

func (*ModelPipelineCondition) Marshal 

func (m *ModelPipelineCondition) Marshal() (dAtA []byte, err error)

func (*ModelPipelineCondition) MarshalTo 

func (m *ModelPipelineCondition) MarshalTo(dAtA []byte) (int, error)

func (*ModelPipelineCondition) MarshalToSizedBuffer 

func (m *ModelPipelineCondition) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelPipelineCondition) ProtoMessage 

func (*ModelPipelineCondition) ProtoMessage()

func (*ModelPipelineCondition) Reset 

func (m *ModelPipelineCondition) Reset()

func (*ModelPipelineCondition) Size 

func (m *ModelPipelineCondition) Size() (n int)

func (*ModelPipelineCondition) String 

func (this *ModelPipelineCondition) String() string

func (*ModelPipelineCondition) Unmarshal 

func (m *ModelPipelineCondition) Unmarshal(dAtA []byte) error

func (*ModelPipelineCondition) XXX_DiscardUnknown 

func (m *ModelPipelineCondition) XXX_DiscardUnknown()

func (*ModelPipelineCondition) XXX_Marshal 

func (m *ModelPipelineCondition) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelPipelineCondition) XXX_Merge 

func (m *ModelPipelineCondition) XXX_Merge(src proto.Message)

func (*ModelPipelineCondition) XXX_Size 

func (m *ModelPipelineCondition) XXX_Size() int

func (*ModelPipelineCondition) XXX_Unmarshal 

func (m *ModelPipelineCondition) XXX_Unmarshal(b []byte) error

type ModelPipelineConditionType 

type ModelPipelineConditionType string
const (
	ModelPipelineReady ModelPipelineConditionType = "Ready"
	ModelPipelineSaved ModelPipelineConditionType = "Saved"
)

type ModelPipelineList 

type ModelPipelineList struct {
	metav1.TypeMeta `json:",inline"`
	metav1.ListMeta `json:"metadata,omitempty" protobuf:"bytes,1,opt,name=metadata"`
	Items           []ModelPipeline `json:"items" protobuf:"bytes,2,rep,name=items"`
}

+kubebuilder:object:root=true ModelPipelineList represent list of pipelines

func (*ModelPipelineList) DeepCopy 

func (in *ModelPipelineList) DeepCopy() *ModelPipelineList

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelPipelineList.

func (*ModelPipelineList) DeepCopyInto 

func (in *ModelPipelineList) DeepCopyInto(out *ModelPipelineList)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelPipelineList) DeepCopyObject 

func (in *ModelPipelineList) DeepCopyObject() runtime.Object

DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object.

func (*ModelPipelineList) Descriptor 

func (*ModelPipelineList) Descriptor() ([]byte, []int)

func (*ModelPipelineList) Marshal 

func (m *ModelPipelineList) Marshal() (dAtA []byte, err error)

func (*ModelPipelineList) MarshalTo 

func (m *ModelPipelineList) MarshalTo(dAtA []byte) (int, error)

func (*ModelPipelineList) MarshalToSizedBuffer 

func (m *ModelPipelineList) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelPipelineList) ProtoMessage 

func (*ModelPipelineList) ProtoMessage()

func (*ModelPipelineList) Reset 

func (m *ModelPipelineList) Reset()

func (*ModelPipelineList) Size 

func (m *ModelPipelineList) Size() (n int)

func (*ModelPipelineList) String 

func (this *ModelPipelineList) String() string

func (*ModelPipelineList) Unmarshal 

func (m *ModelPipelineList) Unmarshal(dAtA []byte) error

func (*ModelPipelineList) XXX_DiscardUnknown 

func (m *ModelPipelineList) XXX_DiscardUnknown()

func (*ModelPipelineList) XXX_Marshal 

func (m *ModelPipelineList) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelPipelineList) XXX_Merge 

func (m *ModelPipelineList) XXX_Merge(src proto.Message)

func (*ModelPipelineList) XXX_Size 

func (m *ModelPipelineList) XXX_Size() int

func (*ModelPipelineList) XXX_Unmarshal 

func (m *ModelPipelineList) XXX_Unmarshal(b []byte) error

type ModelPipelineRun 

type ModelPipelineRun struct {
	metav1.TypeMeta   `json:",inline"`
	metav1.ObjectMeta `json:"metadata,omitempty" protobuf:"bytes,1,opt,name=metadata"`
	Spec              ModelPipelineRunSpec `json:"spec" protobuf:"bytes,2,opt,name=spec"`
	//+optional
	Status ModelPipelineRunStatus `json:"status,omitempty" protobuf:"bytes,3,opt,name=status"`
}

+kubebuilder:object:root=true +kubebuilder:subresource:status +kubebuilder:storageversion +kubebuilder:printcolumn:name="Status",type="string",JSONPath=".status.phase" +kubebuilder:printcolumn:name="Progress",type="number",JSONPath=".status.progress",priority=1 +kubebuilder:printcolumn:name="Pipeline",type="string",JSONPath=".status.pipelineName" +kubebuilder:printcolumn:name="Version",type="string",JSONPath=".status.versionName" +kubebuilder:printcolumn:name="StartTime",type="date",JSONPath=".status.startTime",priority=1 +kubebuilder:printcolumn:name="CompletionTime",type="date",JSONPath=".status.completionTime",priority=1 +kubebuilder:printcolumn:name="Last Failure",type="string",JSONPath=".status.failureMessage" +kubebuilder:printcolumn:name="Age",type="date",JSONPath=".metadata.creationTimestamp" +kubebuilder:resource:path=modelpipelineruns,shortName=mpr,singular=modelpipelinerun,categories={train,modela,all} ModelPipelineRun represent a execution of a pipeline

func (*ModelPipelineRun) AddFinalizer 

func (run *ModelPipelineRun) AddFinalizer()

func (*ModelPipelineRun) CompletionAlert added in v0.4.956 

func (run *ModelPipelineRun) CompletionAlert(tenantRef *v1.ObjectReference, notifierName *string) *infra.Alert

func (*ModelPipelineRun) CreateOrUpdateCond 

func (run *ModelPipelineRun) CreateOrUpdateCond(cond ModelPipelineRunCondition)

func (*ModelPipelineRun) DeepCopy 

func (in *ModelPipelineRun) DeepCopy() *ModelPipelineRun

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelPipelineRun.

func (*ModelPipelineRun) DeepCopyInto 

func (in *ModelPipelineRun) DeepCopyInto(out *ModelPipelineRun)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelPipelineRun) DeepCopyObject 

func (in *ModelPipelineRun) DeepCopyObject() runtime.Object

DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object.

func (*ModelPipelineRun) Default 

func (run *ModelPipelineRun) Default()

func (*ModelPipelineRun) Descriptor 

func (*ModelPipelineRun) Descriptor() ([]byte, []int)

func (*ModelPipelineRun) ErrorAlert added in v0.4.956 

func (run *ModelPipelineRun) ErrorAlert(tenantRef *v1.ObjectReference, notifierName *string, err error) *infra.Alert

func (*ModelPipelineRun) GetCond 

func (run *ModelPipelineRun) GetCond(t PipelineRunConditionType) ModelPipelineRunCondition

func (*ModelPipelineRun) GetCondIdx 

func (run *ModelPipelineRun) GetCondIdx(t PipelineRunConditionType) int

func (*ModelPipelineRun) HasFinalizer 

func (run *ModelPipelineRun) HasFinalizer() bool

func (*ModelPipelineRun) IsCapacityStageCompleted 

func (this *ModelPipelineRun) IsCapacityStageCompleted() bool

func (*ModelPipelineRun) IsCapacityStageFailed 

func (this *ModelPipelineRun) IsCapacityStageFailed() bool

func (*ModelPipelineRun) IsCapacityStageRunning 

func (this *ModelPipelineRun) IsCapacityStageRunning() bool

func (*ModelPipelineRun) IsDataStageCompleted 

func (this *ModelPipelineRun) IsDataStageCompleted() bool

func (*ModelPipelineRun) IsDataStageFailed 

func (this *ModelPipelineRun) IsDataStageFailed() bool

func (*ModelPipelineRun) IsDataStageRunning 

func (this *ModelPipelineRun) IsDataStageRunning() bool

func (*ModelPipelineRun) IsFailed added in v0.4.614 

func (in *ModelPipelineRun) IsFailed() bool

func (*ModelPipelineRun) IsProdStageCompleted 

func (this *ModelPipelineRun) IsProdStageCompleted() bool

func (*ModelPipelineRun) IsProdStageFailed 

func (this *ModelPipelineRun) IsProdStageFailed() bool

func (*ModelPipelineRun) IsProdStageRunning 

func (this *ModelPipelineRun) IsProdStageRunning() bool

func (*ModelPipelineRun) IsSaved 

func (this *ModelPipelineRun) IsSaved() bool

func (*ModelPipelineRun) IsTrainingStageCompleted 

func (this *ModelPipelineRun) IsTrainingStageCompleted() bool

func (*ModelPipelineRun) IsTrainingStageFailed 

func (this *ModelPipelineRun) IsTrainingStageFailed() bool

func (*ModelPipelineRun) IsTrainingStageRunning 

func (this *ModelPipelineRun) IsTrainingStageRunning() bool

func (*ModelPipelineRun) IsUATStageFailed 

func (this *ModelPipelineRun) IsUATStageFailed() bool

func (*ModelPipelineRun) IsUATStageRunning 

func (this *ModelPipelineRun) IsUATStageRunning() bool

func (*ModelPipelineRun) IsUatStageCompleted 

func (this *ModelPipelineRun) IsUatStageCompleted() bool

func (*ModelPipelineRun) MarkCapacityStageFailed 

func (this *ModelPipelineRun) MarkCapacityStageFailed(err error)

func (*ModelPipelineRun) MarkCapacityStageRunning 

func (this *ModelPipelineRun) MarkCapacityStageRunning()

////////////////////////////////////////////////////////// Capacity Stage //////////////////////////////////////////////////////////

func (*ModelPipelineRun) MarkCapcityStageCompleted 

func (this *ModelPipelineRun) MarkCapcityStageCompleted()

func (*ModelPipelineRun) MarkDataStageCompleted 

func (this *ModelPipelineRun) MarkDataStageCompleted()

func (*ModelPipelineRun) MarkDataStageFailed 

func (this *ModelPipelineRun) MarkDataStageFailed(err error)

func (*ModelPipelineRun) MarkDataStageRunning 

func (this *ModelPipelineRun) MarkDataStageRunning()

func (*ModelPipelineRun) MarkProdStageCompleted 

func (this *ModelPipelineRun) MarkProdStageCompleted()

func (*ModelPipelineRun) MarkProdStageFailed 

func (this *ModelPipelineRun) MarkProdStageFailed(err error)

func (*ModelPipelineRun) MarkProdStageRunning 

func (this *ModelPipelineRun) MarkProdStageRunning()

func (*ModelPipelineRun) MarkSaved 

func (this *ModelPipelineRun) MarkSaved()

func (*ModelPipelineRun) MarkTrainingStageCompleted 

func (this *ModelPipelineRun) MarkTrainingStageCompleted()

func (*ModelPipelineRun) MarkTrainingStageFailed 

func (this *ModelPipelineRun) MarkTrainingStageFailed(err error)

func (*ModelPipelineRun) MarkTrainingStageRunning 

func (this *ModelPipelineRun) MarkTrainingStageRunning()

////////////////////////////////////////////////////////// Training Stage //////////////////////////////////////////////////////////

func (*ModelPipelineRun) MarkUATStageCompleted 

func (this *ModelPipelineRun) MarkUATStageCompleted()

func (*ModelPipelineRun) MarkUATStageRunning 

func (this *ModelPipelineRun) MarkUATStageRunning()

////////////////////////////////////////////////////////// UAT Stage //////////////////////////////////////////////////////////

func (*ModelPipelineRun) MarkUatStageFailed 

func (this *ModelPipelineRun) MarkUatStageFailed(err error)

func (*ModelPipelineRun) Marshal 

func (m *ModelPipelineRun) Marshal() (dAtA []byte, err error)

func (*ModelPipelineRun) MarshalTo 

func (m *ModelPipelineRun) MarshalTo(dAtA []byte) (int, error)

func (*ModelPipelineRun) MarshalToSizedBuffer 

func (m *ModelPipelineRun) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelPipelineRun) ProtoMessage 

func (*ModelPipelineRun) ProtoMessage()

func (*ModelPipelineRun) RemoveFinalizer 

func (run *ModelPipelineRun) RemoveFinalizer()

func (*ModelPipelineRun) Reset 

func (m *ModelPipelineRun) Reset()

func (*ModelPipelineRun) RunStatus added in v0.4.614 

func (run *ModelPipelineRun) RunStatus() *catalog.LastRunStatus

Return the state of the run as RunStatus

func (*ModelPipelineRun) SetupWebhookWithManager 

func (pl *ModelPipelineRun) SetupWebhookWithManager(mgr ctrl.Manager) error

Set up the webhook with the manager.

func (*ModelPipelineRun) Size 

func (m *ModelPipelineRun) Size() (n int)

func (*ModelPipelineRun) StatusString 

func (run *ModelPipelineRun) StatusString() string

func (*ModelPipelineRun) String 

func (this *ModelPipelineRun) String() string

func (*ModelPipelineRun) Unmarshal 

func (m *ModelPipelineRun) Unmarshal(dAtA []byte) error

func (*ModelPipelineRun) ValidateCreate 

func (run *ModelPipelineRun) ValidateCreate() error

ValidateCreate implements webhook.Validator so a webhook will be registered for the type

func (*ModelPipelineRun) ValidateDelete 

func (run *ModelPipelineRun) ValidateDelete() error

func (*ModelPipelineRun) ValidateUpdate 

func (run *ModelPipelineRun) ValidateUpdate(old runtime.Object) error

ValidateUpdate implements webhook.Validator so a webhook will be registered for the type

func (*ModelPipelineRun) XXX_DiscardUnknown 

func (m *ModelPipelineRun) XXX_DiscardUnknown()

func (*ModelPipelineRun) XXX_Marshal 

func (m *ModelPipelineRun) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelPipelineRun) XXX_Merge 

func (m *ModelPipelineRun) XXX_Merge(src proto.Message)

func (*ModelPipelineRun) XXX_Size 

func (m *ModelPipelineRun) XXX_Size() int

func (*ModelPipelineRun) XXX_Unmarshal 

func (m *ModelPipelineRun) XXX_Unmarshal(b []byte) error

type ModelPipelineRunCondition 

type ModelPipelineRunCondition struct {
	// Type of  condition.
	Type PipelineRunConditionType `json:"type" protobuf:"bytes,1,opt,name=type,casttype=PipelineRunConditionType"`
	// Status of the condition, one of True, False, Unknown.
	Status v1.ConditionStatus `json:"status" protobuf:"bytes,2,opt,name=status,casttype=k8s.io/api/core/v1.ConditionStatus"`
	// Last time the condition transitioned from one status to another.
	LastTransitionTime *metav1.Time `json:"lastTransitionTime,omitempty" protobuf:"bytes,4,opt,name=lastTransitionTime"`
	// The reason for the condition's last transition.
	Reason string `json:"reason,omitempty" protobuf:"bytes,5,opt,name=reason"`
	// A human readable message indicating details about the transition.
	Message string `json:"message,omitempty" protobuf:"bytes,6,opt,name=message"`
}

ModelPipelineRunCondition describes the state of a ModelPipelineRun at a certain point.

func (*ModelPipelineRunCondition) DeepCopy 

func (in *ModelPipelineRunCondition) DeepCopy() *ModelPipelineRunCondition

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelPipelineRunCondition.

func (*ModelPipelineRunCondition) DeepCopyInto 

func (in *ModelPipelineRunCondition) DeepCopyInto(out *ModelPipelineRunCondition)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelPipelineRunCondition) Descriptor 

func (*ModelPipelineRunCondition) Descriptor() ([]byte, []int)

func (*ModelPipelineRunCondition) Marshal 

func (m *ModelPipelineRunCondition) Marshal() (dAtA []byte, err error)

func (*ModelPipelineRunCondition) MarshalTo 

func (m *ModelPipelineRunCondition) MarshalTo(dAtA []byte) (int, error)

func (*ModelPipelineRunCondition) MarshalToSizedBuffer 

func (m *ModelPipelineRunCondition) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelPipelineRunCondition) ProtoMessage 

func (*ModelPipelineRunCondition) ProtoMessage()

func (*ModelPipelineRunCondition) Reset 

func (m *ModelPipelineRunCondition) Reset()

func (*ModelPipelineRunCondition) Size 

func (m *ModelPipelineRunCondition) Size() (n int)

func (*ModelPipelineRunCondition) String 

func (this *ModelPipelineRunCondition) String() string

func (*ModelPipelineRunCondition) Unmarshal 

func (m *ModelPipelineRunCondition) Unmarshal(dAtA []byte) error

func (*ModelPipelineRunCondition) XXX_DiscardUnknown 

func (m *ModelPipelineRunCondition) XXX_DiscardUnknown()

func (*ModelPipelineRunCondition) XXX_Marshal 

func (m *ModelPipelineRunCondition) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelPipelineRunCondition) XXX_Merge 

func (m *ModelPipelineRunCondition) XXX_Merge(src proto.Message)

func (*ModelPipelineRunCondition) XXX_Size 

func (m *ModelPipelineRunCondition) XXX_Size() int

func (*ModelPipelineRunCondition) XXX_Unmarshal 

func (m *ModelPipelineRunCondition) XXX_Unmarshal(b []byte) error

type ModelPipelineRunList 

type ModelPipelineRunList struct {
	metav1.TypeMeta `json:",inline"`
	metav1.ListMeta `json:"metadata,omitempty" protobuf:"bytes,1,opt,name=metadata"`
	Items           []ModelPipelineRun `json:"items" protobuf:"bytes,2,rep,name=items"`
}

+kubebuilder:object:root=true ModelPipelineRunList represent list of pipelineruns

func (*ModelPipelineRunList) DeepCopy 

func (in *ModelPipelineRunList) DeepCopy() *ModelPipelineRunList

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelPipelineRunList.

func (*ModelPipelineRunList) DeepCopyInto 

func (in *ModelPipelineRunList) DeepCopyInto(out *ModelPipelineRunList)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelPipelineRunList) DeepCopyObject 

func (in *ModelPipelineRunList) DeepCopyObject() runtime.Object

DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object.

func (*ModelPipelineRunList) Descriptor 

func (*ModelPipelineRunList) Descriptor() ([]byte, []int)

func (*ModelPipelineRunList) Marshal 

func (m *ModelPipelineRunList) Marshal() (dAtA []byte, err error)

func (*ModelPipelineRunList) MarshalTo 

func (m *ModelPipelineRunList) MarshalTo(dAtA []byte) (int, error)

func (*ModelPipelineRunList) MarshalToSizedBuffer 

func (m *ModelPipelineRunList) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelPipelineRunList) ProtoMessage 

func (*ModelPipelineRunList) ProtoMessage()

func (*ModelPipelineRunList) Reset 

func (m *ModelPipelineRunList) Reset()

func (*ModelPipelineRunList) Size 

func (m *ModelPipelineRunList) Size() (n int)

func (*ModelPipelineRunList) String 

func (this *ModelPipelineRunList) String() string

func (*ModelPipelineRunList) Unmarshal 

func (m *ModelPipelineRunList) Unmarshal(dAtA []byte) error

func (*ModelPipelineRunList) XXX_DiscardUnknown 

func (m *ModelPipelineRunList) XXX_DiscardUnknown()

func (*ModelPipelineRunList) XXX_Marshal 

func (m *ModelPipelineRunList) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelPipelineRunList) XXX_Merge 

func (m *ModelPipelineRunList) XXX_Merge(src proto.Message)

func (*ModelPipelineRunList) XXX_Size 

func (m *ModelPipelineRunList) XXX_Size() int

func (*ModelPipelineRunList) XXX_Unmarshal 

func (m *ModelPipelineRunList) XXX_Unmarshal(b []byte) error

type ModelPipelineRunSpec 

type ModelPipelineRunSpec struct {
	// VersionName is the data product version of the run
	// +kubebuilder:default:=""
	// +kubebuilder:validation:Optional
	VersionName *string `json:"versionName,omitempty" protobuf:"bytes,1,opt,name=versionName"`
	// Description is the user provided description
	// +kubebuilder:default:=""
	// +kubebuilder:validation:Optional
	Description *string `json:"description,omitempty" protobuf:"bytes,2,opt,name=description"`
	// DatasetName is the name of the dataset that we trained on.
	// +kubebuilder:default:=""
	// +kubebuilder:validation:Optional
	Dataset *string `json:"datasetName,omitempty" protobuf:"bytes,3,opt,name=datasetName"`
	// PipelineName is the name of the ModelPipeline for this pipeline
	// +kubebuilder:default:=""
	// +kubebuilder:validation:Optional
	PipelineName *string `json:"pipelineName,omitempty" protobuf:"bytes,4,opt,name=pipelineName"`
	// The owner of the run.
	// +kubebuilder:default:="no-one"
	// +kubebuilder:validation:Optional
	Owner *string `json:"owner,omitempty" protobuf:"bytes,5,opt,name=owner"`
	// The priority of this pipeline run. The default is medium.
	// +kubebuilder:default:=medium
	// +kubebuilder:validation:Optional
	Priority *catalog.PriorityLevel `json:"priority,omitempty" protobuf:"bytes,6,opt,name=priority"`
	// Set to true to pause the model pipeline run
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Paused *bool `json:"paused,omitempty" protobuf:"varint,7,opt,name=paused"`
	// Set to true to abort the model pipeline run
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Aborted *bool `json:"aborted,omitempty" protobuf:"varint,8,opt,name=aborted"`
	// TTL.
	// +kubebuilder:default:=0
	// +kubebuilder:validation:Optional
	TTL *int32 `json:"ttl,omitempty" protobuf:"varint,9,opt,name=ttl"`
}

ModelPipelineRunSpec is the desired state of the ModelPipelineRun resource

func (*ModelPipelineRunSpec) DeepCopy 

func (in *ModelPipelineRunSpec) DeepCopy() *ModelPipelineRunSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelPipelineRunSpec.

func (*ModelPipelineRunSpec) DeepCopyInto 

func (in *ModelPipelineRunSpec) DeepCopyInto(out *ModelPipelineRunSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelPipelineRunSpec) Descriptor 

func (*ModelPipelineRunSpec) Descriptor() ([]byte, []int)

func (*ModelPipelineRunSpec) Marshal 

func (m *ModelPipelineRunSpec) Marshal() (dAtA []byte, err error)

func (*ModelPipelineRunSpec) MarshalTo 

func (m *ModelPipelineRunSpec) MarshalTo(dAtA []byte) (int, error)

func (*ModelPipelineRunSpec) MarshalToSizedBuffer 

func (m *ModelPipelineRunSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelPipelineRunSpec) ProtoMessage 

func (*ModelPipelineRunSpec) ProtoMessage()

func (*ModelPipelineRunSpec) Reset 

func (m *ModelPipelineRunSpec) Reset()

func (*ModelPipelineRunSpec) Size 

func (m *ModelPipelineRunSpec) Size() (n int)

func (*ModelPipelineRunSpec) String 

func (this *ModelPipelineRunSpec) String() string

func (*ModelPipelineRunSpec) Unmarshal 

func (m *ModelPipelineRunSpec) Unmarshal(dAtA []byte) error

func (*ModelPipelineRunSpec) XXX_DiscardUnknown 

func (m *ModelPipelineRunSpec) XXX_DiscardUnknown()

func (*ModelPipelineRunSpec) XXX_Marshal 

func (m *ModelPipelineRunSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelPipelineRunSpec) XXX_Merge 

func (m *ModelPipelineRunSpec) XXX_Merge(src proto.Message)

func (*ModelPipelineRunSpec) XXX_Size 

func (m *ModelPipelineRunSpec) XXX_Size() int

func (*ModelPipelineRunSpec) XXX_Unmarshal 

func (m *ModelPipelineRunSpec) XXX_Unmarshal(b []byte) error

type ModelPipelineRunStatus 

type ModelPipelineRunStatus struct {
	// The current stage of the pipeline
	//+kubebuilder:validation:Optional
	Stage ModelPipelineStage `json:"stage,omitempty" protobuf:"bytes,1,opt,name=stage"`
	// The name of the dataset that was captured by the label filter.
	//+kubebuilder:validation:Optional
	DatasetName string `json:"datasetName,omitempty" protobuf:"bytes,2,opt,name=datasetName"`
	// The name of the study generated.
	//+kubebuilder:validation:Optional
	StudyName string `json:"studyName,omitempty" protobuf:"bytes,3,opt,name=studyName"`
	// The name of the best model
	//+kubebuilder:validation:Optional
	ModelName string `json:"modelName,omitempty" protobuf:"bytes,4,opt,name=modelName"`
	// DataStatus is the status of the data stage
	// data is the status for the data stage.
	//+kubebuilder:validation:Optional
	Data ModelStageStatus `json:"data,omitempty" protobuf:"bytes,5,opt,name=data"`
	// TrainingStatus is the status for the training stage
	// +kubebuilder:validation:Optional
	Training ModelStageStatus `json:"training,omitempty" protobuf:"bytes,6,opt,name=training"`
	// UATStatus is the status of the uat stage
	//+kubebuilder:validation:Optional
	UAT ModelStageStatus `json:"uat,omitempty" protobuf:"bytes,7,opt,name=uat"`
	// CapacityStatus is the status for the capacity stage.
	//+kubebuilder:validation:Optional
	Capacity ModelStageStatus `json:"capacity,omitempty" protobuf:"bytes,8,opt,name=capacity"`
	// DeploymentStatus is the status for the prod stage
	//+kubebuilder:validation:Optional
	Deployment ModelStageStatus `json:"deployment,omitempty" protobuf:"bytes,9,opt,name=deployment"`
	// DeploymentStatus is the status for the prod stage
	//+kubebuilder:validation:Optional
	Release ModelStageStatus `json:"release,omitempty" protobuf:"bytes,10,opt,name=release"`
	// Monitoring status is the status of the monitor phase.
	//+kubebuilder:validation:Optional
	Monitor ModelStageStatus `json:"monitor,omitempty" protobuf:"bytes,11,opt,name=monitor"`
	// Labeling status if the status of the labeling process
	//+kubebuilder:validation:Optional
	Labeling ModelStageStatus `json:"labeling,omitempty" protobuf:"bytes,12,opt,name=labeling"`
	// +kubebuilder:validation:Optional
	StartTime *metav1.Time `json:"startTime,omitempty" protobuf:"bytes,13,opt,name=startTime"`
	// +kubebuilder:validation:Optional
	EndTime *metav1.Time `json:"endTime,omitempty" protobuf:"bytes,14,opt,name=endTime"`
	// The phase of the pipeline run
	// +kubebuilder:default:="Pending"
	// +kubebuilder:validation:Optional
	Phase PipelinePhase `json:"phase" protobuf:"bytes,15,opt,name=phase"`
	// ObservedGeneration is the Last generation that was acted on
	//+kubebuilder:validation:Optional
	ObservedGeneration int64 `json:"observedGeneration,omitempty" protobuf:"varint,16,opt,name=observedGeneration"`
	// Folder for pipeline run artifacts. This is assigned by the system
	// The folder contains all the pipeline artifacts - metadata, logs
	// +kubebuilder:validation:Optional
	Folder string `json:"folder,omitempty" protobuf:"bytes,17,opt,name=evalMetrics"`
	// Update in case of terminal failure
	// Borrowed from cluster api controller
	//+kubebuilder:validation:Optional
	FailureReason *catalog.StatusError `json:"failureReason,omitempty" protobuf:"bytes,18,opt,name=failureReason"`
	// Update in case of terminal failure message
	//+kubebuilder:validation:Optional
	FailureMessage *string `json:"failureMessage,omitempty" protobuf:"bytes,19,opt,name=failureMessage"`
	// Pipeline progress Progress in percent, the progress takes into account the different stages of the pipeline
	// +kubebuilder:validation:Optional
	Progress *int32 `json:"progress" protobuf:"varint,20,opt,name=progress"`
	// What triggered the run
	//+kubebuilder:validation:Optional
	TriggeredBy catalog.TriggerType `json:"triggeredBy,omitempty" protobuf:"bytes,21,opt,name=triggeredBy"`

	// Last time the object was updated
	//+kubebuilder:validation:Optional
	LastUpdated *metav1.Time `json:"lastUpdated,omitempty" protobuf:"bytes,22,opt,name=lastUpdated"`

	// The log file specification that determines the location of all logs produced by the object
	Logs catalog.Logs `json:"logs" protobuf:"bytes,23,opt,name=logs"`
	// +patchMergeKey=type
	// +patchStrategy=merge
	// +kubebuilder:validation:Optional
	Conditions []ModelPipelineRunCondition `json:"conditions,omitempty" protobuf:"bytes,24,rep,name=conditions"`
}

ModelPipelineRunStatus is the observed state of the ModelPipelineRun resource .

func (*ModelPipelineRunStatus) DeepCopy 

func (in *ModelPipelineRunStatus) DeepCopy() *ModelPipelineRunStatus

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelPipelineRunStatus.

func (*ModelPipelineRunStatus) DeepCopyInto 

func (in *ModelPipelineRunStatus) DeepCopyInto(out *ModelPipelineRunStatus)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelPipelineRunStatus) Descriptor 

func (*ModelPipelineRunStatus) Descriptor() ([]byte, []int)

func (*ModelPipelineRunStatus) Marshal 

func (m *ModelPipelineRunStatus) Marshal() (dAtA []byte, err error)

func (*ModelPipelineRunStatus) MarshalTo 

func (m *ModelPipelineRunStatus) MarshalTo(dAtA []byte) (int, error)

func (*ModelPipelineRunStatus) MarshalToSizedBuffer 

func (m *ModelPipelineRunStatus) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelPipelineRunStatus) ProtoMessage 

func (*ModelPipelineRunStatus) ProtoMessage()

func (*ModelPipelineRunStatus) Reset 

func (m *ModelPipelineRunStatus) Reset()

func (*ModelPipelineRunStatus) Size 

func (m *ModelPipelineRunStatus) Size() (n int)

func (*ModelPipelineRunStatus) String 

func (this *ModelPipelineRunStatus) String() string

func (*ModelPipelineRunStatus) Unmarshal 

func (m *ModelPipelineRunStatus) Unmarshal(dAtA []byte) error

func (*ModelPipelineRunStatus) XXX_DiscardUnknown 

func (m *ModelPipelineRunStatus) XXX_DiscardUnknown()

func (*ModelPipelineRunStatus) XXX_Marshal 

func (m *ModelPipelineRunStatus) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelPipelineRunStatus) XXX_Merge 

func (m *ModelPipelineRunStatus) XXX_Merge(src proto.Message)

func (*ModelPipelineRunStatus) XXX_Size 

func (m *ModelPipelineRunStatus) XXX_Size() int

func (*ModelPipelineRunStatus) XXX_Unmarshal 

func (m *ModelPipelineRunStatus) XXX_Unmarshal(b []byte) error

type ModelPipelineSpec 

type ModelPipelineSpec struct {
	// The product version of the resource
	// +kubebuilder:default ="latest"
	// +kubebuilder:validation:Optional
	VersionName *string `json:"versionName,omitempty" protobuf:"bytes,1,opt,name=versionName"`

	// The model class for this pipeline
	// +kubebuilder:validation:Optional
	ModelClassName *string `json:"modelClassName,omitempty" protobuf:"bytes,2,opt,name=modelClassName"`

	// User provided description
	// +kubebuilder:default =""
	// +kubebuilder:validation:Optional
	Description *string `json:"description,omitempty" protobuf:"bytes,3,opt,name=description"`
	// DatasetSelector is used to select dataset for training
	// +kubebuilder:validation:Optional
	DatasetSelector map[string]string `json:"datasetSelector,omitempty" protobuf:"bytes,4,opt,name=datasetSelector"`
	// Datastage build new dataset from the data sources.
	// +kubebuilder:validation:Optional
	Data *DataStageSpec `json:"data,omitempty" protobuf:"bytes,5,opt,name=data"`
	// TrainingSpec stage
	// +kubebuilder:validation:Optional
	Training TrainingStageSpec `json:"training,omitempty" protobuf:"bytes,6,opt,name=training"`
	// Acceptance stage is used for further testing
	// +kubebuilder:validation:Optional
	UAT *UATStageSpec `json:"uat,omitempty" protobuf:"bytes,7,opt,name=uat"`
	// Capacity stage for capacity
	// +kubebuilder:validation:Optional
	Capacity CapacityStageSpec `json:"capacity,omitempty" protobuf:"bytes,8,opt,name=capacity"`
	// Deployment stage define how to place the model into production.
	// +kubebuilder:validation:Optional
	Deployment DeploymentStageSpec `json:"deployment,omitempty" protobuf:"bytes,9,opt,name=deployment"`
	// Deployment stage define how to place the model into production.
	// +kubebuilder:validation:Optional
	Release ReleaseStageSpec `json:"release,omitempty" protobuf:"bytes,10,opt,name=release"`
	// Schedule for running the pipeline
	// +kubebuilder:validation:Optional
	Schedule catalog.RunSchedule `json:"schedule,omitempty" protobuf:"bytes,12,opt,name=schedule"`
	// The owner of the run, set to the owner of the pipeline
	// +kubebuilder:default:="no-one"
	// +kubebuilder:validation:Pattern="[a-z0-9]([-a-z0-9]*[a-z0-9])?(\\.[a-z0-9]([-a-z0-9]*[a-z0-9])?)*"
	// +kubebuilder:validation:Optional
	Owner *string `json:"owner,omitempty" protobuf:"bytes,13,opt,name=owner"`
	// ApproverAccountName is the name of the approver for stages that need approvals.
	// +kubebuilder:default =""
	// +kubebuilder:validation:Optional
	ApproverAccountName *string `json:"approverAccountName,omitempty" protobuf:"bytes,14,opt,name=approverAccountName"`
	// Notification specification.
	//+kubebuilder:validation:Optional
	Notification catalog.NotificationSpec `json:"notification,omitempty" protobuf:"bytes,15,opt,name=notification"`
	// BaselineModelName is the name of the model which is used to compare with this pipeline results.
	// +kubebuilder:default =""
	// +kubebuilder:validation:Optional
	BaselineModelName *string `json:"baselineModelName,omitempty" protobuf:"bytes,16,opt,name=baselineModelName"`
	// The priority of this pipeline. The default is medium.
	// +kubebuilder:default:="medium"
	// +kubebuilder:validation:Optional
	Priority *catalog.PriorityLevel `json:"priority,omitempty" protobuf:"bytes,17,opt,name=priority"`
	// Pause the pipeline cron job.
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Paused *bool `json:"paused,omitempty" protobuf:"varint,18,opt,name=paused"`
}

ModelPipelineSpec define the desired state of the ModelPipeline resource.

func (*ModelPipelineSpec) DeepCopy 

func (in *ModelPipelineSpec) DeepCopy() *ModelPipelineSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelPipelineSpec.

func (*ModelPipelineSpec) DeepCopyInto 

func (in *ModelPipelineSpec) DeepCopyInto(out *ModelPipelineSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelPipelineSpec) Descriptor 

func (*ModelPipelineSpec) Descriptor() ([]byte, []int)

func (*ModelPipelineSpec) Marshal 

func (m *ModelPipelineSpec) Marshal() (dAtA []byte, err error)

func (*ModelPipelineSpec) MarshalTo 

func (m *ModelPipelineSpec) MarshalTo(dAtA []byte) (int, error)

func (*ModelPipelineSpec) MarshalToSizedBuffer 

func (m *ModelPipelineSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelPipelineSpec) ProtoMessage 

func (*ModelPipelineSpec) ProtoMessage()

func (*ModelPipelineSpec) Reset 

func (m *ModelPipelineSpec) Reset()

func (*ModelPipelineSpec) Size 

func (m *ModelPipelineSpec) Size() (n int)

func (*ModelPipelineSpec) String 

func (this *ModelPipelineSpec) String() string

func (*ModelPipelineSpec) Unmarshal 

func (m *ModelPipelineSpec) Unmarshal(dAtA []byte) error

func (*ModelPipelineSpec) XXX_DiscardUnknown 

func (m *ModelPipelineSpec) XXX_DiscardUnknown()

func (*ModelPipelineSpec) XXX_Marshal 

func (m *ModelPipelineSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelPipelineSpec) XXX_Merge 

func (m *ModelPipelineSpec) XXX_Merge(src proto.Message)

func (*ModelPipelineSpec) XXX_Size 

func (m *ModelPipelineSpec) XXX_Size() int

func (*ModelPipelineSpec) XXX_Unmarshal 

func (m *ModelPipelineSpec) XXX_Unmarshal(b []byte) error

type ModelPipelineStage 

type ModelPipelineStage string
const (
	ModelPipelineStageInitial    ModelPipelineStage = "initial"
	ModelPipelineStageData       ModelPipelineStage = "data"
	ModelPipelineStageTraining   ModelPipelineStage = "training"
	ModelPipelineStageUAT        ModelPipelineStage = "uat"
	ModelPipelineStageCapacity   ModelPipelineStage = "capacity"
	ModelPipelineStageProd       ModelPipelineStage = "prod"
	ModelPipelineStageMonitoring ModelPipelineStage = "monitoring"
	ModelPipelineStageLabeling   ModelPipelineStage = "labeling"
)

type ModelPipelineStatus 

type ModelPipelineStatus struct {
	// Last run is the last time a model pipeline run was created
	//+kubebuilder:validation:Optional
	LastRun catalog.LastRunStatus `json:"lastRun,omitempty" protobuf:"bytes,1,opt,name=lastRun"`
	// The time of the next schedule run
	//+kubebuilder:validation:Optional
	NextRun *metav1.Time `json:"nextRun,omitempty" protobuf:"bytes,2,opt,name=nextRun"`
	// ObservedGeneration is the Last generation that was acted on
	//+kubebuilder:validation:Optional
	ObservedGeneration int64 `json:"observedGeneration,omitempty" protobuf:"varint,3,opt,name=observedGeneration"`
	// Last time the object was updated
	//+kubebuilder:validation:Optional
	LastUpdated *metav1.Time `json:"lastUpdated,omitempty" protobuf:"bytes,4,opt,name=lastUpdated"`
	// Update in case of terminal failure
	// Borrowed from cluster api controller
	//+kubebuilder:validation:Optional
	FailureReason *catalog.StatusError `json:"failureReason,omitempty" protobuf:"bytes,5,opt,name=failureReason"`
	// Update in case of terminal failure message
	//+kubebuilder:validation:Optional
	FailureMessage *string `json:"failureMessage,omitempty" protobuf:"bytes,6,opt,name=failureMessage"`
	// +patchMergeKey=type
	// +patchStrategy=merge
	// +kubebuilder:validation:Optional
	Conditions []ModelPipelineCondition `json:"conditions,omitempty" protobuf:"bytes,7,rep,name=conditions"`
}

ModelPipelineStatus define the observed state of the pipeline

func (*ModelPipelineStatus) DeepCopy 

func (in *ModelPipelineStatus) DeepCopy() *ModelPipelineStatus

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelPipelineStatus.

func (*ModelPipelineStatus) DeepCopyInto 

func (in *ModelPipelineStatus) DeepCopyInto(out *ModelPipelineStatus)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelPipelineStatus) Descriptor 

func (*ModelPipelineStatus) Descriptor() ([]byte, []int)

func (*ModelPipelineStatus) Marshal 

func (m *ModelPipelineStatus) Marshal() (dAtA []byte, err error)

func (*ModelPipelineStatus) MarshalTo 

func (m *ModelPipelineStatus) MarshalTo(dAtA []byte) (int, error)

func (*ModelPipelineStatus) MarshalToSizedBuffer 

func (m *ModelPipelineStatus) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelPipelineStatus) ProtoMessage 

func (*ModelPipelineStatus) ProtoMessage()

func (*ModelPipelineStatus) Reset 

func (m *ModelPipelineStatus) Reset()

func (*ModelPipelineStatus) Size 

func (m *ModelPipelineStatus) Size() (n int)

func (*ModelPipelineStatus) String 

func (this *ModelPipelineStatus) String() string

func (*ModelPipelineStatus) Unmarshal 

func (m *ModelPipelineStatus) Unmarshal(dAtA []byte) error

func (*ModelPipelineStatus) XXX_DiscardUnknown 

func (m *ModelPipelineStatus) XXX_DiscardUnknown()

func (*ModelPipelineStatus) XXX_Marshal 

func (m *ModelPipelineStatus) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelPipelineStatus) XXX_Merge 

func (m *ModelPipelineStatus) XXX_Merge(src proto.Message)

func (*ModelPipelineStatus) XXX_Size 

func (m *ModelPipelineStatus) XXX_Size() int

func (*ModelPipelineStatus) XXX_Unmarshal 

func (m *ModelPipelineStatus) XXX_Unmarshal(b []byte) error

type ModelResult 

type ModelResult struct {
	// The name of the model
	// +kubebuilder:validation:Optional
	Name string `json:"name" protobuf:"bytes,1,opt,name=name"`
	// The type of estimator of the model
	// +kubebuilder:validation:Optional
	Alg string `json:"alg,omitempty" protobuf:"bytes,2,opt,name=alg"`
	// The objective score of the model
	// +kubebuilder:validation:Optional
	Score float64 `json:"score,omitempty" protobuf:"bytes,3,opt,name=score"`
	// Indicates if the model experience an error whilst training
	// +kubebuilder:validation:Optional
	Error bool `json:"error,omitempty" protobuf:"varint,4,opt,name=error"`
	// The optimizer trial ID of the model
	// +kubebuilder:validation:Optional
	TrialID int32 `json:"trialID,omitempty" protobuf:"varint,5,opt,name=trialID"`
}

ModelResult contains the records of a single garbage-collected model

func (*ModelResult) DeepCopy 

func (in *ModelResult) DeepCopy() *ModelResult

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelResult.

func (*ModelResult) DeepCopyInto 

func (in *ModelResult) DeepCopyInto(out *ModelResult)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelResult) Descriptor 

func (*ModelResult) Descriptor() ([]byte, []int)

func (*ModelResult) Marshal 

func (m *ModelResult) Marshal() (dAtA []byte, err error)

func (*ModelResult) MarshalTo 

func (m *ModelResult) MarshalTo(dAtA []byte) (int, error)

func (*ModelResult) MarshalToSizedBuffer 

func (m *ModelResult) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelResult) ProtoMessage 

func (*ModelResult) ProtoMessage()

func (*ModelResult) Reset 

func (m *ModelResult) Reset()

func (*ModelResult) Size 

func (m *ModelResult) Size() (n int)

func (*ModelResult) String 

func (this *ModelResult) String() string

func (*ModelResult) Unmarshal 

func (m *ModelResult) Unmarshal(dAtA []byte) error

func (*ModelResult) XXX_DiscardUnknown 

func (m *ModelResult) XXX_DiscardUnknown()

func (*ModelResult) XXX_Marshal 

func (m *ModelResult) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelResult) XXX_Merge 

func (m *ModelResult) XXX_Merge(src proto.Message)

func (*ModelResult) XXX_Size 

func (m *ModelResult) XXX_Size() int

func (*ModelResult) XXX_Unmarshal 

func (m *ModelResult) XXX_Unmarshal(b []byte) error

type ModelSpec 

type ModelSpec struct {
	// The Account which owns the the Study that created the Model
	// +kubebuilder:default:="no-one"
	// +kubebuilder:validation:Optional
	Owner *string `json:"owner,omitempty" protobuf:"bytes,1,opt,name=owner"`
	// The name of the DataProductVersion which describes the version of the resource
	// that exists in the same DataProduct namespace as the resource, derived from the parent Study
	// +kubebuilder:validation:Required
	// +kubebuilder:default:="latest"
	// +kubebuilder:validation:MaxLength=63
	// +required
	VersionName *string `json:"versionName,omitempty" protobuf:"bytes,2,opt,name=versionName"`
	// The model class for this model
	// +kubebuilder:validation:Optional
	ModelClassName *string `json:"modelClassName,omitempty" protobuf:"bytes,3,opt,name=modelClassName"`
	// The user-assigned version of the Model, derived from the parent Study
	// +kubebuilder:default:=""
	ModelVersion *string `json:"modelVersion,omitempty" protobuf:"bytes,4,opt,name=modelVersion"`
	// The name of the Study which created the Model. If empty, the Model will be trained as a stand-alone model
	// +kubebuilder:validation:Required
	// +kubebuilder:validation:MaxLength=63
	// +required
	StudyName *string `json:"studyName,omitempty" protobuf:"bytes,5,opt,name=studyName"`
	// The name of the Entity resource which the Model is being trained with
	// +kubebuilder:validation:Required
	// +kubebuilder:validation:MaxLength=63
	// +required
	DatasetName *string `json:"datasetName,omitempty" protobuf:"bytes,6,opt,name=datasetName"`
	// The machine learning task type of the Model (i.e. regression, classification), derived from the parent Study
	// +kubebuilder:validation:Required
	// +required
	Task *catalog.MLTask `json:"task,omitempty" protobuf:"bytes,7,opt,name=task"`
	// The sub task
	// +kubebuilder:default:="none"
	// +kubebuilder:validation:Optional
	SubTask *catalog.MLSubtask `json:"subtask,omitempty" protobuf:"bytes,8,opt,name=subtask"`
	// The objective metric that will be used to evaluate the performance of the model
	// +kubebuilder:validation:Required
	// +required
	Objective *catalog.Metric `json:"objective,omitempty" protobuf:"bytes,9,opt,name=objective"`
	// FeatureEngineering specifies the preprocessing pipelines that will be applied to the model prior to training.
	// By default, feature engineering is generated automatically by sampling different pipelines in competition
	// +kubebuilder:validation:Optional
	FeatureEngineering FeatureEngineeringSpec `json:"featureEngineering,omitempty" protobuf:"bytes,10,opt,name=featureEngineering"`
	// Estimator specifies the machine learning algorithm and hyper-parameters of the Model
	// +kubebuilder:validation:Optional
	Estimator *ClassicalEstimatorSpec `json:"estimator,omitempty" protobuf:"bytes,11,opt,name=estimator"`
	// Dnn specifies the estimator for a neural network (currently unimplemented)
	// +kubebuilder:validation:Optional
	Dnn *DeepEstimatorSpec `json:"dnn,omitempty" protobuf:"bytes,12,opt,name=dnn"`
	// Chatbot specifies the estimator for a chatbot model (currently unimplemented)
	// +kubebuilder:validation:Optional
	Chatbot *ChatbotEstimatorSpec `json:"chatbot,omitempty" protobuf:"bytes,13,opt,name=chatbot"`
	// NLPEstimator specifies the estimator for a deep NLP model (currently unimplemented)
	// +kubebuilder:validation:Optional
	NLPEstimator *NLPEstimatorSpec `json:"nplEstimator,omitempty" protobuf:"bytes,14,opt,name=nlpEstimator"`
	// Ensemble specifies the configuration to create an ensemble model
	// +kubebuilder:validation:Optional
	Ensemble EnsembleSpec `json:"ensemble,omitempty" protobuf:"bytes,15,opt,name=ensemble"`
	// TrainingSpec specifies the configuration to prepare and train a model
	// +kubebuilder:validation:Optional
	Training TrainingSpec `json:"training,omitempty" protobuf:"bytes,16,opt,name=training"`
	// ServingSpec defines the resource requirements that will be applied to a Predictor
	// that will be created if the model is set to be released
	// +kubebuilder:validation:Optional
	Serving ServingSpec `json:"serving,omitempty" protobuf:"bytes,17,opt,name=serving"`
	// Tested indicates if a workload will be instantiated to test the model. The Study resource controller
	// will automatically set this field if the Model was found to be the highest-performing
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Tested *bool `json:"tested,omitempty" protobuf:"varint,18,opt,name=tested"`
	// Aborted indicates if any workloads associated with the Model should stop execution
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Aborted *bool `json:"aborted,omitempty" protobuf:"varint,19,opt,name=aborted"`
	// Packaged indicates if the Model should be packaged into tarbell
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Packaged *bool `json:"packaged,omitempty" protobuf:"varint,20,opt,name=packaged"`
	// Published indicates that the Model should be baked into a Docker image
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Published *bool `json:"published,omitempty" protobuf:"varint,21,opt,name=published"`
	// Pushed indicates that the Model image should be pushed to a Docker image registry
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Pushed *bool `json:"pushed,omitempty" protobuf:"varint,22,opt,name=pushed"`
	// Reported indicates that a Report will be generated for the Model
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Reported *bool `json:"reported,omitempty" protobuf:"varint,23,opt,name=reported"`
	// Paused indicates that the execution of new workloads associated with the Model should be paused
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Paused *bool `json:"paused,omitempty" protobuf:"varint,24,opt,name=paused"`
	// Profiled indicates that the Model will be profiled
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Profiled *bool `json:"profiled,omitempty" protobuf:"varint,25,opt,name=profiled"`
	// Archived indicates that the Model should be archived in long-term storage
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Archived *bool `json:"archived,omitempty" protobuf:"varint,26,opt,name=archived"`
	// Forecasted indicates that the Model should perform a forecast
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Forecasted *bool `json:"forecasted,omitempty" protobuf:"varint,27,opt,name=forecasted"`
	// Released indicates that the Model will be deployed within Predictor
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Released *bool `json:"released,omitempty" protobuf:"varint,28,opt,name=released"`
	// Registered indicate if this model is registered with the model registry.
	// A registred model cannot be garbage collected, and apper in the model registry page.
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Registered *bool `json:"registered,omitempty" protobuf:"varint,29,opt,name=registered"`
	// Perform a prediction at the end of the study. This is for example apply to forecasting.
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Predicted *bool `json:"predict,omitempty" protobuf:"varint,30,opt,name=predict"`
	// If true perform a final search after selecting the best model. to tune only this model.
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Tuned *bool `json:"tuned,omitempty" protobuf:"varint,31,opt,name=tuned"`
	// Explained indicates if a workload to compute SHAP values/diagrams should be executed
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Explained *bool `json:"explained,omitempty" protobuf:"varint,32,opt,name=explained"`
	// Not implemented. For future use. If true,generate code when model trained
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	CodeGenerated *bool `json:"codeGenerated,omitempty" protobuf:"varint,33,opt,name=codeGenerated"`
	// Baseline indicates if the Model was produced by the baseline phase of a Study
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Baseline *bool `json:"baseline,omitempty" protobuf:"varint,34,opt,name=baseline"`
	// GenDriftDetector indicates if we should generate a drift detector model for this model
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	GenDriftDetector *bool `json:"genDriftDetector,omitempty" protobuf:"varint,35,opt,name=genDriftDetector"`
	// Fast indicates if the Model should skip profiling, explaining, and reporting
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Fast *bool `json:"fast,omitempty" protobuf:"varint,36,opt,name=fast"`
	// Indicate if this model should be unit tested.
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	UnitTested *bool `json:"unitTested,omitempty" protobuf:"varint,37,opt,name=unitTested"`
	// The reference to the lated feedback dataset
	// +kubebuilder:validation:Optional
	FeedbackDatasetRef *v1.ObjectReference `json:"feedbackDatasetRef,omitempty" protobuf:"varint,38,opt,name=feedbackDatasetRef"`
	// Indicates if the model is flagged
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Flagged *bool `json:"flagged,omitempty" protobuf:"varint,39,opt,name=flagged"`
	// The data location where artifacts (metadata, reports, and estimators) generated by the Model will be stored
	// +kubebuilder:validation:Optional
	Location *data.DataLocation `json:"location,omitempty" protobuf:"bytes,40,opt,name=location"`
	// Forecasting specifies the configuration to train a forecasting model
	// +kubebuilder:validation:Optional
	Forecasting *ForecasterSpec `json:"forecasting,omitempty" protobuf:"bytes,41,opt,name=forecasting"`
	// Compilation specifies the configuration to compile a model to a binary (currently unimplemented)
	// +kubebuilder:validation:Optional
	Compilation *catalog.CompilerSpec `json:"compilation,omitempty" protobuf:"bytes,42,opt,name=compilation"`
	// The deadline for any Jobs associated with the Model to be completed in seconds
	// +kubebuilder:default:=600
	// +kubebuilder:validation:Optional
	ActiveDeadlineSeconds *int64 `json:"activeDeadlineSeconds,omitempty" protobuf:"varint,43,opt,name=activeDeadlineSeconds"`
	// ModelType is the type of model for this estimator
	// +kubebuilder:default:=classical
	// +kubebuilder:validation:Optional
	EstimatorType *catalog.ModelType `json:"estimatorType,omitempty" protobuf:"bytes,44,opt,name=estimatorType"`
	// The time-to-live of the Model, after which the Model will be archived
	// +kubebuilder:default:=0
	// +kubebuilder:validation:Optional
	TTL *int32 `json:"ttl,omitempty" protobuf:"varint,45,opt,name=ttl"`
	// The model class, which is derived from the phase of the Study that the Model was created for
	// +kubebuilder:validation:Optional
	ModelClass catalog.ModelClassType `json:"modelClass,omitempty" protobuf:"bytes,46,opt,name=modelClass"`
	// The trial ID, which is incremented for each Model produced by the data plane
	// +kubebuilder:default:=0
	// +kubebuilder:validation:Optional
	TrialID *int32 `json:"trialID,omitempty" protobuf:"varint,47,opt,name=trialID"`
	// Governance specifies the model governance requirements (currently unimplemented)
	// +kubebuilder:validation:Optional
	Governance *data.GovernanceSpec `json:"governance,omitempty" protobuf:"bytes,48,opt,name=governance"`
	// Interpretability specifies the configuration to generate model interpretability visualizations
	// +kubebuilder:validation:Optional
	Interpretability InterpretabilitySpec `json:"interpretability,omitempty" protobuf:"bytes,49,opt,name=interpretability"`
	// The set of unit tests for this model.
	// +kubebuilder:validation:Optional
	UnitTests catalog.TestSuite `json:"unitTests,omitempty" protobuf:"bytes,50,opt,name=unitTests"`
	// The set of unit tests to test this models against the feedback.
	// +kubebuilder:validation:Optional
	FeedbackTests catalog.TestSuite `json:"feedbackTests,omitempty" protobuf:"bytes,51,opt,name=feedbackTests"`
	// The set locations in case of group forecasts
	// +kubebuilder:validation:Optional
	GroupLocations GroupModelLocationsSpec `json:"groupLocations,omitempty" protobuf:"bytes,52,opt,name=groupLocations"`
}

ModelSpec defines the desired state of the Model resource

func (*ModelSpec) DeepCopy 

func (in *ModelSpec) DeepCopy() *ModelSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelSpec.

func (*ModelSpec) DeepCopyInto 

func (in *ModelSpec) DeepCopyInto(out *ModelSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelSpec) Descriptor 

func (*ModelSpec) Descriptor() ([]byte, []int)

func (*ModelSpec) Marshal 

func (m *ModelSpec) Marshal() (dAtA []byte, err error)

func (*ModelSpec) MarshalTo 

func (m *ModelSpec) MarshalTo(dAtA []byte) (int, error)

func (*ModelSpec) MarshalToSizedBuffer 

func (m *ModelSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelSpec) ProtoMessage 

func (*ModelSpec) ProtoMessage()

func (*ModelSpec) Reset 

func (m *ModelSpec) Reset()

func (*ModelSpec) Size 

func (m *ModelSpec) Size() (n int)

func (*ModelSpec) String 

func (this *ModelSpec) String() string

func (*ModelSpec) Unmarshal 

func (m *ModelSpec) Unmarshal(dAtA []byte) error

func (*ModelSpec) XXX_DiscardUnknown 

func (m *ModelSpec) XXX_DiscardUnknown()

func (*ModelSpec) XXX_Marshal 

func (m *ModelSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelSpec) XXX_Merge 

func (m *ModelSpec) XXX_Merge(src proto.Message)

func (*ModelSpec) XXX_Size 

func (m *ModelSpec) XXX_Size() int

func (*ModelSpec) XXX_Unmarshal 

func (m *ModelSpec) XXX_Unmarshal(b []byte) error

type ModelStageStatus added in v0.5.272 

type ModelStageStatus struct {
	// Phase is the phase of the stage
	// +kubebuilder:default:="Pending"
	// +kubebuilder:validation:Optional
	Phase StageStatusPhase `json:"phase,omitempty" protobuf:"bytes,1,opt,name=phase"`
	// Approved indicates that the stage is approved.
	// +kubebuilder:validation:Optional
	Approved bool `json:"approved,omitempty" protobuf:"bytes,2,opt,name=approved"`
	// ApprovedBy indicates the account that approve this model.
	// +kubebuilder:validation:Optional
	ApprovedBy string `json:"approvedBy,omitempty" protobuf:"bytes,3,opt,name=approvedBy"`
	// ApprovedAt indicates the time of approval
	// +kubebuilder:validation:Optional
	ApprovedAt *metav1.Time `json:"approvedAt,omitempty" protobuf:"bytes,4,opt,name=approvedAt"`
	// Start time is the start time of the stage
	// +kubebuilder:validation:Optional
	StartTime *metav1.Time `json:"startTime,omitempty" protobuf:"bytes,7,opt,name=startTime"`
	// End time is the end time of the stage.
	// +kubebuilder:validation:Optional
	EndTime *metav1.Time `json:"endTime,omitempty" protobuf:"bytes,8,opt,name=endTime"`
	// Results is the results of running the test datasets against the new model
	// +kubebuilder:validation:Optional
	UnitTestsResult catalog.TestSuiteResult `json:"unitTestsResult,omitempty" protobuf:"bytes,9,opt,name=unitTestsResult"`
	// Error record error.
	//+kubebuilder:validation:Optional
	Error string `json:"error,omitempty" protobuf:"bytes,10,opt,name=error"`
}

func (*ModelStageStatus) DeepCopy added in v0.5.273 

func (in *ModelStageStatus) DeepCopy() *ModelStageStatus

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelStageStatus.

func (*ModelStageStatus) DeepCopyInto added in v0.5.273 

func (in *ModelStageStatus) DeepCopyInto(out *ModelStageStatus)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelStageStatus) Descriptor added in v0.5.272 

func (*ModelStageStatus) Descriptor() ([]byte, []int)

func (*ModelStageStatus) IsCompleted added in v0.5.273 

func (this *ModelStageStatus) IsCompleted() bool

func (*ModelStageStatus) IsFailed added in v0.5.273 

func (this *ModelStageStatus) IsFailed() bool

func (*ModelStageStatus) IsRunning added in v0.5.273 

func (this *ModelStageStatus) IsRunning() bool

func (*ModelStageStatus) MarkApprove added in v0.5.273 

func (this *ModelStageStatus) MarkApprove(name string)

func (*ModelStageStatus) MarkCompleted added in v0.5.273 

func (this *ModelStageStatus) MarkCompleted()

func (*ModelStageStatus) MarkDeny added in v0.5.273 

func (this *ModelStageStatus) MarkDeny(name string)

func (*ModelStageStatus) MarkFailed added in v0.5.273 

func (this *ModelStageStatus) MarkFailed(err error)

func (*ModelStageStatus) MarkRunning added in v0.5.273 

func (this *ModelStageStatus) MarkRunning()

func (*ModelStageStatus) Marshal added in v0.5.272 

func (m *ModelStageStatus) Marshal() (dAtA []byte, err error)

func (*ModelStageStatus) MarshalTo added in v0.5.272 

func (m *ModelStageStatus) MarshalTo(dAtA []byte) (int, error)

func (*ModelStageStatus) MarshalToSizedBuffer added in v0.5.272 

func (m *ModelStageStatus) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelStageStatus) ProtoMessage added in v0.5.272 

func (*ModelStageStatus) ProtoMessage()

func (*ModelStageStatus) RecordFailed added in v0.5.273 

func (this *ModelStageStatus) RecordFailed()

func (*ModelStageStatus) Reset added in v0.5.272 

func (m *ModelStageStatus) Reset()

func (*ModelStageStatus) Size added in v0.5.272 

func (m *ModelStageStatus) Size() (n int)

func (*ModelStageStatus) String added in v0.5.272 

func (this *ModelStageStatus) String() string

func (*ModelStageStatus) Unmarshal added in v0.5.272 

func (m *ModelStageStatus) Unmarshal(dAtA []byte) error

func (*ModelStageStatus) XXX_DiscardUnknown added in v0.5.272 

func (m *ModelStageStatus) XXX_DiscardUnknown()

func (*ModelStageStatus) XXX_Marshal added in v0.5.272 

func (m *ModelStageStatus) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelStageStatus) XXX_Merge added in v0.5.272 

func (m *ModelStageStatus) XXX_Merge(src proto.Message)

func (*ModelStageStatus) XXX_Size added in v0.5.272 

func (m *ModelStageStatus) XXX_Size() int

func (*ModelStageStatus) XXX_Unmarshal added in v0.5.272 

func (m *ModelStageStatus) XXX_Unmarshal(b []byte) error

type ModelStatus 

type ModelStatus struct {
	// StartTime represents the time at which the execution of the Model started
	// +kubebuilder:validation:Optional
	StartTime *metav1.Time `json:"startTime,omitempty" protobuf:"bytes,1,opt,name=startTime"`
	// TrainStartTime represents the time at which the Model started training
	// +kubebuilder:validation:Optional
	TrainingStartTime *metav1.Time `json:"trainingStartTime,omitempty" protobuf:"bytes,2,opt,name=trainingStartTime"`
	// TrainCompletionTime represents the time at which the Model completed training
	// +kubebuilder:validation:Optional
	TrainingEndTime *metav1.Time `json:"trainingEndTime,omitempty" protobuf:"bytes,3,opt,name=trainingEndTime"`
	// TestingStartTime represents the time at which the Model started testing
	// +kubebuilder:validation:Optional
	TestingStartTime *metav1.Time `json:"testingStartTime,omitempty" protobuf:"bytes,4,opt,name=testingStartTime"`
	// TestingEndTime represents the time at which the Model completed testing
	// +kubebuilder:validation:Optional
	TestingEndTime *metav1.Time `json:"testingEndTime,omitempty" protobuf:"bytes,5,opt,name=testingEndTime"`
	// TuningStartTime represents the time at which the Model started testing
	// +kubebuilder:validation:Optional
	TuningStartTime *metav1.Time `json:"tuningStartTime,omitempty" protobuf:"bytes,6,opt,name=tuningStartTime"`
	// TuningEndTime represents the time at which the Model completed testing
	// +kubebuilder:validation:Optional
	TuningEndTime *metav1.Time `json:"tuningEndTime,omitempty" protobuf:"bytes,7,opt,name=tuningEndTime"`
	// EndTime represents the time at which the Model was marked as ready, failed, or aborted
	// +kubebuilder:validation:Optional
	EndTime *metav1.Time `json:"endTime,omitempty" protobuf:"bytes,8,opt,name=endTime"`
	// The cross-validation score for the objective metric produced after training
	// +kubebuilder:validation:Optional
	CVScore float64 `json:"cvScore,omitempty" protobuf:"bytes,9,opt,name=cvScore"`
	// The score for the objective metric based on the training dataset
	// +kubebuilder:validation:Optional
	TrainingScore float64 `json:"trainingScore,omitempty" protobuf:"bytes,10,opt,name=trainingScore"`
	// The score for the objective metric based on the testing dataset
	// +kubebuilder:validation:Optional
	TestScore float64 `json:"testScore,omitempty" protobuf:"bytes,11,opt,name=testScore"`
	// Cost is the cost of training the model in the case of a deep-learning model
	// +kubebuilder:validation:Optional
	Cost float64 `json:"cost,omitempty" protobuf:"bytes,12,opt,name=cost"`
	// Best indicates if the Model was found to be the best model produced by a Study
	// +kubebuilder:validation:Optional
	Best bool `json:"best,omitempty" protobuf:"varint,13,opt,name=best"`
	// CV contains the collection of measurements produced by cross-validation
	// on the training dataset or validation on the validation dataset
	// +kubebuilder:validation:Optional
	CV []catalog.Measurement `json:"cv,omitempty" protobuf:"bytes,14,rep,name=cv"`
	// Train contains the collection of measurements produced by validation on the training dataset
	// +kubebuilder:validation:Optional
	Train []catalog.Measurement `json:"train,omitempty" protobuf:"bytes,15,rep,name=train"`
	// Train contains the collection of measurements produced by validation on the testing dataset
	// +kubebuilder:validation:Optional
	Test []catalog.Measurement `json:"test,omitempty" protobuf:"bytes,16,rep,name=test"`
	// Tune contains the collection of measurements produced by validation on the tune dataset
	// +kubebuilder:validation:Optional
	Tune []catalog.Measurement `json:"tune,omitempty" protobuf:"bytes,17,rep,name=tune"`
	// Feedback contain the collection of measurements produced by running dataset
	// +kubebuilder:validation:Optional
	Feedback []catalog.Measurement `json:"feedback,omitempty" protobuf:"bytes,18,rep,name=feedback"`
	// The last feedback dataset
	// +kubebuilder:validation:Optional
	LastFeedbackDatasetRef v1.ObjectReference `json:"lastFeedbackDatasetRef,omitempty" protobuf:"bytes,19,rep,name=lastFeedbackDatasetRef"`
	// The phase of the Model
	// +kubebuilder:default:="Pending"
	// +kubebuilder:validation:Optional
	Phase ModelPhase `json:"phase" protobuf:"bytes,20,opt,name=phase"`
	// The name of the Report resource produced by the Model
	// +kubebuilder:validation:Optional
	ReportName string `json:"reportName,omitempty" protobuf:"bytes,21,opt,name=reportName"`
	// The URI of the Report
	// +kubebuilder:validation:Optional
	ReportUri string `json:"reportUri,omitempty" protobuf:"bytes,22,opt,name=reportUri"`
	// The URI of the Model manifest
	// +kubebuilder:validation:Optional
	ManifestUri string `json:"manifestUri,omitempty" protobuf:"bytes,23,opt,name=manifestUri"`
	// The URI of the model weights binary file
	// +kubebuilder:validation:Optional
	WeightsUri string `json:"weightsUri,omitempty" protobuf:"bytes,24,opt,name=weightsUri"`
	// The URI of the label encoder binary file, if it exists
	// +kubebuilder:validation:Optional
	LabelEncoderUri string `json:"labelEncoderUri,omitempty" protobuf:"bytes,25,opt,name=labelEncoderUri"`
	// The URI of the logs file
	// +kubebuilder:validation:Optional
	LogsUri string `json:"logsUri,omitempty" protobuf:"bytes,26,opt,name=logsUri"`
	// The URI of the model profile, which contains visualizations produced during the profiling phase
	// +kubebuilder:validation:Optional
	ProfileUri string `json:"profileUri" protobuf:"bytes,27,opt,name=profileUri"`
	// The URI to the misclassification file produced during the testing phase
	// +kubebuilder:validation:Optional
	MisclassificationUri string `json:"misclassificationUri" protobuf:"bytes,28,opt,name=misclassificationUri"`
	// The URI to the model tarbell file
	// +kubebuilder:validation:Optional
	TarUri string `json:"tarUri" protobuf:"bytes,29,opt,name=tarUri"`
	// The URI to the model application file
	// +kubebuilder:validation:Optional
	AppUri string `json:"appUri" protobuf:"bytes,30,opt,name=appUri"`
	// The name of the Docker image produced by the Model
	// +kubebuilder:validation:Optional
	ImageName string `json:"imageName" protobuf:"bytes,31,opt,name=imageName"`
	// The collection of features and their importance, sorted by the greatest importance first
	// The collection is measured based on impuriry and uses the native measures by a tree algorithm
	// +kubebuilder:validation:Optional
	ImpurityImportance []FeatureImportance `json:"impurityImportance,,omitempty" protobuf:"bytes,32,rep,name=importance"`
	// The collection of features and their importance, sorted by the greatest importance first
	// The collection is measured using permutation importance
	// +kubebuilder:validation:Optional
	PermutationImportance []FeatureImportance `json:"permutationImportance,omitempty" protobuf:"bytes,33,rep,name=permutationImportance"`
	// The URI of the model forecast
	// +kubebuilder:validation:Optional
	ForecastUri string `json:"forecastUri,omitempty" protobuf:"bytes,34,opt,name=forecastUri"`
	// The runtime training details.
	// +kubebuilder:validation:Optional
	Runtime RuntimeStatus `json:"runtime,omitempty" protobuf:"bytes,35,opt,name=runtime"`
	// TrainDatasetLocation specifies the location of the training dataset
	// +kubebuilder:validation:Optional
	TrainDatasetLocation data.DataLocation `json:"trainDataset,omitempty" protobuf:"bytes,36,opt,name=trainDataset"`
	// TestDatasetLocation specifies the location of the testing dataset
	// +kubebuilder:validation:Optional
	TestDatasetLocation data.DataLocation `json:"testDataset,omitempty" protobuf:"bytes,37,opt,name=testDataset"`
	// ValidationDataset specifies the location of the validation dataset
	// +kubebuilder:validation:Optional
	ValidationDataset data.DataLocation `json:"validationDataset,omitempty" protobuf:"bytes,38,opt,name=validationDataset"`
	// ObservedGeneration is the last generation that was acted on
	//+kubebuilder:validation:Optional
	ObservedGeneration int64 `json:"observedGeneration,omitempty" protobuf:"varint,39,opt,name=observedGeneration"`
	// The number of rows in the training dataset
	// +kubebuilder:validation:Optional
	TrainingRows int32 `json:"trainingRows" protobuf:"varint,40,opt,name=trainingRows"`
	// The number of rows in the testing dataset
	// +kubebuilder:validation:Optional
	TestingRows int32 `json:"testingRows" protobuf:"varint,41,opt,name=testingRows"`
	// The number of rows in the validation dataset, if applicable
	// +kubebuilder:validation:Optional
	ValidationRows int32 `json:"validationRows" protobuf:"varint,42,opt,name=validationRows"`
	// In the case of failure, the Model resource controller will set this field with a failure reason
	//+kubebuilder:validation:Optional
	FailureReason *catalog.StatusError `json:"failureReason,omitempty" protobuf:"bytes,43,opt,name=failureReason"`
	// In the case of failure, the Model resource controller will set this field with a failure message
	//+kubebuilder:validation:Optional
	FailureMessage *string `json:"failureMessage,omitempty" protobuf:"bytes,44,opt,name=failureMessage"`
	// The progress percentage of the Model, which is derived from the Model's current phase
	// +kubebuilder:validation:Optional
	Progress int32 `json:"progress,omitempty" protobuf:"varint,45,opt,name=progress"`
	// The size of the model binary in bytes
	// +kubebuilder:validation:Optional
	SizeInBytes int32 `json:"sizeInBytes,omitempty" protobuf:"varint,46,opt,name=sizeInBytes"`
	// The measured prediction latency
	// +kubebuilder:validation:Optional
	Latency float64 `json:"latency,omitempty" protobuf:"bytes,47,opt,name=latency"`
	// The URL to the released model
	// +kubebuilder:validation:Optional
	URL string `json:"url,omitempty" protobuf:"bytes,48,opt,name=url"`
	// The name of the Predictor in the case that the Model has been released and deployed
	// +kubebuilder:validation:Optional
	PredictorName string `json:"predictorName,omitempty" protobuf:"bytes,49,opt,name=predictorName"`
	// The time at which the Model was set to release
	// +kubebuilder:validation:Optional
	ReleasedAt *metav1.Time `json:"releasedAt,omitempty" protobuf:"bytes,50,opt,name=releasedAt"`
	// The time at which the Model was set to release
	// +kubebuilder:validation:Optional
	PredictedAt *metav1.Time `json:"predictedAt,omitempty" protobuf:"bytes,51,opt,name=predictedAt"`
	// Sha256 of the model tar file
	// +kubebuilder:validation:Optional
	TarFileHash string `json:"tarFileHash,omitempty" protobuf:"bytes,52,opt,name=tarFileHash"`
	// Sha256 of the model image
	// +kubebuilder:validation:Optional
	ImageHash string `json:"imageHash,omitempty" protobuf:"bytes,53,opt,name=imageHash"`
	// TrainingDataHash specifies the hashes for datasets used by the Model
	// +kubebuilder:validation:Optional
	TrainingDataHash DataHashes `json:"trainingDataHash,omitempty" protobuf:"bytes,54,opt,name=trainingDataHash"`
	// TrainingResources details the resources that were consumed by the training workload
	// +kubebuilder:validation:Optional
	TrainingResources ResourceConsumption `json:"trainingResources,omitempty" protobuf:"bytes,55,opt,name=trainingResources"`
	// TestingResources details the resources that were consumed by the testing workload
	// +kubebuilder:validation:Optional
	TestingResources ResourceConsumption `json:"testingResources,omitempty" protobuf:"bytes,56,opt,name=testingResources"`
	// The Account which trained the model, derived from the parent Study
	// +kubebuilder:validation:Optional
	TrainedBy string `json:"trainedBy,omitempty" protobuf:"bytes,57,opt,name=trainedBy"`
	// The team of the Account which trained the model, derived from the parent Study
	// +kubebuilder:validation:Optional
	Team string `json:"team,omitempty" protobuf:"bytes,58,opt,name=team"`
	// The endpoint of the Model, which is set after it is deployed to a Predictor
	// +kubebuilder:validation:Optional
	EndPoint string `json:"endpoint,omitempty" protobuf:"bytes,59,opt,name=endpoint"`
	// Logs specifies the location of logs produced by workloads associated with the Model
	//+kubebuilder:validation:Optional
	Logs catalog.Logs `json:"logs,omitempty" protobuf:"bytes,60,opt,name=logs"`
	// The Roc/Auc curve of the trained model
	// +kubebuilder:validation:Optional
	RocCurve catalog.RocAucCurve `json:"rocCurve,omitempty" protobuf:"bytes,61,opt,name=rocCurve"`
	// The Precision/Recall curve of the trained model
	// +kubebuilder:validation:Optional
	PRCurve catalog.PRCurve `json:"prCurve,omitempty" protobuf:"bytes,62,opt,name=prCurve"`
	// The confusion matrix of the train data.
	// +kubebuilder:validation:Optional
	TrainConfusionMatrix catalog.ConfusionMatrix `json:"trainConfusionMatrix,omitempty" protobuf:"bytes,63,opt,name=trainConfusionMatrix"`
	// The confusion matrix of the test data
	// +kubebuilder:validation:Optional
	TestConfusionMatrix catalog.ConfusionMatrix `json:"testConfusionMatrix,omitempty" protobuf:"bytes,64,opt,name=testConfusionMatrix"`
	// The collection of correlations of the features of the training dataset and the target feature
	// +kubebuilder:validation:Optional
	CorrelationsWithTarget []data.Correlation `json:"correlationsWithTarget,omitempty" protobuf:"bytes,65,rep,name=correlationsWithTarget"`
	// The top correlations between features of the training dataset
	// +kubebuilder:validation:Optional
	TopCorrelations []data.Correlation `json:"topCorrelations,omitempty" protobuf:"bytes,66,rep,name=topCorrelations"`
	// The last time the object was updated
	//+kubebuilder:validation:Optional
	LastUpdated *metav1.Time `json:"lastUpdated,omitempty" protobuf:"bytes,67,opt,name=lastUpdated"`
	// Governance specifies the current governance status for the Model
	// +kubebuilder:validation:Optional
	Governance data.GovernanceStatus `json:"governance,omitempty" protobuf:"bytes,68,opt,name=governance"`
	// Interpretability contains results produced during the explaining phase of the Model
	// +kubebuilder:validation:Optional
	Interpretability InterpretabilityStatus `json:"interpretability,omitempty" protobuf:"bytes,69,opt,name=interpretability"`
	// Images specifies the container images used to train the model
	// +kubebuilder:validation:Optional
	Images catalog.Images `json:"images,omitempty" protobuf:"bytes,70,opt,name=images"`
	// The result of running the unit tests
	// +kubebuilder:validation:Optional
	UnitTestsResult catalog.TestSuiteResult `json:"unitTestsResult,omitempty" protobuf:"bytes,71,opt,name=unitTestsResult"`
	// The result of running the feedback unit tests, the feedback unit tests
	// +kubebuilder:validation:Optional
	FeedbackTestsResult catalog.TestSuiteResult `json:"feedbackTestsResult,omitempty" protobuf:"bytes,72,opt,name=feedbackTestsResult"`
	// The sub models uri file contain the results of running the sub model
	// +kubebuilder:validation:Optional
	GroupBy ModelGroupByStatus `json:"groupby,omitempty" protobuf:"bytes,73,opt,name=groupby"`
	// The status of the model, when deploying via the stages
	// +kubebuilder:validation:Optional
	Stages []ModelStageStatus `json:"stages,omitempty" protobuf:"bytes,74,opt,name=stages"`
	// +kubebuilder:validation:Optional
	// +patchMergeKey=type
	// +patchStrategy=merge
	Conditions []ModelCondition `json:"conditions,omitempty" patchStrategy:"merge" patchMergeKey:"type" protobuf:"bytes,75,rep,name=conditions"`
}

ModelStatus defines the observed state of a Model

func (*ModelStatus) DeepCopy 

func (in *ModelStatus) DeepCopy() *ModelStatus

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelStatus.

func (*ModelStatus) DeepCopyInto 

func (in *ModelStatus) DeepCopyInto(out *ModelStatus)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelStatus) Descriptor 

func (*ModelStatus) Descriptor() ([]byte, []int)

func (*ModelStatus) Marshal 

func (m *ModelStatus) Marshal() (dAtA []byte, err error)

func (*ModelStatus) MarshalTo 

func (m *ModelStatus) MarshalTo(dAtA []byte) (int, error)

func (*ModelStatus) MarshalToSizedBuffer 

func (m *ModelStatus) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelStatus) ProtoMessage 

func (*ModelStatus) ProtoMessage()

func (*ModelStatus) Reset 

func (m *ModelStatus) Reset()

func (*ModelStatus) Size 

func (m *ModelStatus) Size() (n int)

func (*ModelStatus) String 

func (this *ModelStatus) String() string

func (*ModelStatus) Unmarshal 

func (m *ModelStatus) Unmarshal(dAtA []byte) error

func (*ModelStatus) XXX_DiscardUnknown 

func (m *ModelStatus) XXX_DiscardUnknown()

func (*ModelStatus) XXX_Marshal 

func (m *ModelStatus) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelStatus) XXX_Merge 

func (m *ModelStatus) XXX_Merge(src proto.Message)

func (*ModelStatus) XXX_Size 

func (m *ModelStatus) XXX_Size() int

func (*ModelStatus) XXX_Unmarshal 

func (m *ModelStatus) XXX_Unmarshal(b []byte) error

type ModelTemplate added in v0.5.140 

type ModelTemplate string

+kubebuilder:validation:Enum="silverkite";"prophet";"auto-arima";"lag-based";"sk";"two-stage";"wow";"daily-1-config-1";"daily-1-config-2";"daily-1-config-3";"daily-1";"daily-90";"weekly";"monthly";"hourly-1";"hourly-24";"hourly-168";"hourly-336" 

const (
	ModelTemplateSilverKite    ModelTemplate = "silverkite"
	ModelTemplateProphet       ModelTemplate = "prophet"
	ModelTemplateAutoArima     ModelTemplate = "auto-arima"
	ModelTemplateLagBased      ModelTemplate = "lag-based"
	ModelTemplateSK            ModelTemplate = "sk"
	ModelTemplateTwoStage      ModelTemplate = "two-stage"
	ModelTemplateWow           ModelTemplate = "wow"
	ModelTemplateDaily1Config1 ModelTemplate = "daily-1-config-1"
	ModelTemplateDaily1Config2 ModelTemplate = "daily-1-config-2"
	ModelTemplateDaily1Config3 ModelTemplate = "daily-1-config-3"
	ModelTemplateDaily1        ModelTemplate = "daily-1"
	ModelTemplateDaily90       ModelTemplate = "daily-90"
	ModelTemplateWeekly        ModelTemplate = "weekly"
	ModelTemplateMonthly       ModelTemplate = "monthly"
	ModelTemplateHourly1       ModelTemplate = "hourly-1"
	ModelTemplateHourly24      ModelTemplate = "hourly-24"
	ModelTemplateHourly168     ModelTemplate = "hourly-168"
	ModelTemplateHourly336     ModelTemplate = "hourly-336"
)

type ModelTestSuite added in v0.4.933 

type ModelTestSuite struct {
	// Baseline Model Ref specifies a previous model to compare against
	// +kubebuilder:validation:Optional
	BaselineModelRef v1.ObjectReference `json:"baselineModelRef,omitempty" protobuf:"bytes,1,opt,name=baselineModelRef"`
	// The name of a labeled dataset used to test the model, when measuring a performance metric
	// +kubebuilder:validation:Optional
	DatasetRef v1.ObjectReference `json:"datasetRef,omitempty" protobuf:"bytes,2,opt,name=datasetRef"`
	// Define the column name for the validation role
	// +kubebuilder:validation:Optional
	UnitTests catalog.TestSuite `json:"unitTests,omitempty" protobuf:"bytes,3,opt,name=unitTests"`
}

ModelValidation defines a single validation to be run against a model

func (*ModelTestSuite) DeepCopy added in v0.4.933 

func (in *ModelTestSuite) DeepCopy() *ModelTestSuite

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ModelTestSuite.

func (*ModelTestSuite) DeepCopyInto added in v0.4.933 

func (in *ModelTestSuite) DeepCopyInto(out *ModelTestSuite)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ModelTestSuite) Descriptor added in v0.4.933 

func (*ModelTestSuite) Descriptor() ([]byte, []int)

func (*ModelTestSuite) Marshal added in v0.4.933 

func (m *ModelTestSuite) Marshal() (dAtA []byte, err error)

func (*ModelTestSuite) MarshalTo added in v0.4.933 

func (m *ModelTestSuite) MarshalTo(dAtA []byte) (int, error)

func (*ModelTestSuite) MarshalToSizedBuffer added in v0.4.933 

func (m *ModelTestSuite) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ModelTestSuite) ProtoMessage added in v0.4.933 

func (*ModelTestSuite) ProtoMessage()

func (*ModelTestSuite) Reset added in v0.4.933 

func (m *ModelTestSuite) Reset()

func (*ModelTestSuite) Size added in v0.4.933 

func (m *ModelTestSuite) Size() (n int)

func (*ModelTestSuite) String added in v0.4.933 

func (this *ModelTestSuite) String() string

func (*ModelTestSuite) Unmarshal added in v0.4.933 

func (m *ModelTestSuite) Unmarshal(dAtA []byte) error

func (*ModelTestSuite) XXX_DiscardUnknown added in v0.4.933 

func (m *ModelTestSuite) XXX_DiscardUnknown()

func (*ModelTestSuite) XXX_Marshal added in v0.4.933 

func (m *ModelTestSuite) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ModelTestSuite) XXX_Merge added in v0.4.933 

func (m *ModelTestSuite) XXX_Merge(src proto.Message)

func (*ModelTestSuite) XXX_Size added in v0.4.933 

func (m *ModelTestSuite) XXX_Size() int

func (*ModelTestSuite) XXX_Unmarshal added in v0.4.933 

func (m *ModelTestSuite) XXX_Unmarshal(b []byte) error

type NLPEstimatorSpec 

type NLPEstimatorSpec struct {
	// The name of the base model
	// +kubebuilder:validation:Optional
	Base *string `json:"base,omitempty" protobuf:"bytes,1,opt,name=base"`
}

NLPEstimatorSpec specifies the configuration for an NLP model

func (*NLPEstimatorSpec) DeepCopy 

func (in *NLPEstimatorSpec) DeepCopy() *NLPEstimatorSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new NLPEstimatorSpec.

func (*NLPEstimatorSpec) DeepCopyInto 

func (in *NLPEstimatorSpec) DeepCopyInto(out *NLPEstimatorSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*NLPEstimatorSpec) Descriptor 

func (*NLPEstimatorSpec) Descriptor() ([]byte, []int)

func (*NLPEstimatorSpec) Marshal 

func (m *NLPEstimatorSpec) Marshal() (dAtA []byte, err error)

func (*NLPEstimatorSpec) MarshalTo 

func (m *NLPEstimatorSpec) MarshalTo(dAtA []byte) (int, error)

func (*NLPEstimatorSpec) MarshalToSizedBuffer 

func (m *NLPEstimatorSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*NLPEstimatorSpec) ProtoMessage 

func (*NLPEstimatorSpec) ProtoMessage()

func (*NLPEstimatorSpec) Reset 

func (m *NLPEstimatorSpec) Reset()

func (*NLPEstimatorSpec) Size 

func (m *NLPEstimatorSpec) Size() (n int)

func (*NLPEstimatorSpec) String 

func (this *NLPEstimatorSpec) String() string

func (*NLPEstimatorSpec) Unmarshal 

func (m *NLPEstimatorSpec) Unmarshal(dAtA []byte) error

func (*NLPEstimatorSpec) XXX_DiscardUnknown 

func (m *NLPEstimatorSpec) XXX_DiscardUnknown()

func (*NLPEstimatorSpec) XXX_Marshal 

func (m *NLPEstimatorSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*NLPEstimatorSpec) XXX_Merge 

func (m *NLPEstimatorSpec) XXX_Merge(src proto.Message)

func (*NLPEstimatorSpec) XXX_Size 

func (m *NLPEstimatorSpec) XXX_Size() int

func (*NLPEstimatorSpec) XXX_Unmarshal 

func (m *NLPEstimatorSpec) XXX_Unmarshal(b []byte) error

type NNLayerName 

type NNLayerName string
const (
	LayerNameDense         NNLayerName = "dense"
	LayerNameActivation    NNLayerName = "activation"
	LayerNameDropout       NNLayerName = "dropout"
	LayerNameFlatten       NNLayerName = "flatten"
	LayerNameInput         NNLayerName = "input"
	LayerNameReshape       NNLayerName = "reshape"
	LayerNamePermute       NNLayerName = "permute"
	RepeatVector           NNLayerName = "repeat-vector"
	Lambda                 NNLayerName = "lambda"
	ActivityRegularization NNLayerName = "activity-regularization"
	Masking                NNLayerName = "masking"
	SpatialDropout1D       NNLayerName = "spatial-dropout-1d"
	SpatialDropout2D       NNLayerName = "spatial-dropout-2d"
	SpatialDropout3D       NNLayerName = "spatial-dropout-3d"

	// conv layers
	LayerNameConv1D          NNLayerName = "conv-1d"
	LayerNameConv1DTranspose NNLayerName = "conv-1d-transpose"
	LayerNameConv2D          NNLayerName = "conv-2d"
	LayerNameConv2DTranspose NNLayerName = "conv-2d-transpose"
	LayerNameConv3D          NNLayerName = "conv-3d"
	LayerNameConv3DTranspose NNLayerName = "conv-3d-transpose"
	LayerNameUnfold          NNLayerName = "unfold"
	LayerNamefold            NNLayerName = "fold"

	LayerNameSeparableConv1D NNLayerName = "separable-conv-1d"
	LayerNameSeparableConv2D NNLayerName = "separable-conv-2d"

	LayerNameCropping1D NNLayerName = "cropping-1d"
	LayerNameCropping2D NNLayerName = "cropping-2d"
	LayerNameCropping3D NNLayerName = "cropping-3d"

	LayerNameUpSampling1D NNLayerName = "upsampling-1d"
	LayerNameUpSampling2D NNLayerName = "upsampling-2d"
	LayerNameUpSampling3D NNLayerName = "upsampling-3d"

	LayerNameZeroPadding1D NNLayerName = "zero-padding-1D"
	LayerNameZeroPadding2D NNLayerName = "zero-padding-2D"
	LayerNameZeroPadding3D NNLayerName = "zero-padding-3D"

	// VirtualClustering
	LayerNameMaxVirtualClustering1D   NNLayerName = "max-pooling-1D"
	LayerNameMaxVirtualClustering2D   NNLayerName = "max-pooling-2D"
	LayerNameMaxVirtualClustering3D   NNLayerName = "max-pooling-3D"
	LayerNameMaxUnVirtualClustering1D NNLayerName = "max-unpool-1D"
	LayerNameMaxUnVirtualClustering2D NNLayerName = "max-unpool-2D"
	LayerNameMaxUnVirtualClustering3D NNLayerName = "max-unpool-3D"

	LayerNameAverageVirtualClustering1D       NNLayerName = "average-pooling-1D"
	LayerNameAverageVirtualClustering2D       NNLayerName = "average-pooling-2D"
	LayerNameAverageVirtualClustering3D       NNLayerName = "average-pooling-3D"
	LayerNameGlobalMaxVirtualClustering1D     NNLayerName = "global-max-pooling-2D"
	LayerNameGlobalMaxVirtualClustering2D     NNLayerName = "global-max-pooling-2D"
	LayerNameGlobalMaxVirtualClustering3D     NNLayerName = "global-max-pooling-3D"
	LayerNameGlobalAverageVirtualClustering1D NNLayerName = "global-average-pooling-1D"
	LayerNameGlobalAverageVirtualClustering2D NNLayerName = "global-average-pooling-2D"
	LayerNameGlobalAverageVirtualClustering3D NNLayerName = "global-average-pooling-3D"

	LayerNameLocallyConnected1D NNLayerName = "locally-connected-1d"
	LayerNameLocallyConnected2D NNLayerName = "locally-connected-2d"

	LayerNameSimpleRNN     NNLayerName = "simple-rnn"
	LayerNameGRU           NNLayerName = "gru"
	LayerNameLSTM          NNLayerName = "lstm"
	LayerNameConvLSTM2D    NNLayerName = "lstm-2d"
	LayerNameSimpleRNNCell NNLayerName = "simple-rnn-cell"
	LayerNameGRUCell       NNLayerName = "gru-cell"
	LayerNameLSTMCell      NNLayerName = "lstm-cell"
	LayerNameCuDNNGRU      NNLayerName = "cudnngru"
	LayerNameCuDNNLSTM     NNLayerName = "cu-dnn-lstm"

	// -------- Embedding --------
	LayerNameEmbedding NNLayerName = "embedding"

	// -------- Advanced Activations --------
	LayerNameLeakyReLU          NNLayerName = "leaky-relru"
	LayerNamePReLU              NNLayerName = "prelu"
	LayerNameELU                NNLayerName = "elu"
	LayerNameThresholdedReLU    NNLayerName = "threshold-relu"
	LayerNameSoftmax            NNLayerName = "softmax"
	LayerNameReLU               NNLayerName = "relu"
	LayerNameBatchNormalization NNLayerName = "batch-normalization"
	LayerNameGaussianNoise      NNLayerName = "gaussian-noise"
	LayerNameGaussianDropout    NNLayerName = "gaussian-dropout"
	LayerNameAlphaDropout       NNLayerName = "alpha-dropout"
)

type NNLayerParameter 

type NNLayerParameter struct {
	Name  string `json:"name" protobuf:"bytes,1,opt,name=name"`
	Value string `json:"value" protobuf:"bytes,2,opt,name=value"`
}

func (*NNLayerParameter) DeepCopy 

func (in *NNLayerParameter) DeepCopy() *NNLayerParameter

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new NNLayerParameter.

func (*NNLayerParameter) DeepCopyInto 

func (in *NNLayerParameter) DeepCopyInto(out *NNLayerParameter)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*NNLayerParameter) Descriptor 

func (*NNLayerParameter) Descriptor() ([]byte, []int)

func (*NNLayerParameter) Marshal 

func (m *NNLayerParameter) Marshal() (dAtA []byte, err error)

func (*NNLayerParameter) MarshalTo 

func (m *NNLayerParameter) MarshalTo(dAtA []byte) (int, error)

func (*NNLayerParameter) MarshalToSizedBuffer 

func (m *NNLayerParameter) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*NNLayerParameter) ProtoMessage 

func (*NNLayerParameter) ProtoMessage()

func (*NNLayerParameter) Reset 

func (m *NNLayerParameter) Reset()

func (*NNLayerParameter) Size 

func (m *NNLayerParameter) Size() (n int)

func (*NNLayerParameter) String 

func (this *NNLayerParameter) String() string

func (*NNLayerParameter) Unmarshal 

func (m *NNLayerParameter) Unmarshal(dAtA []byte) error

func (*NNLayerParameter) XXX_DiscardUnknown 

func (m *NNLayerParameter) XXX_DiscardUnknown()

func (*NNLayerParameter) XXX_Marshal 

func (m *NNLayerParameter) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*NNLayerParameter) XXX_Merge 

func (m *NNLayerParameter) XXX_Merge(src proto.Message)

func (*NNLayerParameter) XXX_Size 

func (m *NNLayerParameter) XXX_Size() int

func (*NNLayerParameter) XXX_Unmarshal 

func (m *NNLayerParameter) XXX_Unmarshal(b []byte) error

type Notebook 

type Notebook struct {
	metav1.TypeMeta   `json:",inline"`
	metav1.ObjectMeta `json:"metadata,omitempty" protobuf:"bytes,1,opt,name=metadata"`
	Spec              NotebookSpec `json:"spec" protobuf:"bytes,2,opt,name=spec"`
	//+optional
	Status NotebookStatus `json:"status,omitempty" protobuf:"bytes,3,opt,name=status"`
}

+kubebuilder:object:root=true +kubebuilder:printcolumn:name="Ready",type="string",JSONPath=".status.conditions[?(@.type==\"Ready\")].status",description="" +kubebuilder:printcolumn:name="Age",type="date",JSONPath=".metadata.creationTimestamp" +kubebuilder:subresource:status +kubebuilder:storageversion +kubebuilder:resource:path=notebooks,singular=notebook,shortName=nb,categories={training,modela,all} Notebook represent a notebook object which specify a single notebook execution

func ParseNotebookYaml 

func ParseNotebookYaml(content []byte) (*Notebook, error)

func (*Notebook) AddFinalizer 

func (notebook *Notebook) AddFinalizer()

func (*Notebook) ArchiveKey 

func (notebook *Notebook) ArchiveKey() string

func (*Notebook) Archived 

func (notebook *Notebook) Archived() bool

func (*Notebook) CreateOrUpdateCond 

func (notebook *Notebook) CreateOrUpdateCond(cond NotebookCondition)

Merge or update condition

func (*Notebook) DeepCopy 

func (in *Notebook) DeepCopy() *Notebook

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new Notebook.

func (*Notebook) DeepCopyInto 

func (in *Notebook) DeepCopyInto(out *Notebook)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*Notebook) DeepCopyObject 

func (in *Notebook) DeepCopyObject() runtime.Object

DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object.

func (*Notebook) Default 

func (notebook *Notebook) Default()

func (*Notebook) DepotKey 

func (notebook *Notebook) DepotKey() string

func (*Notebook) Descriptor 

func (*Notebook) Descriptor() ([]byte, []int)

func (*Notebook) GenImageName 

func (notebook *Notebook) GenImageName() string

func (*Notebook) GetCond 

func (notebook *Notebook) GetCond(t NotebookConditionType) NotebookCondition

func (*Notebook) GetCondIdx 

func (notebook *Notebook) GetCondIdx(t NotebookConditionType) int

func (*Notebook) HasFinalizer 

func (notebook *Notebook) HasFinalizer() bool

func (*Notebook) IsReady 

func (notebook *Notebook) IsReady() bool

func (*Notebook) Key 

func (notebook *Notebook) Key() string

func (*Notebook) LiveKey 

func (notebook *Notebook) LiveKey() string

func (*Notebook) MakeDockerFile 

func (notebook *Notebook) MakeDockerFile() (string, error)

func (*Notebook) ManifestUri 

func (notebook *Notebook) ManifestUri() string

func (*Notebook) MarkArchived 

func (notebook *Notebook) MarkArchived()

func (*Notebook) MarkReady 

func (notebook *Notebook) MarkReady()

func (*Notebook) Marshal 

func (m *Notebook) Marshal() (dAtA []byte, err error)

func (*Notebook) MarshalTo 

func (m *Notebook) MarshalTo(dAtA []byte) (int, error)

func (*Notebook) MarshalToSizedBuffer 

func (m *Notebook) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*Notebook) NotebbokFileUri 

func (notebook *Notebook) NotebbokFileUri() string

dataproducts/*/notebooks/*/notebook-<name>.jp

func (*Notebook) ProtoMessage 

func (*Notebook) ProtoMessage()

func (*Notebook) RemoveFinalizer 

func (notebook *Notebook) RemoveFinalizer()

func (*Notebook) Reset 

func (m *Notebook) Reset()

func (*Notebook) RootUri 

func (model *Notebook) RootUri() string

func (*Notebook) SetupWebhookWithManager 

func (notebook *Notebook) SetupWebhookWithManager(mgr ctrl.Manager) error

Set up the webhook with the manager.

func (*Notebook) Size 

func (m *Notebook) Size() (n int)

func (*Notebook) String 

func (this *Notebook) String() string

func (*Notebook) Unmarshal 

func (m *Notebook) Unmarshal(dAtA []byte) error

func (*Notebook) UpdateRunStatus added in v0.4.612 

func (in *Notebook) UpdateRunStatus(run NotebookRun)

func (*Notebook) ValidateCreate 

func (notebook *Notebook) ValidateCreate() error

ValidateCreate implements webhook.Validator so a webhook will be registered for the type

func (*Notebook) ValidateDelete 

func (notebook *Notebook) ValidateDelete() error

func (*Notebook) ValidateUpdate 

func (notebook *Notebook) ValidateUpdate(old runtime.Object) error

ValidateUpdate implements webhook.Validator so a webhook will be registered for the type

func (*Notebook) XXX_DiscardUnknown 

func (m *Notebook) XXX_DiscardUnknown()

func (*Notebook) XXX_Marshal 

func (m *Notebook) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*Notebook) XXX_Merge 

func (m *Notebook) XXX_Merge(src proto.Message)

func (*Notebook) XXX_Size 

func (m *Notebook) XXX_Size() int

func (*Notebook) XXX_Unmarshal 

func (m *Notebook) XXX_Unmarshal(b []byte) error

type NotebookCondition 

type NotebookCondition struct {
	// Type of account condition.
	Type NotebookConditionType `json:"type" protobuf:"bytes,1,opt,name=type,casttype=NotebookConditionType"`
	// Status of the condition, one of True, False, Unknown.
	Status v1.ConditionStatus `json:"status" protobuf:"bytes,2,opt,name=status,casttype=k8s.io/api/core/v1.ConditionStatus"`
	// Last time the condition transitioned from one status to another.
	LastTransitionTime *metav1.Time `json:"lastTransitionTime,omitempty" protobuf:"bytes,4,opt,name=lastTransitionTime"`
	// The reason for the condition's last transition.
	Reason string `json:"reason,omitempty" protobuf:"bytes,5,opt,name=reason"`
	// A human readable message indicating details about the transition.
	Message string `json:"message,omitempty" protobuf:"bytes,6,opt,name=message"`
}

NotebookCondition describes the state of a notebook at a certain point.

func (*NotebookCondition) DeepCopy 

func (in *NotebookCondition) DeepCopy() *NotebookCondition

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new NotebookCondition.

func (*NotebookCondition) DeepCopyInto 

func (in *NotebookCondition) DeepCopyInto(out *NotebookCondition)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*NotebookCondition) Descriptor 

func (*NotebookCondition) Descriptor() ([]byte, []int)

func (*NotebookCondition) Marshal 

func (m *NotebookCondition) Marshal() (dAtA []byte, err error)

func (*NotebookCondition) MarshalTo 

func (m *NotebookCondition) MarshalTo(dAtA []byte) (int, error)

func (*NotebookCondition) MarshalToSizedBuffer 

func (m *NotebookCondition) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*NotebookCondition) ProtoMessage 

func (*NotebookCondition) ProtoMessage()

func (*NotebookCondition) Reset 

func (m *NotebookCondition) Reset()

func (*NotebookCondition) Size 

func (m *NotebookCondition) Size() (n int)

func (*NotebookCondition) String 

func (this *NotebookCondition) String() string

func (*NotebookCondition) Unmarshal 

func (m *NotebookCondition) Unmarshal(dAtA []byte) error

func (*NotebookCondition) XXX_DiscardUnknown 

func (m *NotebookCondition) XXX_DiscardUnknown()

func (*NotebookCondition) XXX_Marshal 

func (m *NotebookCondition) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*NotebookCondition) XXX_Merge 

func (m *NotebookCondition) XXX_Merge(src proto.Message)

func (*NotebookCondition) XXX_Size 

func (m *NotebookCondition) XXX_Size() int

func (*NotebookCondition) XXX_Unmarshal 

func (m *NotebookCondition) XXX_Unmarshal(b []byte) error

type NotebookConditionType 

type NotebookConditionType string

Notebook condition 

const (
	NotebookPublished NotebookConditionType = "Published"
	NotebookIngested  NotebookConditionType = "Ingested"
	NotebookReady     NotebookConditionType = "Ready"
	NotebookSaved     NotebookConditionType = "Saved"
)

/ Notebook Condition

type NotebookList 

type NotebookList struct {
	metav1.TypeMeta `json:",inline" `
	metav1.ListMeta `json:"metadata,omitempty" protobuf:"bytes,1,opt,name=metadata"`

	Items []Notebook `json:"items" protobuf:"bytes,2,rep,name=items"`
}

+kubebuilder:object:root=true NotebookList represent list of notebooks

func (*NotebookList) DeepCopy 

func (in *NotebookList) DeepCopy() *NotebookList

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new NotebookList.

func (*NotebookList) DeepCopyInto 

func (in *NotebookList) DeepCopyInto(out *NotebookList)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*NotebookList) DeepCopyObject 

func (in *NotebookList) DeepCopyObject() runtime.Object

DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object.

func (*NotebookList) Descriptor 

func (*NotebookList) Descriptor() ([]byte, []int)

func (*NotebookList) Marshal 

func (m *NotebookList) Marshal() (dAtA []byte, err error)

func (*NotebookList) MarshalTo 

func (m *NotebookList) MarshalTo(dAtA []byte) (int, error)

func (*NotebookList) MarshalToSizedBuffer 

func (m *NotebookList) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*NotebookList) ProtoMessage 

func (*NotebookList) ProtoMessage()

func (*NotebookList) Reset 

func (m *NotebookList) Reset()

func (*NotebookList) Size 

func (m *NotebookList) Size() (n int)

func (*NotebookList) String 

func (this *NotebookList) String() string

func (*NotebookList) Unmarshal 

func (m *NotebookList) Unmarshal(dAtA []byte) error

func (*NotebookList) XXX_DiscardUnknown 

func (m *NotebookList) XXX_DiscardUnknown()

func (*NotebookList) XXX_Marshal 

func (m *NotebookList) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*NotebookList) XXX_Merge 

func (m *NotebookList) XXX_Merge(src proto.Message)

func (*NotebookList) XXX_Size 

func (m *NotebookList) XXX_Size() int

func (*NotebookList) XXX_Unmarshal 

func (m *NotebookList) XXX_Unmarshal(b []byte) error

type NotebookRun 

type NotebookRun struct {
	metav1.TypeMeta   `json:",inline"`
	metav1.ObjectMeta `json:"metadata,omitempty" protobuf:"bytes,1,opt,name=metadata"`

	Spec NotebookRunSpec `json:"spec" protobuf:"bytes,2,opt,name=spec"`
	//+optional
	Status NotebookRunStatus `json:"status,omitempty" protobuf:"bytes,3,opt,name=status"`
}

+kubebuilder:object:root=true +kubebuilder:subresource:status +kubebuilder:storageversion +kubebuilder:printcolumn:name="Status",type="string",JSONPath=".status.phase" +kubebuilder:printcolumn:name="Owner",type="string",JSONPath=".spec.owner",priority=1 +kubebuilder:printcolumn:name="Notebook",type="string",JSONPath=".spec.notebookName" +kubebuilder:printcolumn:name="StartTime",type="date",JSONPath=".status.startTime",priority=1 +kubebuilder:printcolumn:name="CompletionTime",type="date",JSONPath=".status.completionTime",priority=1 +kubebuilder:printcolumn:name="Age",type="date",JSONPath=".metadata.creationTimestamp" +kubebuilder:resource:path=notebookruns,singular=notebookrun,shortName=nbr,categories={training,modela,all} NotebookRun represent a single execution of a notebook with a specific env variables

func ParseNotebookRunYaml 

func ParseNotebookRunYaml(content []byte) (*NotebookRun, error)

func (*NotebookRun) AddFinalizer 

func (run *NotebookRun) AddFinalizer()

func (*NotebookRun) Age 

func (run *NotebookRun) Age() string

func (*NotebookRun) CompletionAlert added in v0.4.601 

func (run *NotebookRun) CompletionAlert(tenantRef *v1.ObjectReference, notifierName *string) *infra.Alert

func (*NotebookRun) CreateOrUpdateCond 

func (run *NotebookRun) CreateOrUpdateCond(cond NotebookRunCondition)

Merge or update condition

func (*NotebookRun) DeepCopy 

func (in *NotebookRun) DeepCopy() *NotebookRun

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new NotebookRun.

func (*NotebookRun) DeepCopyInto 

func (in *NotebookRun) DeepCopyInto(out *NotebookRun)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*NotebookRun) DeepCopyObject 

func (in *NotebookRun) DeepCopyObject() runtime.Object

DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object.

func (*NotebookRun) Default 

func (run *NotebookRun) Default()

func (*NotebookRun) Descriptor 

func (*NotebookRun) Descriptor() ([]byte, []int)

func (*NotebookRun) ErrorAlert added in v0.4.601 

func (run *NotebookRun) ErrorAlert(tenantRef *v1.ObjectReference, notifierName *string, err error) *infra.Alert

func (*NotebookRun) EstimatorBinFileKey 

func (run *NotebookRun) EstimatorBinFileKey() string

khai/labs/l1/studies/<s1>/models/<m1>/estimator.bin

func (*NotebookRun) GetCond 

func (run *NotebookRun) GetCond(t NotebookRunConditionType) NotebookRunCondition

func (*NotebookRun) GetCondIdx 

func (run *NotebookRun) GetCondIdx(t NotebookRunConditionType) int

func (*NotebookRun) HasFinalizer 

func (run *NotebookRun) HasFinalizer() bool

func (*NotebookRun) IsFailed added in v0.4.614 

func (in *NotebookRun) IsFailed() bool

func (*NotebookRun) IsMarkedForDeletion 

func (run *NotebookRun) IsMarkedForDeletion() bool

func (*NotebookRun) IsReady 

func (run *NotebookRun) IsReady() bool

func (*NotebookRun) JobName 

func (run *NotebookRun) JobName() string

func (*NotebookRun) Key 

func (run *NotebookRun) Key() string

func (*NotebookRun) MarkArchived 

func (r *NotebookRun) MarkArchived()

func (*NotebookRun) MarkCompleted 

func (r *NotebookRun) MarkCompleted()

func (*NotebookRun) MarkFailed 

func (r *NotebookRun) MarkFailed(error string)

func (*NotebookRun) MarkRunning 

func (r *NotebookRun) MarkRunning()

func (*NotebookRun) Marshal 

func (m *NotebookRun) Marshal() (dAtA []byte, err error)

func (*NotebookRun) MarshalTo 

func (m *NotebookRun) MarshalTo(dAtA []byte) (int, error)

func (*NotebookRun) MarshalToSizedBuffer 

func (m *NotebookRun) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*NotebookRun) ModelBinFileKey 

func (run *NotebookRun) ModelBinFileKey() string

func (*NotebookRun) ProtoMessage 

func (*NotebookRun) ProtoMessage()

func (*NotebookRun) RemoveFinalizer 

func (run *NotebookRun) RemoveFinalizer()

func (*NotebookRun) Reset 

func (m *NotebookRun) Reset()

func (*NotebookRun) RootFolderKey 

func (run *NotebookRun) RootFolderKey() string

func (*NotebookRun) RunStatus added in v0.4.614 

func (run *NotebookRun) RunStatus() *catalog.LastRunStatus

Return the state of the run as RunStatus

func (*NotebookRun) SchemaBinFileKey 

func (run *NotebookRun) SchemaBinFileKey() string

func (*NotebookRun) SetupWebhookWithManager 

func (run *NotebookRun) SetupWebhookWithManager(mgr ctrl.Manager) error

Set up the webhook with the manager.

func (*NotebookRun) Size 

func (m *NotebookRun) Size() (n int)

func (*NotebookRun) StatusString 

func (run *NotebookRun) StatusString() string

func (*NotebookRun) String 

func (this *NotebookRun) String() string

func (*NotebookRun) StudyBinFileKey 

func (run *NotebookRun) StudyBinFileKey() string

func (*NotebookRun) Unmarshal 

func (m *NotebookRun) Unmarshal(dAtA []byte) error

func (*NotebookRun) ValidateCreate 

func (run *NotebookRun) ValidateCreate() error

ValidateCreate implements webhook.Validator so a webhook will be registered for the type

func (*NotebookRun) ValidateDelete 

func (run *NotebookRun) ValidateDelete() error

func (*NotebookRun) ValidateUpdate 

func (run *NotebookRun) ValidateUpdate(old runtime.Object) error

ValidateUpdate implements webhook.Validator so a webhook will be registered for the type

func (*NotebookRun) VarsToMap 

func (run *NotebookRun) VarsToMap() map[string]string

func (*NotebookRun) XXX_DiscardUnknown 

func (m *NotebookRun) XXX_DiscardUnknown()

func (*NotebookRun) XXX_Marshal 

func (m *NotebookRun) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*NotebookRun) XXX_Merge 

func (m *NotebookRun) XXX_Merge(src proto.Message)

func (*NotebookRun) XXX_Size 

func (m *NotebookRun) XXX_Size() int

func (*NotebookRun) XXX_Unmarshal 

func (m *NotebookRun) XXX_Unmarshal(b []byte) error

type NotebookRunCondition 

type NotebookRunCondition struct {
	// Type of account condition.
	Type NotebookRunConditionType `json:"type" protobuf:"bytes,1,opt,name=type,casttype=NotebookRunConditionType"`
	// Status of the condition, one of True, False, Unknown.
	Status v1.ConditionStatus `json:"status" protobuf:"bytes,2,opt,name=status,casttype=k8s.io/api/core/v1.ConditionStatus"`
	// Last time the condition transitioned from one status to another.
	LastTransitionTime *metav1.Time `json:"lastTransitionTime,omitempty" protobuf:"bytes,4,opt,name=lastTransitionTime"`
	// The reason for the condition's last transition.
	Reason string `json:"reason,omitempty" protobuf:"bytes,5,opt,name=reason"`
	// A human readable message indicating details about the transition.
	Message string `json:"message,omitempty" protobuf:"bytes,6,opt,name=message"`
}

NotebookRunCondition describes the state of a notebook run.

func (*NotebookRunCondition) DeepCopy 

func (in *NotebookRunCondition) DeepCopy() *NotebookRunCondition

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new NotebookRunCondition.

func (*NotebookRunCondition) DeepCopyInto 

func (in *NotebookRunCondition) DeepCopyInto(out *NotebookRunCondition)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*NotebookRunCondition) Descriptor 

func (*NotebookRunCondition) Descriptor() ([]byte, []int)

func (*NotebookRunCondition) Marshal 

func (m *NotebookRunCondition) Marshal() (dAtA []byte, err error)

func (*NotebookRunCondition) MarshalTo 

func (m *NotebookRunCondition) MarshalTo(dAtA []byte) (int, error)

func (*NotebookRunCondition) MarshalToSizedBuffer 

func (m *NotebookRunCondition) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*NotebookRunCondition) ProtoMessage 

func (*NotebookRunCondition) ProtoMessage()

func (*NotebookRunCondition) Reset 

func (m *NotebookRunCondition) Reset()

func (*NotebookRunCondition) Size 

func (m *NotebookRunCondition) Size() (n int)

func (*NotebookRunCondition) String 

func (this *NotebookRunCondition) String() string

func (*NotebookRunCondition) Unmarshal 

func (m *NotebookRunCondition) Unmarshal(dAtA []byte) error

func (*NotebookRunCondition) XXX_DiscardUnknown 

func (m *NotebookRunCondition) XXX_DiscardUnknown()

func (*NotebookRunCondition) XXX_Marshal 

func (m *NotebookRunCondition) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*NotebookRunCondition) XXX_Merge 

func (m *NotebookRunCondition) XXX_Merge(src proto.Message)

func (*NotebookRunCondition) XXX_Size 

func (m *NotebookRunCondition) XXX_Size() int

func (*NotebookRunCondition) XXX_Unmarshal 

func (m *NotebookRunCondition) XXX_Unmarshal(b []byte) error

type NotebookRunConditionType 

type NotebookRunConditionType string

NotebookRun condition Condition on the dataset 

const (
	NotebookRunUnitTested NotebookRunConditionType = "UnitTested"
	NotebookRunCompleted  NotebookRunConditionType = "Completed"
	NotebookRunSaved      NotebookRunConditionType = "Saved"
)

/ NotebookRun Condition

type NotebookRunList 

type NotebookRunList struct {
	metav1.TypeMeta `json:",inline" `
	metav1.ListMeta `json:"metadata,omitempty" protobuf:"bytes,1,opt,name=metadata"`

	Items []NotebookRun `json:"items" protobuf:"bytes,2,rep,name=items"`
}

+kubebuilder:object:root=true NotebookRunList is a list of notebook runs

func (*NotebookRunList) DeepCopy 

func (in *NotebookRunList) DeepCopy() *NotebookRunList

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new NotebookRunList.

func (*NotebookRunList) DeepCopyInto 

func (in *NotebookRunList) DeepCopyInto(out *NotebookRunList)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*NotebookRunList) DeepCopyObject 

func (in *NotebookRunList) DeepCopyObject() runtime.Object

DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object.

func (*NotebookRunList) Descriptor 

func (*NotebookRunList) Descriptor() ([]byte, []int)

func (*NotebookRunList) Marshal 

func (m *NotebookRunList) Marshal() (dAtA []byte, err error)

func (*NotebookRunList) MarshalTo 

func (m *NotebookRunList) MarshalTo(dAtA []byte) (int, error)

func (*NotebookRunList) MarshalToSizedBuffer 

func (m *NotebookRunList) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*NotebookRunList) ProtoMessage 

func (*NotebookRunList) ProtoMessage()

func (*NotebookRunList) Reset 

func (m *NotebookRunList) Reset()

func (*NotebookRunList) Size 

func (m *NotebookRunList) Size() (n int)

func (*NotebookRunList) String 

func (this *NotebookRunList) String() string

func (*NotebookRunList) Unmarshal 

func (m *NotebookRunList) Unmarshal(dAtA []byte) error

func (*NotebookRunList) XXX_DiscardUnknown 

func (m *NotebookRunList) XXX_DiscardUnknown()

func (*NotebookRunList) XXX_Marshal 

func (m *NotebookRunList) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*NotebookRunList) XXX_Merge 

func (m *NotebookRunList) XXX_Merge(src proto.Message)

func (*NotebookRunList) XXX_Size 

func (m *NotebookRunList) XXX_Size() int

func (*NotebookRunList) XXX_Unmarshal 

func (m *NotebookRunList) XXX_Unmarshal(b []byte) error

type NotebookRunPhase 

type NotebookRunPhase string
const (
	NotebookRunPhasePending     NotebookRunPhase = "Pending"
	NotebookRunPhaseAborted     NotebookRunPhase = "Aborted"
	NotebookRunPhaseRunning     NotebookRunPhase = "Running"
	NotebookRunPhaseUnitTesting NotebookRunPhase = "UnitTesting"
	NotebookRunPhaseUnitTested  NotebookRunPhase = "UnitTested"
	NotebookRunPhaseCompleted   NotebookRunPhase = "Completed"
	NotebookRunPhaseFailed      NotebookRunPhase = "Failed"
)

type NotebookRunSpec 

type NotebookRunSpec struct {
	// VersionName of the data product for this notebook
	// +kubebuilder:validation:Optional
	VersionName *string `json:"versionName,omitempty" protobuf:"bytes,1,opt,name=versionName"`
	// NotebookName of the notebook for this run
	// +kubebuilder:validation:Optional
	NotebookName *string `json:"notebookName,omitempty" protobuf:"bytes,2,opt,name=notebookName"`
	// Values to pass to the notebook during execution
	// +kubebuilder:validation:Optional
	Values []NotebookVarValue `json:"values,omitempty" protobuf:"bytes,3,rep,name=values"`
	// Owner account name
	// +kubebuilder:default:="no-one"
	// +kubebuilder:validation:Optional
	Owner *string `json:"owner,omitempty" protobuf:"bytes,4,opt,name=owner"`
	// Resources are hardware req.
	// +kubebuilder:validation:Optional
	Resources catalog.ResourceSpec `json:"resources,omitempty" protobuf:"bytes,5,opt,name=resources"`
	// TTL.
	// +kubebuilder:default:=0
	// +kubebuilder:validation:Optional
	TTL *int32 `json:"ttl,omitempty" protobuf:"varint,6,opt,name=ttl"`
	// LabRef is a reference to the lab where the trainers for this study run.
	// If no value is provided, the lab is taken from the
	// +kubebuilder:validation:Optional
	LabRef v1.ObjectReference `json:"labRef,omitempty" protobuf:"bytes,7,opt,name=labRef"`
}

NotebookRunSpec defines the desired state of the NotebookRun resource

func (*NotebookRunSpec) DeepCopy 

func (in *NotebookRunSpec) DeepCopy() *NotebookRunSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new NotebookRunSpec.

func (*NotebookRunSpec) DeepCopyInto 

func (in *NotebookRunSpec) DeepCopyInto(out *NotebookRunSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*NotebookRunSpec) Descriptor 

func (*NotebookRunSpec) Descriptor() ([]byte, []int)

func (*NotebookRunSpec) Marshal 

func (m *NotebookRunSpec) Marshal() (dAtA []byte, err error)

func (*NotebookRunSpec) MarshalTo 

func (m *NotebookRunSpec) MarshalTo(dAtA []byte) (int, error)

func (*NotebookRunSpec) MarshalToSizedBuffer 

func (m *NotebookRunSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*NotebookRunSpec) ProtoMessage 

func (*NotebookRunSpec) ProtoMessage()

func (*NotebookRunSpec) Reset 

func (m *NotebookRunSpec) Reset()

func (*NotebookRunSpec) Size 

func (m *NotebookRunSpec) Size() (n int)

func (*NotebookRunSpec) String 

func (this *NotebookRunSpec) String() string

func (*NotebookRunSpec) Unmarshal 

func (m *NotebookRunSpec) Unmarshal(dAtA []byte) error

func (*NotebookRunSpec) XXX_DiscardUnknown 

func (m *NotebookRunSpec) XXX_DiscardUnknown()

func (*NotebookRunSpec) XXX_Marshal 

func (m *NotebookRunSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*NotebookRunSpec) XXX_Merge 

func (m *NotebookRunSpec) XXX_Merge(src proto.Message)

func (*NotebookRunSpec) XXX_Size 

func (m *NotebookRunSpec) XXX_Size() int

func (*NotebookRunSpec) XXX_Unmarshal 

func (m *NotebookRunSpec) XXX_Unmarshal(b []byte) error

type NotebookRunStatus 

type NotebookRunStatus struct {
	// The phase of the notebook
	// +kubebuilder:default:="Pending"
	// +kubebuilder:validation:Optional
	Phase NotebookRunPhase `json:"phase" protobuf:"bytes,1,opt,name=phase"`
	// StartTime is the times that this prediction job started
	// +kubebuilder:validation:Optional
	StartTime *metav1.Time `json:"startTime,omitempty" protobuf:"bytes,2,opt,name=startTime"`
	// EndTime is the time that this prediction job finished
	// +kubebuilder:validation:Optional
	EndTime *metav1.Time `json:"endTime,omitempty" protobuf:"bytes,3,opt,name=endTime"`
	// ObservedGeneration is the Last generation that was acted on
	//+kubebuilder:validation:Optional
	ObservedGeneration int64 `json:"observedGeneration,omitempty" protobuf:"varint,4,opt,name=observedGeneration"`
	// Update in case of terminal failure
	// Borrowed from cluster api controller
	//+kubebuilder:validation:Optional
	FailureReason *catalog.StatusError `json:"failureReason,omitempty" protobuf:"bytes,5,opt,name=failureReason"`
	// Update in case of terminal failure message
	//+kubebuilder:validation:Optional
	FailureMessage *string `json:"failureMessage,omitempty" protobuf:"bytes,6,opt,name=failureMessage"`
	// What triggered the run
	//+kubebuilder:validation:Optional
	TriggeredBy catalog.TriggerType `json:"triggeredBy,omitempty" protobuf:"bytes,7,opt,name=triggeredBy"`
	// Holds the location of log paths
	//+kubebuilder:validation:Optional
	Logs catalog.Logs `json:"logs,,omitempty" protobuf:"bytes,8,opt,name=logs"`
	// Last time the object was updated
	//+kubebuilder:validation:Optional
	LastUpdated *metav1.Time `json:"lastUpdated,omitempty" protobuf:"bytes,9,opt,name=lastUpdated"`
	// +patchMergeKey=type
	// +patchStrategy=merge
	// +kubebuilder:validation:Optional
	Conditions []NotebookRunCondition `json:"conditions,omitempty" patchStrategy:"merge" patchMergeKey:"type" protobuf:"bytes,10,rep,name=conditions"`
}

NotebookRunStatus define that observed state of NotebookRun resource

func (*NotebookRunStatus) DeepCopy 

func (in *NotebookRunStatus) DeepCopy() *NotebookRunStatus

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new NotebookRunStatus.

func (*NotebookRunStatus) DeepCopyInto 

func (in *NotebookRunStatus) DeepCopyInto(out *NotebookRunStatus)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*NotebookRunStatus) Descriptor 

func (*NotebookRunStatus) Descriptor() ([]byte, []int)

func (*NotebookRunStatus) Marshal 

func (m *NotebookRunStatus) Marshal() (dAtA []byte, err error)

func (*NotebookRunStatus) MarshalTo 

func (m *NotebookRunStatus) MarshalTo(dAtA []byte) (int, error)

func (*NotebookRunStatus) MarshalToSizedBuffer 

func (m *NotebookRunStatus) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*NotebookRunStatus) ProtoMessage 

func (*NotebookRunStatus) ProtoMessage()

func (*NotebookRunStatus) Reset 

func (m *NotebookRunStatus) Reset()

func (*NotebookRunStatus) Size 

func (m *NotebookRunStatus) Size() (n int)

func (*NotebookRunStatus) String 

func (this *NotebookRunStatus) String() string

func (*NotebookRunStatus) Unmarshal 

func (m *NotebookRunStatus) Unmarshal(dAtA []byte) error

func (*NotebookRunStatus) XXX_DiscardUnknown 

func (m *NotebookRunStatus) XXX_DiscardUnknown()

func (*NotebookRunStatus) XXX_Marshal 

func (m *NotebookRunStatus) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*NotebookRunStatus) XXX_Merge 

func (m *NotebookRunStatus) XXX_Merge(src proto.Message)

func (*NotebookRunStatus) XXX_Size 

func (m *NotebookRunStatus) XXX_Size() int

func (*NotebookRunStatus) XXX_Unmarshal 

func (m *NotebookRunStatus) XXX_Unmarshal(b []byte) error

type NotebookSpec 

type NotebookSpec struct {
	// The version of the notebook
	// +kubebuilder:default:="latest"
	// +kubebuilder:validation:Optional
	VersionName *string `json:"versionName,omitempty" protobuf:"bytes,1,opt,name=versionName"`
	// User provided description
	// +kubebuilder:default:=""
	// +kubebuilder:validation:Optional
	// +kubebuilder:validation:MaxLength=512
	Description *string `json:"description,omitempty" protobuf:"bytes,2,opt,name=description"`
	// SchemaName relate a notebook to a schema.
	// The schema object will be accessible from the notebook
	// +kubebuilder:validation:Optional
	SchemaRef *v1.ObjectReference `json:"schemaRef,omitempty" protobuf:"bytes,3,opt,name=schemaRef"`
	// A reference to the container image repository for this notebook.
	// +kubebuilder:default:=""
	ImageName *string `json:"imageName,omitempty" protobuf:"bytes,4,opt,name=imageName"`
	// Requirements python file
	// +kubebuilder:default:=""
	// +kubebuilder:validation:Optional
	Requirements *string `json:"requirements,omitempty" protobuf:"bytes,5,opt,name=requirements"`
	// DebPackages is a list of deb package to install
	// +kubebuilder:validation:Optional
	DebPackages *string `json:"debPackages,omitempty" protobuf:"bytes,6,opt,name=debPackages"`
	// vars to pass to the notebook
	// +kubebuilder:validation:Optional
	Vars []string `json:"vars,omitempty" protobuf:"bytes,7,rep,name=vars"`
	// Location is the location of the notebook file
	Location *data.DataLocation `json:"location,omitempty" protobuf:"bytes,8,opt,name=location"`
	// The owner account name
	// +kubebuilder:default:="no-one"
	// +kubebuilder:validation:Optional
	Owner *string `json:"owner,omitempty" protobuf:"bytes,9,opt,name=owner"`
	// Resource are the hardware req.
	// +kubebuilder:validation:Optional
	Resources catalog.ResourceSpec `json:"resources,omitempty" protobuf:"bytes,10,opt,name=resources"`
	// ActiveDeadlineSeconds is the deadline of a job for this notebook.
	// +kubebuilder:default:=600
	// +kubebuilder:validation:Minimum=0
	// +kubebuilder:validation:Optional
	ActiveDeadlineSeconds *int64 `json:"activeDeadlineSeconds,omitempty" protobuf:"varint,11,opt,name=activeDeadlineSeconds"`
	// Schedule for running the pipeline
	// +kubebuilder:validation:Optional
	Schedule catalog.RunSchedule `json:"schedule,omitempty" protobuf:"bytes,12,opt,name=schedule"`
	// The priority of this notebook run. The default is medium.
	// +kubebuilder:default:=medium
	// +kubebuilder:validation:Optional
	Priority *catalog.PriorityLevel `json:"priority,omitempty" protobuf:"bytes,13,opt,name=priority"`
	// Set to true to pause the notebook
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Paused *bool `json:"paused,omitempty" protobuf:"varint,14,opt,name=paused"`
	// The set of unit tests for this notebook
	// +kubebuilder:validation:Optional
	UnitTests catalog.TestSuite `json:"unitTests,omitempty" protobuf:"bytes,15,opt,name=unitTests"`
}

NotebookSpec is the desired state of the notebook resource.

func (*NotebookSpec) DeepCopy 

func (in *NotebookSpec) DeepCopy() *NotebookSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new NotebookSpec.

func (*NotebookSpec) DeepCopyInto 

func (in *NotebookSpec) DeepCopyInto(out *NotebookSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*NotebookSpec) Descriptor 

func (*NotebookSpec) Descriptor() ([]byte, []int)

func (*NotebookSpec) Marshal 

func (m *NotebookSpec) Marshal() (dAtA []byte, err error)

func (*NotebookSpec) MarshalTo 

func (m *NotebookSpec) MarshalTo(dAtA []byte) (int, error)

func (*NotebookSpec) MarshalToSizedBuffer 

func (m *NotebookSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*NotebookSpec) ProtoMessage 

func (*NotebookSpec) ProtoMessage()

func (*NotebookSpec) Reset 

func (m *NotebookSpec) Reset()

func (*NotebookSpec) Size 

func (m *NotebookSpec) Size() (n int)

func (*NotebookSpec) String 

func (this *NotebookSpec) String() string

func (*NotebookSpec) Unmarshal 

func (m *NotebookSpec) Unmarshal(dAtA []byte) error

func (*NotebookSpec) XXX_DiscardUnknown 

func (m *NotebookSpec) XXX_DiscardUnknown()

func (*NotebookSpec) XXX_Marshal 

func (m *NotebookSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*NotebookSpec) XXX_Merge 

func (m *NotebookSpec) XXX_Merge(src proto.Message)

func (*NotebookSpec) XXX_Size 

func (m *NotebookSpec) XXX_Size() int

func (*NotebookSpec) XXX_Unmarshal 

func (m *NotebookSpec) XXX_Unmarshal(b []byte) error

type NotebookStatus 

type NotebookStatus struct {
	// Image is the name of the image after publication
	// +kubebuilder:validation:Optional
	Image string `json:"image,omitempty" protobuf:"bytes,1,opt,name=image"`
	// The URI of the notebook in the bucket.
	// +kubebuilder:validation:Optional
	URI string `json:"uri,omitempty" protobuf:"bytes,2,opt,name=uri"`
	// ObservedGeneration is the Last generation that was acted on
	//+kubebuilder:validation:Optional
	ObservedGeneration int64 `json:"observedGeneration,omitempty" protobuf:"varint,3,opt,name=observedGeneration"`
	// Last run is the last time a data pipeline run was created
	//+kubebuilder:validation:Optional
	LastRun catalog.LastRunStatus `json:"lastRun,omitempty" protobuf:"bytes,4,opt,name=lastRun"`
	// The time of the next schedule run
	//+kubebuilder:validation:Optional
	NextRun *metav1.Time `json:"nextRun,omitempty" protobuf:"bytes,5,opt,name=nextRun"`

	// Last time the object was updated
	//+kubebuilder:validation:Optional
	LastUpdated *metav1.Time `json:"lastUpdated,omitempty" protobuf:"bytes,6,opt,name=lastUpdated"`

	// The result of running the unit tests
	// +kubebuilder:validation:Optional
	UnitTestsResult catalog.TestSuiteResult `json:"unitTestsResult,omitempty" protobuf:"bytes,7,opt,name="`

	// +patchMergeKey=type
	// +patchStrategy=merge
	// +kubebuilder:validation:Optional
	Conditions []NotebookCondition `json:"conditions,omitempty" patchStrategy:"merge" patchMergeKey:"type" protobuf:"bytes,9,rep,name=conditions"`
}

NotebookStatus is the observed state of the notebook resource

func (*NotebookStatus) DeepCopy 

func (in *NotebookStatus) DeepCopy() *NotebookStatus

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new NotebookStatus.

func (*NotebookStatus) DeepCopyInto 

func (in *NotebookStatus) DeepCopyInto(out *NotebookStatus)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*NotebookStatus) Descriptor 

func (*NotebookStatus) Descriptor() ([]byte, []int)

func (*NotebookStatus) Marshal 

func (m *NotebookStatus) Marshal() (dAtA []byte, err error)

func (*NotebookStatus) MarshalTo 

func (m *NotebookStatus) MarshalTo(dAtA []byte) (int, error)

func (*NotebookStatus) MarshalToSizedBuffer 

func (m *NotebookStatus) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*NotebookStatus) ProtoMessage 

func (*NotebookStatus) ProtoMessage()

func (*NotebookStatus) Reset 

func (m *NotebookStatus) Reset()

func (*NotebookStatus) Size 

func (m *NotebookStatus) Size() (n int)

func (*NotebookStatus) String 

func (this *NotebookStatus) String() string

func (*NotebookStatus) Unmarshal 

func (m *NotebookStatus) Unmarshal(dAtA []byte) error

func (*NotebookStatus) XXX_DiscardUnknown 

func (m *NotebookStatus) XXX_DiscardUnknown()

func (*NotebookStatus) XXX_Marshal 

func (m *NotebookStatus) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*NotebookStatus) XXX_Merge 

func (m *NotebookStatus) XXX_Merge(src proto.Message)

func (*NotebookStatus) XXX_Size 

func (m *NotebookStatus) XXX_Size() int

func (*NotebookStatus) XXX_Unmarshal 

func (m *NotebookStatus) XXX_Unmarshal(b []byte) error

type NotebookVarValue 

type NotebookVarValue struct {
	Name  string `json:"name" protobuf:"bytes,1,opt,name=name"`
	Value string `json:"value" protobuf:"bytes,2,opt,name=value"`
}

NotebookVarValue is an assignment of value to the notebook var

func (*NotebookVarValue) DeepCopy 

func (in *NotebookVarValue) DeepCopy() *NotebookVarValue

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new NotebookVarValue.

func (*NotebookVarValue) DeepCopyInto 

func (in *NotebookVarValue) DeepCopyInto(out *NotebookVarValue)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*NotebookVarValue) Descriptor 

func (*NotebookVarValue) Descriptor() ([]byte, []int)

func (*NotebookVarValue) Marshal 

func (m *NotebookVarValue) Marshal() (dAtA []byte, err error)

func (*NotebookVarValue) MarshalTo 

func (m *NotebookVarValue) MarshalTo(dAtA []byte) (int, error)

func (*NotebookVarValue) MarshalToSizedBuffer 

func (m *NotebookVarValue) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*NotebookVarValue) ProtoMessage 

func (*NotebookVarValue) ProtoMessage()

func (*NotebookVarValue) Reset 

func (m *NotebookVarValue) Reset()

func (*NotebookVarValue) Size 

func (m *NotebookVarValue) Size() (n int)

func (*NotebookVarValue) String 

func (this *NotebookVarValue) String() string

func (*NotebookVarValue) Unmarshal 

func (m *NotebookVarValue) Unmarshal(dAtA []byte) error

func (*NotebookVarValue) XXX_DiscardUnknown 

func (m *NotebookVarValue) XXX_DiscardUnknown()

func (*NotebookVarValue) XXX_Marshal 

func (m *NotebookVarValue) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*NotebookVarValue) XXX_Merge 

func (m *NotebookVarValue) XXX_Merge(src proto.Message)

func (*NotebookVarValue) XXX_Size 

func (m *NotebookVarValue) XXX_Size() int

func (*NotebookVarValue) XXX_Unmarshal 

func (m *NotebookVarValue) XXX_Unmarshal(b []byte) error

type OptimizerName 

type OptimizerName string
const (
	OptimizerNameSGD      OptimizerName = "sgd"
	OptimizerNameRMSprop  OptimizerName = "rmsprop"
	OptimizerNameAdagrad  OptimizerName = "adagrad"
	OptimizerNameAdadelta OptimizerName = "adadelta"
	OptimizerNameAdam     OptimizerName = "adam"
	OptimizerNameAdamax   OptimizerName = "adamax"
	OptimizerNameNadam    OptimizerName = "nadam"
)

type PercentilePrunerOptions added in v0.4.767 

type PercentilePrunerOptions struct {
	// Percentile which must be between 0 and 100 inclusive
	// +kubebuilder:default:=25
	// +kubebuilder:validation:Minimum=0
	// +kubebuilder:validation:Maximum=100
	// +kubebuilder:validation:Optional
	Percentile *int32 `json:"percentile,omitempty" protobuf:"varint,1,opt,name=percentile"`
	// Pruning is disabled until the given number of trials finish in the same ModelClass.
	// +kubebuilder:default:=5
	// +kubebuilder:validation:Optional
	StartupTrials *int32 `json:"startupTrials,omitempty" protobuf:"varint,2,opt,name=startupTrials"`
	//  Pruning is disabled until the trial exceeds the given number of step
	// +kubebuilder:default:=0
	// +kubebuilder:validation:Optional
	WarmupSteps *int32 `json:"warmupSteps,omitempty" protobuf:"varint,3,opt,name=warmupSteps"`
	// Interval in number of steps between the pruning checks
	// +kubebuilder:default:=1
	// +kubebuilder:validation:Optional
	IntervalSteps *int32 `json:"intervalTrials,omitempty" protobuf:"varint,4,opt,name=intervalTrials"`
	// Minimum number of reported trials.
	// +kubebuilder:default:=1
	// +kubebuilder:validation:Optional
	MinTrials *int32 `json:"minTrials,omitempty" protobuf:"varint,5,opt,name=minTrials"`
}

func (*PercentilePrunerOptions) DeepCopy added in v0.4.767 

func (in *PercentilePrunerOptions) DeepCopy() *PercentilePrunerOptions

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new PercentilePrunerOptions.

func (*PercentilePrunerOptions) DeepCopyInto added in v0.4.767 

func (in *PercentilePrunerOptions) DeepCopyInto(out *PercentilePrunerOptions)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*PercentilePrunerOptions) Descriptor added in v0.4.767 

func (*PercentilePrunerOptions) Descriptor() ([]byte, []int)

func (*PercentilePrunerOptions) Marshal added in v0.4.767 

func (m *PercentilePrunerOptions) Marshal() (dAtA []byte, err error)

func (*PercentilePrunerOptions) MarshalTo added in v0.4.767 

func (m *PercentilePrunerOptions) MarshalTo(dAtA []byte) (int, error)

func (*PercentilePrunerOptions) MarshalToSizedBuffer added in v0.4.767 

func (m *PercentilePrunerOptions) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*PercentilePrunerOptions) ProtoMessage added in v0.4.767 

func (*PercentilePrunerOptions) ProtoMessage()

func (*PercentilePrunerOptions) Reset added in v0.4.767 

func (m *PercentilePrunerOptions) Reset()

func (*PercentilePrunerOptions) Size added in v0.4.767 

func (m *PercentilePrunerOptions) Size() (n int)

func (*PercentilePrunerOptions) String added in v0.4.767 

func (this *PercentilePrunerOptions) String() string

func (*PercentilePrunerOptions) Unmarshal added in v0.4.767 

func (m *PercentilePrunerOptions) Unmarshal(dAtA []byte) error

func (*PercentilePrunerOptions) XXX_DiscardUnknown added in v0.4.767 

func (m *PercentilePrunerOptions) XXX_DiscardUnknown()

func (*PercentilePrunerOptions) XXX_Marshal added in v0.4.767 

func (m *PercentilePrunerOptions) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*PercentilePrunerOptions) XXX_Merge added in v0.4.767 

func (m *PercentilePrunerOptions) XXX_Merge(src proto.Message)

func (*PercentilePrunerOptions) XXX_Size added in v0.4.767 

func (m *PercentilePrunerOptions) XXX_Size() int

func (*PercentilePrunerOptions) XXX_Unmarshal added in v0.4.767 

func (m *PercentilePrunerOptions) XXX_Unmarshal(b []byte) error

type PipelinePhase 

type PipelinePhase string
const (
	PipelinePhasePending            PipelinePhase = "Pending"
	PipelinePhaseTraining           PipelinePhase = "Training"
	PipelinePhasePublishing         PipelinePhase = "Publishing"
	PipelinePhaseSmokeTest          PipelinePhase = "SmokeTest"
	PipelinePhasePredictorSetup     PipelinePhase = "PredictorSetup"
	PipelinePhaseUnitTesting        PipelinePhase = "UnitTesting"
	PipelinePhaseUnitTested         PipelinePhase = "UnitTested"
	PipelinePhaseWaitingForApproval PipelinePhase = "WaitingForApproval"
	PipelinePhaseApproved           PipelinePhase = "Approved"
	PipelinePhaseRunning            PipelinePhase = "Running"
	PipelinePhaseFailed             PipelinePhase = "Failed"
	PipelinePhaseAborted            PipelinePhase = "Aborted"
	PipelinePhaseMonitoring         PipelinePhase = "Monitoring"
	PipelinePhaseNeedRetraining     PipelinePhase = "NeedRetraining"
)

type PipelineRunConditionType 

type PipelineRunConditionType string

Pipeline run condition 

const (
	MPRSaved                  PipelineRunConditionType = "Saved"
	MPRDataStageCompleted     PipelineRunConditionType = "DataStageCompleted"
	MPRTrainingStageCompleted PipelineRunConditionType = "TrainingStageCompleted"
	MPRUATCompleted           PipelineRunConditionType = "UATStageCompleted"
	MPRCapacityStageCompleted PipelineRunConditionType = "CapacityStageCompleted"
	MPRModelDeployed          PipelineRunConditionType = "ModelDeployed"
	MPRModelReleased          PipelineRunConditionType = "ModelReleased"
	MPRModelMonitored         PipelineRunConditionType = "Monitored"
	MPRRetrained              PipelineRunConditionType = "Retrained"
)

/ ModelPipelineRun Condition

type PromotionStatus added in v0.5.319 

type PromotionStatus struct {
	// Last promotion was done
	PromotedAt *metav1.Time `json:"promotedAt,omitempty" protobuf:"bytes,1,opt,name=promotedAt"`
	// If true the promotion was automatic
	Auto *bool `json:"auto,omitempty" protobuf:"bytes,2,opt,name=auto"`
	// for manual promotion, who approved the promotion
	ApprovedBy v1.ObjectReference `json:"approvedBy,omitempty" protobuf:"bytes,3,opt,name=approvedBy"`
}

func (*PromotionStatus) DeepCopy added in v0.5.320 

func (in *PromotionStatus) DeepCopy() *PromotionStatus

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new PromotionStatus.

func (*PromotionStatus) DeepCopyInto added in v0.5.320 

func (in *PromotionStatus) DeepCopyInto(out *PromotionStatus)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*PromotionStatus) Descriptor added in v0.5.319 

func (*PromotionStatus) Descriptor() ([]byte, []int)

func (*PromotionStatus) Marshal added in v0.5.319 

func (m *PromotionStatus) Marshal() (dAtA []byte, err error)

func (*PromotionStatus) MarshalTo added in v0.5.319 

func (m *PromotionStatus) MarshalTo(dAtA []byte) (int, error)

func (*PromotionStatus) MarshalToSizedBuffer added in v0.5.319 

func (m *PromotionStatus) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*PromotionStatus) ProtoMessage added in v0.5.319 

func (*PromotionStatus) ProtoMessage()

func (*PromotionStatus) Reset added in v0.5.319 

func (m *PromotionStatus) Reset()

func (*PromotionStatus) Size added in v0.5.319 

func (m *PromotionStatus) Size() (n int)

func (*PromotionStatus) String added in v0.5.319 

func (this *PromotionStatus) String() string

func (*PromotionStatus) Unmarshal added in v0.5.319 

func (m *PromotionStatus) Unmarshal(dAtA []byte) error

func (*PromotionStatus) XXX_DiscardUnknown added in v0.5.319 

func (m *PromotionStatus) XXX_DiscardUnknown()

func (*PromotionStatus) XXX_Marshal added in v0.5.319 

func (m *PromotionStatus) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*PromotionStatus) XXX_Merge added in v0.5.319 

func (m *PromotionStatus) XXX_Merge(src proto.Message)

func (*PromotionStatus) XXX_Size added in v0.5.319 

func (m *PromotionStatus) XXX_Size() int

func (*PromotionStatus) XXX_Unmarshal added in v0.5.319 

func (m *PromotionStatus) XXX_Unmarshal(b []byte) error

type PrunerName 

type PrunerName string

+kubebuilder:validation:Enum="patient-pruner";"median-pruner";"percentile-pruner";"successive-halving-pruner";"hyperband-pruner";"threshold-pruner" 

const (
	NonePruner              PrunerName = "none"
	PatientPruner           PrunerName = "patient-pruner"
	MedianPruner            PrunerName = "median-pruner"
	PercentilePruner        PrunerName = "percentile-pruner"
	SuccessiveHalvingPruner PrunerName = "successive-halving-pruner"
	HyperbandPruner         PrunerName = "hyperband-pruner"
	ThresholdPruner         PrunerName = "threshold-pruner"
)

type PrunerSpec 

type PrunerSpec struct {
	// The type of pruner to use during model search
	// +kubebuilder:default:=median-pruner
	// +kubebuilder:validation:Optional
	Type *PrunerName `json:"type,omitempty" protobuf:"bytes,1,opt,name=type"`
	// +kubebuilder:validation:Optional
	Median *MedianPrunerOptions `json:"median,omitempty" protobuf:"bytes,2,opt,name=median"`
	// +kubebuilder:validation:Optional
	Percentile *PercentilePrunerOptions `json:"percentile,omitempty" protobuf:"bytes,3,opt,name=percentile"`
	// +kubebuilder:validation:Optional
	Successive *SuccessiveHalvingOptions `json:"successiveHalving,omitempty" protobuf:"bytes,4,opt,name=successiveHalving"`
	// +kubebuilder:validation:Optional
	Hyperband *HyperbandOptions `json:"hyperband,omitempty" protobuf:"bytes,5,opt,name=hyperband"`
	// +kubebuilder:validation:Optional
	Threshold *ThresholdPrunerOptions `json:"threshold,omitempty" protobuf:"bytes,6,opt,name=threshold"`
}

func (*PrunerSpec) DeepCopy 

func (in *PrunerSpec) DeepCopy() *PrunerSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new PrunerSpec.

func (*PrunerSpec) DeepCopyInto 

func (in *PrunerSpec) DeepCopyInto(out *PrunerSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*PrunerSpec) Descriptor 

func (*PrunerSpec) Descriptor() ([]byte, []int)

func (*PrunerSpec) Marshal 

func (m *PrunerSpec) Marshal() (dAtA []byte, err error)

func (*PrunerSpec) MarshalTo 

func (m *PrunerSpec) MarshalTo(dAtA []byte) (int, error)

func (*PrunerSpec) MarshalToSizedBuffer 

func (m *PrunerSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*PrunerSpec) ProtoMessage 

func (*PrunerSpec) ProtoMessage()

func (*PrunerSpec) Reset 

func (m *PrunerSpec) Reset()

func (*PrunerSpec) Size 

func (m *PrunerSpec) Size() (n int)

func (*PrunerSpec) String 

func (this *PrunerSpec) String() string

func (*PrunerSpec) Unmarshal 

func (m *PrunerSpec) Unmarshal(dAtA []byte) error

func (*PrunerSpec) XXX_DiscardUnknown 

func (m *PrunerSpec) XXX_DiscardUnknown()

func (*PrunerSpec) XXX_Marshal 

func (m *PrunerSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*PrunerSpec) XXX_Merge 

func (m *PrunerSpec) XXX_Merge(src proto.Message)

func (*PrunerSpec) XXX_Size 

func (m *PrunerSpec) XXX_Size() int

func (*PrunerSpec) XXX_Unmarshal 

func (m *PrunerSpec) XXX_Unmarshal(b []byte) error

type RegressionForecasterSpec added in v0.5.140 

type RegressionForecasterSpec struct {
	// If true this is an ensemble pipeline
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Ensemble *bool `json:"ensemble,omitempty" protobuf:"bytes,1,opt,name=ensemble"`
	// +kubebuilder:default:=none
	// +kubebuilder:validation:Optional
	Imputation *catalog.Imputation `json:"imputation,omitempty" protobuf:"bytes,2,opt,name=imputation"`
	// The encoding method to use for categorical data types
	// +kubebuilder:default:=none
	// +kubebuilder:validation:Optional
	Encoding *catalog.CategoricalEncoding `json:"encoding,omitempty" protobuf:"bytes,3,opt,name=encoding"`
	// The scaling method to use for numerical data types
	// +kubebuilder:default:=none
	// +kubebuilder:validation:Optional
	Scaling *catalog.Scaling `json:"scaling,omitempty" protobuf:"bytes,4,opt,name=scaling"`
	// If true apply the data transofmer to
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Date *bool `json:"date,omitempty" protobuf:"bytes,5,opt,name=date"`
	// The list of windows to use when generating features.
	// +kubebuilder:validation:Optional
	Windows []int32 `json:"windows,omitempty" protobuf:"bytes,6,opt,name=windows"`
	// The list of lags to use when generating features
	// +kubebuilder:validation:Optional
	Lags []int32 `json:"lags,omitempty" protobuf:"bytes,7,opt,name=lags"`
	// The list of metrics to generate for each combination of lag and windows.
	// The default list is min,max,median,stddev
	// +kubebuilder:validation:Optional
	Functions []catalog.Metric `json:"functions,omitempty" protobuf:"bytes,8,opt,name=functions"`
	// when computing moving avg, use exponential moving avg, other use regular moving avg
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	EMA *bool `json:"ema,omitempty" protobuf:"varint,9,opt,name=ema"` // should we use the target log.
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	Log *bool `json:"log,omitempty" protobuf:"varint,10,opt,name=log"` // should we use the target log.
	// If we are using reduced model, this is the way the reduced model will make prediction
	// Default to none
	// +kubebuilder:validation:Optional
	Reduction ForecastStrategy `json:"reduction,omitempty" protobuf:"bytes,11,opt,name=reduction"`
}

Define how to build a regression model for forecasting (including feature engineering) This is not implemented today

func (*RegressionForecasterSpec) DeepCopy added in v0.5.140 

func (in *RegressionForecasterSpec) DeepCopy() *RegressionForecasterSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new RegressionForecasterSpec.

func (*RegressionForecasterSpec) DeepCopyInto added in v0.5.140 

func (in *RegressionForecasterSpec) DeepCopyInto(out *RegressionForecasterSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*RegressionForecasterSpec) Descriptor added in v0.5.140 

func (*RegressionForecasterSpec) Descriptor() ([]byte, []int)

func (*RegressionForecasterSpec) Marshal added in v0.5.140 

func (m *RegressionForecasterSpec) Marshal() (dAtA []byte, err error)

func (*RegressionForecasterSpec) MarshalTo added in v0.5.140 

func (m *RegressionForecasterSpec) MarshalTo(dAtA []byte) (int, error)

func (*RegressionForecasterSpec) MarshalToSizedBuffer added in v0.5.140 

func (m *RegressionForecasterSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*RegressionForecasterSpec) ProtoMessage added in v0.5.140 

func (*RegressionForecasterSpec) ProtoMessage()

func (*RegressionForecasterSpec) Reset added in v0.5.140 

func (m *RegressionForecasterSpec) Reset()

func (*RegressionForecasterSpec) Size added in v0.5.140 

func (m *RegressionForecasterSpec) Size() (n int)

func (*RegressionForecasterSpec) String added in v0.5.140 

func (this *RegressionForecasterSpec) String() string

func (*RegressionForecasterSpec) Unmarshal added in v0.5.140 

func (m *RegressionForecasterSpec) Unmarshal(dAtA []byte) error

func (*RegressionForecasterSpec) XXX_DiscardUnknown added in v0.5.140 

func (m *RegressionForecasterSpec) XXX_DiscardUnknown()

func (*RegressionForecasterSpec) XXX_Marshal added in v0.5.140 

func (m *RegressionForecasterSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*RegressionForecasterSpec) XXX_Merge added in v0.5.140 

func (m *RegressionForecasterSpec) XXX_Merge(src proto.Message)

func (*RegressionForecasterSpec) XXX_Size added in v0.5.140 

func (m *RegressionForecasterSpec) XXX_Size() int

func (*RegressionForecasterSpec) XXX_Unmarshal added in v0.5.140 

func (m *RegressionForecasterSpec) XXX_Unmarshal(b []byte) error

type ReleaseStageSpec 

type ReleaseStageSpec struct {
	// Enabled indicates that we want to release the model into production
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	Enabled *bool `json:"enabled,omitempty" protobuf:"varint,1,opt,name=enabled"`
	// ServingSiteName is the serving site for the release, if empty, the system will use the default serving site name
	// +kubebuilder:default =""
	// +kubebuilder:validation:Optional
	ServingSiteName *string `json:"servingSiteName,omitempty" protobuf:"bytes,2,opt,name=servingSiteName"`
	// PredictorName is the release predictor. The predictor will be created if it does not exist.
	// +kubebuilder:default =""
	// +kubebuilder:validation:Optional
	PredictorName *string `json:"predictorName,omitempty" protobuf:"bytes,3,opt,name=predictorName"`
	// Template defines the default model deployment for this model
	// +kubebuilder:validation:Optional
	Template catalog.ModelDeploymentSpec `json:"template,omitempty" protobuf:"bytes,4,opt,name=template"`
	// ManualApproval dentoes if we need manual approval before advancing from deployed to released
	// By default a user is needed to approve the release to production
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	ManualApproval *bool `json:"manualApproval,omitempty" protobuf:"varint,5,opt,name=manualApproval"`
	// Resource define the hardware resources req.
	// +kubebuilder:validation:Optional
	Resources catalog.ResourceSpec `json:"resources,omitempty" protobuf:"bytes,7,opt,name=resources"`
}

func (*ReleaseStageSpec) DeepCopy 

func (in *ReleaseStageSpec) DeepCopy() *ReleaseStageSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ReleaseStageSpec.

func (*ReleaseStageSpec) DeepCopyInto 

func (in *ReleaseStageSpec) DeepCopyInto(out *ReleaseStageSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ReleaseStageSpec) Descriptor 

func (*ReleaseStageSpec) Descriptor() ([]byte, []int)

func (*ReleaseStageSpec) Marshal 

func (m *ReleaseStageSpec) Marshal() (dAtA []byte, err error)

func (*ReleaseStageSpec) MarshalTo 

func (m *ReleaseStageSpec) MarshalTo(dAtA []byte) (int, error)

func (*ReleaseStageSpec) MarshalToSizedBuffer 

func (m *ReleaseStageSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ReleaseStageSpec) ProtoMessage 

func (*ReleaseStageSpec) ProtoMessage()

func (*ReleaseStageSpec) Reset 

func (m *ReleaseStageSpec) Reset()

func (*ReleaseStageSpec) Size 

func (m *ReleaseStageSpec) Size() (n int)

func (*ReleaseStageSpec) String 

func (this *ReleaseStageSpec) String() string

func (*ReleaseStageSpec) Unmarshal 

func (m *ReleaseStageSpec) Unmarshal(dAtA []byte) error

func (*ReleaseStageSpec) XXX_DiscardUnknown 

func (m *ReleaseStageSpec) XXX_DiscardUnknown()

func (*ReleaseStageSpec) XXX_Marshal 

func (m *ReleaseStageSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ReleaseStageSpec) XXX_Merge 

func (m *ReleaseStageSpec) XXX_Merge(src proto.Message)

func (*ReleaseStageSpec) XXX_Size 

func (m *ReleaseStageSpec) XXX_Size() int

func (*ReleaseStageSpec) XXX_Unmarshal 

func (m *ReleaseStageSpec) XXX_Unmarshal(b []byte) error

type Report 

type Report struct {
	metav1.TypeMeta   `json:",inline"`
	metav1.ObjectMeta `json:"metadata,omitempty" protobuf:"bytes,1,opt,name=metadata"`
	Spec              ReportSpec `json:"spec" protobuf:"bytes,2,opt,name=spec"`
	//+optional
	Status ReportStatus `json:"status,,omitempty" protobuf:"bytes,3,opt,name=status"`
}

Report represents a PDF file containing information compiled about another resource +kubebuilder:object:root=true +kubebuilder:subresource:status +kubebuilder:storageversion +kubebuilder:printcolumn:name="Status",type="string",JSONPath=".status.phase" +kubebuilder:printcolumn:name="Owner",type="string",JSONPath=".spec.owner",priority=1 +kubebuilder:printcolumn:name="Version",type="string",JSONPath=".spec.versionName" +kubebuilder:printcolumn:name="Type",type="string",JSONPath=".spec.reportType" +kubebuilder:printcolumn:name="Age",type="date",JSONPath=".metadata.creationTimestamp",description="" +kubebuilder:resource:path=reports,singular=report,categories={training,modela,all}

func NewReport 

func NewReport(
	ns string,
	name string,
	entity string,
	key string,
	reportType ReportType,
	bucketName string) *Report

func ParseReportYaml 

func ParseReportYaml(content []byte) (*Report, error)

func (*Report) AddFinalizer 

func (report *Report) AddFinalizer()

func (Report) Age 

func (report Report) Age() string

func (Report) CompletionAlert added in v0.4.601 

func (report Report) CompletionAlert(tenantRef *v1.ObjectReference, notifierName *string) *infra.Alert

func (*Report) CreateOrUpdateCond 

func (report *Report) CreateOrUpdateCond(cond ReportCondition)

Merge or update condition

func (*Report) DeepCopy 

func (in *Report) DeepCopy() *Report

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new Report.

func (*Report) DeepCopyInto 

func (in *Report) DeepCopyInto(out *Report)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*Report) DeepCopyObject 

func (in *Report) DeepCopyObject() runtime.Object

DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object.

func (*Report) Default 

func (report *Report) Default()

func (*Report) Descriptor 

func (*Report) Descriptor() ([]byte, []int)

func (Report) ErrorAlert added in v0.4.601 

func (report Report) ErrorAlert(tenantRef *v1.ObjectReference, notifierName *string, err error) *infra.Alert

func (Report) GetCond 

func (report Report) GetCond(t ReportConditionType) ReportCondition

func (Report) GetCondIdx 

func (report Report) GetCondIdx(t ReportConditionType) int

func (Report) HasFinalizer 

func (report Report) HasFinalizer() bool

func (Report) IndexFileKey added in v0.5.201 

func (report Report) IndexFileKey() string

func (Report) IsDatasetReport 

func (report Report) IsDatasetReport() bool

func (Report) IsFailed added in v0.4.614 

func (report Report) IsFailed() bool

func (Report) IsForecastReport 

func (report Report) IsForecastReport() bool

func (Report) IsGroup added in v0.5.155 

func (report Report) IsGroup() bool

func (Report) IsModelReport 

func (report Report) IsModelReport() bool

func (Report) IsReady 

func (report Report) IsReady() bool

func (Report) IsSaved 

func (report Report) IsSaved() bool

func (Report) IsStudyReport 

func (report Report) IsStudyReport() bool

func (*Report) Label 

func (report *Report) Label(key string, value string)

func (Report) ManifestUri 

func (report Report) ManifestUri() string

func (*Report) MarkReportFailed 

func (report *Report) MarkReportFailed(err string)

func (*Report) MarkReportReady 

func (report *Report) MarkReportReady(product *data.DataProduct)

func (*Report) MarkRunning 

func (report *Report) MarkRunning()

func (*Report) MarkSaved 

func (report *Report) MarkSaved()

func (*Report) Marshal 

func (m *Report) Marshal() (dAtA []byte, err error)

func (*Report) MarshalTo 

func (m *Report) MarshalTo(dAtA []byte) (int, error)

func (*Report) MarshalToSizedBuffer 

func (m *Report) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (Report) PdfUri 

func (report Report) PdfUri() string

dataproducts/*/models/*/bin/model.joblib

func (*Report) ProtoMessage 

func (*Report) ProtoMessage()

func (*Report) RemoveFinalizer 

func (report *Report) RemoveFinalizer()

func (*Report) Reset 

func (m *Report) Reset()

func (Report) RootUri 

func (report Report) RootUri() string

func (Report) RunStatus added in v0.4.614 

func (report Report) RunStatus() *catalog.LastRunStatus

Return the state of the run as RunStatus

func (*Report) SetupWebhookWithManager 

func (report *Report) SetupWebhookWithManager(mgr ctrl.Manager) error

Set up the webhook with the manager.

func (*Report) Size 

func (m *Report) Size() (n int)

func (*Report) String 

func (this *Report) String() string

func (Report) TaskIndexFileKey added in v0.5.201 

func (report Report) TaskIndexFileKey(task string) string

This is the index file for task

func (*Report) Unmarshal 

func (m *Report) Unmarshal(dAtA []byte) error

func (*Report) ValidateCreate 

func (report *Report) ValidateCreate() error

ValidateCreate implements webhook.Validator so a webhook will be registered for the type

func (Report) ValidateDelete 

func (report Report) ValidateDelete() error

func (*Report) ValidateUpdate 

func (report *Report) ValidateUpdate(old runtime.Object) error

ValidateUpdate implements webhook.Validator so a webhook will be registered for the type

func (Report) WorkerIndexFileKey added in v0.5.201 

func (report Report) WorkerIndexFileKey(workerIndex int, task string) string

func (*Report) XXX_DiscardUnknown 

func (m *Report) XXX_DiscardUnknown()

func (*Report) XXX_Marshal 

func (m *Report) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*Report) XXX_Merge 

func (m *Report) XXX_Merge(src proto.Message)

func (*Report) XXX_Size 

func (m *Report) XXX_Size() int

func (*Report) XXX_Unmarshal 

func (m *Report) XXX_Unmarshal(b []byte) error

type ReportCondition 

type ReportCondition struct {
	// Type of Report condition
	Type ReportConditionType `json:"type" protobuf:"bytes,1,opt,name=type,casttype=ReportConditionType"`
	// Status of the condition, one of True, False, Unknown
	Status v1.ConditionStatus `json:"status" protobuf:"bytes,2,opt,name=status,casttype=k8s.io/api/core/v1.ConditionStatus"`
	// Last time the condition transitioned from one status to another
	LastTransitionTime *metav1.Time `json:"lastTransitionTime,omitempty" protobuf:"bytes,4,opt,name=lastTransitionTime"`
	// The reason for the condition's last transition
	Reason string `json:"reason,omitempty" protobuf:"bytes,5,opt,name=reason"`
	// A human-readable message indicating details about the transition
	Message string `json:"message,omitempty" protobuf:"bytes,6,opt,name=message"`
}

ReportCondition describes the state of a Report at a certain point.

func (*ReportCondition) DeepCopy 

func (in *ReportCondition) DeepCopy() *ReportCondition

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ReportCondition.

func (*ReportCondition) DeepCopyInto 

func (in *ReportCondition) DeepCopyInto(out *ReportCondition)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ReportCondition) Descriptor 

func (*ReportCondition) Descriptor() ([]byte, []int)

func (*ReportCondition) Marshal 

func (m *ReportCondition) Marshal() (dAtA []byte, err error)

func (*ReportCondition) MarshalTo 

func (m *ReportCondition) MarshalTo(dAtA []byte) (int, error)

func (*ReportCondition) MarshalToSizedBuffer 

func (m *ReportCondition) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ReportCondition) ProtoMessage 

func (*ReportCondition) ProtoMessage()

func (*ReportCondition) Reset 

func (m *ReportCondition) Reset()

func (*ReportCondition) Size 

func (m *ReportCondition) Size() (n int)

func (*ReportCondition) String 

func (this *ReportCondition) String() string

func (*ReportCondition) Unmarshal 

func (m *ReportCondition) Unmarshal(dAtA []byte) error

func (*ReportCondition) XXX_DiscardUnknown 

func (m *ReportCondition) XXX_DiscardUnknown()

func (*ReportCondition) XXX_Marshal 

func (m *ReportCondition) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ReportCondition) XXX_Merge 

func (m *ReportCondition) XXX_Merge(src proto.Message)

func (*ReportCondition) XXX_Size 

func (m *ReportCondition) XXX_Size() int

func (*ReportCondition) XXX_Unmarshal 

func (m *ReportCondition) XXX_Unmarshal(b []byte) error

type ReportConditionType 

type ReportConditionType string

ReporteConditionType 

const (
	// The report was generated
	ReportReady ReportConditionType = "Ready"
	// If the notifier is valid, the report was sent
	ReportSent ReportConditionType = "Sent"

	ReportSaved ReportConditionType = "Saved"
)

type ReportFormat 

type ReportFormat string

+kubebuilder:validation:Enum="pdf" 

const (
	Pdf ReportFormat = "pdf"
)

type ReportGroupByStatus added in v0.5.200 

type ReportGroupByStatus struct {
	// The locations of the datasets profile files. Each file is the group
	// +kubebuilder:validation:Optional
	ReportsURI string `json:"reportsURI,omitempty" protobuf:"bytes,1,opt,name=reportsURI"`
	// Holds the worker on going result, when a worker finish, we update the location of thier result files
	// +kubebuilder:validation:Optional
	WorkerResults []catalog.WorkerRunResult `json:"workerResults,omitempty" protobuf:"bytes,4,opt,name=workerResults"`
}

func (*ReportGroupByStatus) DeepCopy added in v0.5.200 

func (in *ReportGroupByStatus) DeepCopy() *ReportGroupByStatus

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ReportGroupByStatus.

func (*ReportGroupByStatus) DeepCopyInto added in v0.5.200 

func (in *ReportGroupByStatus) DeepCopyInto(out *ReportGroupByStatus)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ReportGroupByStatus) Descriptor added in v0.5.200 

func (*ReportGroupByStatus) Descriptor() ([]byte, []int)

func (*ReportGroupByStatus) Marshal added in v0.5.200 

func (m *ReportGroupByStatus) Marshal() (dAtA []byte, err error)

func (*ReportGroupByStatus) MarshalTo added in v0.5.200 

func (m *ReportGroupByStatus) MarshalTo(dAtA []byte) (int, error)

func (*ReportGroupByStatus) MarshalToSizedBuffer added in v0.5.200 

func (m *ReportGroupByStatus) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ReportGroupByStatus) ProtoMessage added in v0.5.200 

func (*ReportGroupByStatus) ProtoMessage()

func (*ReportGroupByStatus) Reset added in v0.5.200 

func (m *ReportGroupByStatus) Reset()

func (*ReportGroupByStatus) Size added in v0.5.200 

func (m *ReportGroupByStatus) Size() (n int)

func (*ReportGroupByStatus) String added in v0.5.200 

func (this *ReportGroupByStatus) String() string

func (*ReportGroupByStatus) Unmarshal added in v0.5.200 

func (m *ReportGroupByStatus) Unmarshal(dAtA []byte) error

func (*ReportGroupByStatus) XXX_DiscardUnknown added in v0.5.200 

func (m *ReportGroupByStatus) XXX_DiscardUnknown()

func (*ReportGroupByStatus) XXX_Marshal added in v0.5.200 

func (m *ReportGroupByStatus) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ReportGroupByStatus) XXX_Merge added in v0.5.200 

func (m *ReportGroupByStatus) XXX_Merge(src proto.Message)

func (*ReportGroupByStatus) XXX_Size added in v0.5.200 

func (m *ReportGroupByStatus) XXX_Size() int

func (*ReportGroupByStatus) XXX_Unmarshal added in v0.5.200 

func (m *ReportGroupByStatus) XXX_Unmarshal(b []byte) error

type ReportList 

type ReportList struct {
	metav1.TypeMeta `json:",inline"`
	metav1.ListMeta `json:"metadata,omitempty" protobuf:"bytes,1,opt,name=metadata"`
	Items           []Report `json:"items" protobuf:"bytes,2,rep,name=items"`
}

ReportList contains a list of Reports +kubebuilder:object:root=true

func (*ReportList) DeepCopy 

func (in *ReportList) DeepCopy() *ReportList

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ReportList.

func (*ReportList) DeepCopyInto 

func (in *ReportList) DeepCopyInto(out *ReportList)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ReportList) DeepCopyObject 

func (in *ReportList) DeepCopyObject() runtime.Object

DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object.

func (*ReportList) Descriptor 

func (*ReportList) Descriptor() ([]byte, []int)

func (*ReportList) Marshal 

func (m *ReportList) Marshal() (dAtA []byte, err error)

func (*ReportList) MarshalTo 

func (m *ReportList) MarshalTo(dAtA []byte) (int, error)

func (*ReportList) MarshalToSizedBuffer 

func (m *ReportList) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ReportList) ProtoMessage 

func (*ReportList) ProtoMessage()

func (*ReportList) Reset 

func (m *ReportList) Reset()

func (*ReportList) Size 

func (m *ReportList) Size() (n int)

func (*ReportList) String 

func (this *ReportList) String() string

func (*ReportList) Unmarshal 

func (m *ReportList) Unmarshal(dAtA []byte) error

func (*ReportList) XXX_DiscardUnknown 

func (m *ReportList) XXX_DiscardUnknown()

func (*ReportList) XXX_Marshal 

func (m *ReportList) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ReportList) XXX_Merge 

func (m *ReportList) XXX_Merge(src proto.Message)

func (*ReportList) XXX_Size 

func (m *ReportList) XXX_Size() int

func (*ReportList) XXX_Unmarshal 

func (m *ReportList) XXX_Unmarshal(b []byte) error

type ReportPhase 

type ReportPhase string

ReportPhase is the current state of a Report 

const (
	ReportPhasePending   ReportPhase = "Pending"
	ReportPhaseRunning   ReportPhase = "Running"
	ReportPhaseCompleted ReportPhase = "Completed"
	ReportPhaseFailed    ReportPhase = "Failed"
)

/ Entity Condition

type ReportSpec 

type ReportSpec struct {
	// The name of the DataProductVersion which describes the version of the resource
	// that exists in the same DataProduct namespace as the resource
	// +kubebuilder:default:="latest"
	// +kubebuilder:validation:Optional
	VersionName *string `json:"versionName,omitempty" protobuf:"bytes,1,opt,name=versionName"`
	// EntityRef specifies the entity which the Report references. The supported entities consist of Entity, Model, and Study resources
	EntityRef v1.ObjectReference `json:"entityRef,omitempty" protobuf:"bytes,2,opt,name=entityRef"`
	// The model class for this pipeline
	// +kubebuilder:validation:Optional
	ModelClassName *string `json:"modelClassName,omitempty" protobuf:"bytes,3,opt,name=modelClassName"`
	// The location of the flat-file containing the PDF report
	// +kubebuilder:validation:Optional
	Location data.DataLocation `json:"location,omitempty" protobuf:"bytes,4,opt,name=location"`
	// The type of report (e.g. classification model report, study report)
	// +kubebuilder:validation:Required
	// +required
	ReportType *ReportType `json:"reportType,omitempty" protobuf:"bytes,5,opt,name=reportType"`
	// The format of the Report. `pdf` is the only supported type as of the current release
	// +kubebuilder:default:=pdf
	// +kubebuilder:validation:Optional
	Format *ReportFormat `json:"format,omitempty" protobuf:"bytes,6,opt,name=format"`
	// The name of the Notifier resource which Alerts created by the Report will be forwarded to
	// +kubebuilder:validation:Optional
	NotifierName *string `json:"notifierName,omitempty" protobuf:"bytes,7,opt,name=notifierName"`
	// The name of the Account which created the object, which exists in the same tenant as the object
	// +kubebuilder:default:="no-one"
	// +kubebuilder:validation:Optional
	Owner *string `json:"owner,omitempty" protobuf:"bytes,8,opt,name=owner"`
	// Resources specifies the resource requirements that will be allocated to the report generation workload
	// +kubebuilder:validation:Optional
	Resources catalog.ResourceSpec `json:"resources,omitempty" protobuf:"bytes,9,opt,name=resources"`
	// The deadline for any Jobs associated with the Report to be completed in seconds
	// +kubebuilder:default:=600
	// +kubebuilder:validation:Optional
	ActiveDeadlineSeconds *int64 `json:"activeDeadlineSeconds,omitempty" protobuf:"varint,10,opt,name=activeDeadlineSeconds"`
	// Custom contains the specification to generate a custom report (currently unimplemented)
	// +kubebuilder:validation:Optional
	Custom CustomReportSpec `json:"custom,omitempty" protobuf:"bytes,11,opt,name=custom"`
	// The name of the CronReport resource that generated the Report
	// +kubebuilder:default:=""
	// +kubebuilder:validation:Optional
	CronReportName *string `json:"cronReportName,omitempty" protobuf:"bytes,12,opt,name=cronReportName"`
	// The reference to the Lab namespace under which the report generation Job will be executed under.
	// If unspecified, the default Lab from the parent DataProduct will be used
	// +kubebuilder:validation:Optional
	LabRef v1.ObjectReference `json:"labRef,omitempty" protobuf:"bytes,13,opt,name=labRef"`
	// For group forecasting, this is the key of the group
	// +kubebuilder:validation:Optional
	Key []string `json:"key,omitempty" protobuf:"bytes,14,opt,name=key"`
}

ReportSpec specifies the desired state of a Report

func (*ReportSpec) DeepCopy 

func (in *ReportSpec) DeepCopy() *ReportSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ReportSpec.

func (*ReportSpec) DeepCopyInto 

func (in *ReportSpec) DeepCopyInto(out *ReportSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ReportSpec) Descriptor 

func (*ReportSpec) Descriptor() ([]byte, []int)

func (*ReportSpec) Marshal 

func (m *ReportSpec) Marshal() (dAtA []byte, err error)

func (*ReportSpec) MarshalTo 

func (m *ReportSpec) MarshalTo(dAtA []byte) (int, error)

func (*ReportSpec) MarshalToSizedBuffer 

func (m *ReportSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ReportSpec) ProtoMessage 

func (*ReportSpec) ProtoMessage()

func (*ReportSpec) Reset 

func (m *ReportSpec) Reset()

func (*ReportSpec) Size 

func (m *ReportSpec) Size() (n int)

func (*ReportSpec) String 

func (this *ReportSpec) String() string

func (*ReportSpec) Unmarshal 

func (m *ReportSpec) Unmarshal(dAtA []byte) error

func (*ReportSpec) XXX_DiscardUnknown 

func (m *ReportSpec) XXX_DiscardUnknown()

func (*ReportSpec) XXX_Marshal 

func (m *ReportSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ReportSpec) XXX_Merge 

func (m *ReportSpec) XXX_Merge(src proto.Message)

func (*ReportSpec) XXX_Size 

func (m *ReportSpec) XXX_Size() int

func (*ReportSpec) XXX_Unmarshal 

func (m *ReportSpec) XXX_Unmarshal(b []byte) error

type ReportStatus 

type ReportStatus struct {
	// StartTime represents the time at which the execution of the Report started
	// +kubebuilder:validation:Optional
	StartTime *metav1.Time `json:"startTime,omitempty" protobuf:"bytes,2,opt,name=startTime"`
	// EndTime represents the time at which the Report was marked as completed, failed, or aborted
	// +kubebuilder:validation:Optional
	EndTime *metav1.Time `json:"endTime,omitempty" protobuf:"bytes,3,opt,name=endTime"`
	// The phase of the Report
	// +kubebuilder:default:="Pending"
	// +kubebuilder:validation:Optional
	Phase ReportPhase `json:"phase,omitempty" protobuf:"bytes,4,opt,name=phase"`
	// The URI to the flat-file report within the VirtualBucket specified by the Report
	// +kubebuilder:validation:Optional
	URI string `json:"uri,omitempty" protobuf:"bytes,5,opt,name=uri"`
	// ObservedGeneration is the last generation that was acted on
	//+kubebuilder:validation:Optional
	ObservedGeneration int64 `json:"observedGeneration,omitempty" protobuf:"varint,6,opt,name=observedGeneration"`
	// In the case of failure, the Report resource controller will set this field with a failure reason
	//+kubebuilder:validation:Optional
	FailureReason *catalog.StatusError `json:"failureReason,omitempty" protobuf:"bytes,7,opt,name=failureReason"`
	// In the case of failure, the Report resource controller will set this field with a failure message
	//+kubebuilder:validation:Optional
	FailureMessage *string `json:"failureMessage,omitempty" protobuf:"bytes,8,opt,name=failureMessage"`
	// Logs specifies the location of logs produced by workloads associated with the Report
	//+kubebuilder:validation:Optional
	Logs catalog.Logs `json:"logs,omitempty" protobuf:"bytes,9,opt,name=logs"`
	// The last time the object was updated
	//+kubebuilder:validation:Optional
	LastUpdated *metav1.Time `json:"lastUpdated,omitempty" protobuf:"bytes,10,opt,name=lastUpdated"`
	// The sub models uri file contain the results of running the sub model
	// +kubebuilder:validation:Optional
	GroupBy ReportGroupByStatus `json:"groupby,omitempty" protobuf:"bytes,11,opt,name=groupby"`
	// +patchMergeKey=type
	// +patchStrategy=merge
	// +kubebuilder:validation:Optional
	Conditions []ReportCondition `json:"conditions,omitempty" patchStrategy:"merge" patchMergeKey:"type" protobuf:"bytes,12,rep,name=conditions"`
}

ReportStatus defines the observed state of a Report

func (*ReportStatus) DeepCopy 

func (in *ReportStatus) DeepCopy() *ReportStatus

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ReportStatus.

func (*ReportStatus) DeepCopyInto 

func (in *ReportStatus) DeepCopyInto(out *ReportStatus)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ReportStatus) Descriptor 

func (*ReportStatus) Descriptor() ([]byte, []int)

func (*ReportStatus) Marshal 

func (m *ReportStatus) Marshal() (dAtA []byte, err error)

func (*ReportStatus) MarshalTo 

func (m *ReportStatus) MarshalTo(dAtA []byte) (int, error)

func (*ReportStatus) MarshalToSizedBuffer 

func (m *ReportStatus) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ReportStatus) ProtoMessage 

func (*ReportStatus) ProtoMessage()

func (*ReportStatus) Reset 

func (m *ReportStatus) Reset()

func (*ReportStatus) Size 

func (m *ReportStatus) Size() (n int)

func (*ReportStatus) String 

func (this *ReportStatus) String() string

func (*ReportStatus) Unmarshal 

func (m *ReportStatus) Unmarshal(dAtA []byte) error

func (*ReportStatus) XXX_DiscardUnknown 

func (m *ReportStatus) XXX_DiscardUnknown()

func (*ReportStatus) XXX_Marshal 

func (m *ReportStatus) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ReportStatus) XXX_Merge 

func (m *ReportStatus) XXX_Merge(src proto.Message)

func (*ReportStatus) XXX_Size 

func (m *ReportStatus) XXX_Size() int

func (*ReportStatus) XXX_Unmarshal 

func (m *ReportStatus) XXX_Unmarshal(b []byte) error

type ReportType 

type ReportType string

ReportType is the type of a Report +kubebuilder:validation:Enum="binary-classification-model";"forecast-model";"regression-model";"multi-classification-model";"text-classification-model";"classification-dataset";"forecast-dataset";"text-classification-dataset";"regression-dataset";"study-report";"feature-report";"invalid-report";"daily-report";"weekly-report";"monthly-report";"summary-report";"group-timeseries-dataset-report";"group-timeseries-model-report" 

const (
	BinaryClassificationModelReport ReportType = "binary-classification-model"
	ForecastModelReport             ReportType = "forecast-model"
	RegressionModelReport           ReportType = "regression-model"
	MultiClassificationModelReport  ReportType = "multi-classification-model"
	TextClassificationModelReport   ReportType = "text-classification-model"
	ClassificationDatasetReport     ReportType = "classification-dataset"
	ForecastDatasetReport           ReportType = "forecast-dataset"
	TextClassificationDatasetReport ReportType = "text-classification-dataset"
	RegressionDatasetReport         ReportType = "regression-dataset"
	SummaryReport                   ReportType = "summary-report"
	CustomReport                    ReportType = "custom-report"
	GroupTimeSeriesModelReport      ReportType = "group-timeseries-model-report"
	GroupTimeSeriesDatasetReport    ReportType = "group-timeseries-dataset-report"
	StudyReport                     ReportType = "study-report"
	ForecastReport                  ReportType = "forecast-report"
	FeatureReport                   ReportType = "feature-report"
	InvalidReport                   ReportType = "invalid-report"
)

func ConvertStringToReportType 

func ConvertStringToReportType(s string) ReportType

type ResourceConsumption 

type ResourceConsumption struct {
	Cpu float64 `json:"cpu,omitempty" protobuf:"bytes,1,opt,name=cpu"`
	Mem float64 `json:"mem,omitempty" protobuf:"bytes,2,opt,name=mem"`
	Gpu float64 `json:"gpu,omitempty" protobuf:"bytes,3,opt,name=gpu"`
}

ResourceConsumption represents the total resources consumed by a workload

func (*ResourceConsumption) DeepCopy 

func (in *ResourceConsumption) DeepCopy() *ResourceConsumption

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ResourceConsumption.

func (*ResourceConsumption) DeepCopyInto 

func (in *ResourceConsumption) DeepCopyInto(out *ResourceConsumption)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ResourceConsumption) Descriptor 

func (*ResourceConsumption) Descriptor() ([]byte, []int)

func (*ResourceConsumption) Marshal 

func (m *ResourceConsumption) Marshal() (dAtA []byte, err error)

func (*ResourceConsumption) MarshalTo 

func (m *ResourceConsumption) MarshalTo(dAtA []byte) (int, error)

func (*ResourceConsumption) MarshalToSizedBuffer 

func (m *ResourceConsumption) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ResourceConsumption) ProtoMessage 

func (*ResourceConsumption) ProtoMessage()

func (*ResourceConsumption) Reset 

func (m *ResourceConsumption) Reset()

func (*ResourceConsumption) Size 

func (m *ResourceConsumption) Size() (n int)

func (*ResourceConsumption) String 

func (this *ResourceConsumption) String() string

func (*ResourceConsumption) Unmarshal 

func (m *ResourceConsumption) Unmarshal(dAtA []byte) error

func (*ResourceConsumption) XXX_DiscardUnknown 

func (m *ResourceConsumption) XXX_DiscardUnknown()

func (*ResourceConsumption) XXX_Marshal 

func (m *ResourceConsumption) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ResourceConsumption) XXX_Merge 

func (m *ResourceConsumption) XXX_Merge(src proto.Message)

func (*ResourceConsumption) XXX_Size 

func (m *ResourceConsumption) XXX_Size() int

func (*ResourceConsumption) XXX_Unmarshal 

func (m *ResourceConsumption) XXX_Unmarshal(b []byte) error

type RuntimeStatus added in v0.4.805 

type RuntimeStatus struct {
	// The Python version of the data plane used during training
	// +kubebuilder:validation:Optional
	PythonVersion string `json:"pythonVersion,omitempty" protobuf:"bytes,1,opt,name=pythonVersion"`

	// The python command line
	// +kubebuilder:validation:Optional
	PythonCMD string `json:"pythonCmd,omitempty" protobuf:"bytes,2,opt,name=pythonCmd"`

	// The OS
	// +kubebuilder:validation:Optional
	OS string `json:"os,omitempty" protobuf:"bytes,3,opt,name=os"`

	// The Python packages used during training (which is the result of running pip freeze)
	// +kubebuilder:validation:Optional
	PythonPackages map[string]string `json:"pythonPackages,omitempty" protobuf:"bytes,4,opt,name=pythonPackages"`
}

Holds the information about the execution environment.

func (*RuntimeStatus) DeepCopy added in v0.4.805 

func (in *RuntimeStatus) DeepCopy() *RuntimeStatus

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new RuntimeStatus.

func (*RuntimeStatus) DeepCopyInto added in v0.4.805 

func (in *RuntimeStatus) DeepCopyInto(out *RuntimeStatus)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*RuntimeStatus) Descriptor added in v0.4.805 

func (*RuntimeStatus) Descriptor() ([]byte, []int)

func (*RuntimeStatus) Marshal added in v0.4.805 

func (m *RuntimeStatus) Marshal() (dAtA []byte, err error)

func (*RuntimeStatus) MarshalTo added in v0.4.805 

func (m *RuntimeStatus) MarshalTo(dAtA []byte) (int, error)

func (*RuntimeStatus) MarshalToSizedBuffer added in v0.4.805 

func (m *RuntimeStatus) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*RuntimeStatus) ProtoMessage added in v0.4.805 

func (*RuntimeStatus) ProtoMessage()

func (*RuntimeStatus) Reset added in v0.4.805 

func (m *RuntimeStatus) Reset()

func (*RuntimeStatus) Size added in v0.4.805 

func (m *RuntimeStatus) Size() (n int)

func (*RuntimeStatus) String added in v0.4.805 

func (this *RuntimeStatus) String() string

func (*RuntimeStatus) Unmarshal added in v0.4.805 

func (m *RuntimeStatus) Unmarshal(dAtA []byte) error

func (*RuntimeStatus) XXX_DiscardUnknown added in v0.4.805 

func (m *RuntimeStatus) XXX_DiscardUnknown()

func (*RuntimeStatus) XXX_Marshal added in v0.4.805 

func (m *RuntimeStatus) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*RuntimeStatus) XXX_Merge added in v0.4.805 

func (m *RuntimeStatus) XXX_Merge(src proto.Message)

func (*RuntimeStatus) XXX_Size added in v0.4.805 

func (m *RuntimeStatus) XXX_Size() int

func (*RuntimeStatus) XXX_Unmarshal added in v0.4.805 

func (m *RuntimeStatus) XXX_Unmarshal(b []byte) error

type SamplerName 

type SamplerName string

+kubebuilder:validation:Enum="random";"grid";"bayesian";"tpe";"manual";"auto"; 

const (
	RandomSearch     SamplerName = "random"
	GridSearch       SamplerName = "grid"
	BayesianSearch   SamplerName = "bayesian"
	TPESearch        SamplerName = "tpe"
	ManualSearch     SamplerName = "manual"
	AutoSearchMethod SamplerName = "auto"
)

type SearchSpec 

type SearchSpec struct {
	// The hyper-parameter optimization search method
	// +kubebuilder:default:=tpe
	// +kubebuilder:validation:Optional
	Sampler *SamplerName `json:"sampler,omitempty" protobuf:"bytes,1,opt,name=sampler"`
	// Pruner specifies the configuration to run a model search using a pruning algorithm. Using a pruning
	// algorithm allows you to train a large number of candidate models with a subset of the dataset
	// +kubebuilder:validation:Optional
	Pruner PrunerSpec `json:"pruner,omitempty" protobuf:"bytes,2,opt,name=pruner"`
	// The maximum cost that can be incurred before stopping the model search (applicable for deep learning models)
	// +kubebuilder:validation:Optional
	// +kubebuilder:default:=100
	// +kubebuilder:validation:Minimum=1
	// +kubebuilder:validation:Maximum=1000
	MaxCost *int32 `json:"maxCost,omitempty" protobuf:"varint,3,opt,name=maxCost"`
	// The maximum number of minutes, that the model search can run for
	// +kubebuilder:default:=60
	// +kubebuilder:validation:Minimum=1
	// +kubebuilder:validation:Maximum=10000
	// +kubebuilder:validation:Optional
	MaxTime *int32 `json:"maxTime,omitempty" protobuf:"varint,4,opt,name=maxTime"`
	// The maximum number of candidate models that will be sampled and trained
	// +kubebuilder:default:=10
	// +kubebuilder:validation:Minimum=1
	// +kubebuilder:validation:Maximum=1000
	// +kubebuilder:validation:Optional
	MaxModels *int32 `json:"maxModels,omitempty" protobuf:"varint,5,opt,name=maxModels"`
	// The minimum best score needed to finish the search. The system will finish the search when the minimum is reached.
	// Note that this number can be negative for a regression.
	// +kubebuilder:default:=9999999999
	// +kubebuilder:validation:Optional
	MinBestScore *float64 `json:"minBestScore,omitempty" protobuf:"bytes,6,opt,name=minBestScore"`
	// The desired number of trainers that will train candidate models in parallel. The number
	// of trainers is restricted based on the allowance provided by the active License
	// +kubebuilder:default:=1
	// +kubebuilder:validation:Optional
	// +kubebuilder:validation:Maximum=50
	// +kubebuilder:validation:Minimum=0
	Trainers *int32 `json:"trainers,omitempty" protobuf:"varint,7,opt,name=trainers"`
	// The number of top candidate models that will be moved to the testing phase once the model search is complete.
	// By default, only the best model will be retained
	// +kubebuilder:default:=1
	// +kubebuilder:validation:Minimum=1
	// +kubebuilder:validation:Maximum=5
	Test *int32 `json:"test,omitempty" protobuf:"varint,8,opt,name=test"`
	// The number of top candidate models, sorted by their objective score, that will be retained in
	// the case that garbage collection is enabled. All other models will be archived
	// +kubebuilder:default:=1
	// +kubebuilder:validation:Minimum=0
	// +kubebuilder:validation:Maximum=100
	RetainTop *int32 `json:"retainTop,omitempty" protobuf:"varint,9,opt,name=retainTop"`
	// The time, in minutes, for which candidate models (excluding the best model) will be
	// retained, after which they will be archived
	// +kubebuilder:default:=60
	// +kubebuilder:validation:Minimum=0
	// +kubebuilder:validation:Maximum=2400
	RetainFor *int32 `json:"retainedFor,omitempty" protobuf:"varint,10,opt,name=retainedFor"`
	// SearchSpace specifies the algorithms available to candidate models
	// +kubebuilder:validation:Optional
	SearchSpace AlgorithmSearchSpaceSpec `json:"searchSpace,omitempty" protobuf:"bytes,11,opt,name=searchSpace"`
	// The number of new models produced by the search which, if there is no improvement
	// in score, the model search will conclude
	// +kubebuilder:validation:Optional
	EarlyStop EarlyStopSpec `json:"earlyStop,omitempty" protobuf:"bytes,12,opt,name=earlyStop"`
	// The objective metric that will be measured against all models to evaluate their performance
	// +kubebuilder:validation:Optional
	Objective *catalog.Metric `json:"objective,omitempty" protobuf:"bytes,14,opt,name=objective"`
	// The second objective metric that will be measured and evaluated in tandem with the primary objective.
	// The model search optimizer will attempt to optimize both metrics
	// +kubebuilder:default:="none"
	// +kubebuilder:validation:Optional
	Objective2 *catalog.Metric `json:"objective2,omitempty" protobuf:"bytes,15,opt,name=objective2"`
	// Tune best model
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Tune *bool `json:"tune,omitempty" protobuf:"varint,16,opt,name=tune"`
}

SearchSpec specifies the configuration for a distributed model search

func (*SearchSpec) DeepCopy 

func (in *SearchSpec) DeepCopy() *SearchSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new SearchSpec.

func (*SearchSpec) DeepCopyInto 

func (in *SearchSpec) DeepCopyInto(out *SearchSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*SearchSpec) Default 

func (ms *SearchSpec) Default(task *catalog.MLTask)

func (*SearchSpec) Descriptor 

func (*SearchSpec) Descriptor() ([]byte, []int)

func (*SearchSpec) Marshal 

func (m *SearchSpec) Marshal() (dAtA []byte, err error)

func (*SearchSpec) MarshalTo 

func (m *SearchSpec) MarshalTo(dAtA []byte) (int, error)

func (*SearchSpec) MarshalToSizedBuffer 

func (m *SearchSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*SearchSpec) ProtoMessage 

func (*SearchSpec) ProtoMessage()

func (*SearchSpec) Reset 

func (m *SearchSpec) Reset()

func (*SearchSpec) Size 

func (m *SearchSpec) Size() (n int)

func (*SearchSpec) String 

func (this *SearchSpec) String() string

func (*SearchSpec) Unmarshal 

func (m *SearchSpec) Unmarshal(dAtA []byte) error

func (*SearchSpec) XXX_DiscardUnknown 

func (m *SearchSpec) XXX_DiscardUnknown()

func (*SearchSpec) XXX_Marshal 

func (m *SearchSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*SearchSpec) XXX_Merge 

func (m *SearchSpec) XXX_Merge(src proto.Message)

func (*SearchSpec) XXX_Size 

func (m *SearchSpec) XXX_Size() int

func (*SearchSpec) XXX_Unmarshal 

func (m *SearchSpec) XXX_Unmarshal(b []byte) error

type SeasonalityPeriodSpec added in v0.5.151 

type SeasonalityPeriodSpec struct {
	// Is the seasonality exist
	// +kubebuilder:validation:Optional
	Enabled *bool `json:"enabled,omitempty" protobuf:"varint,1,opt,name=enabled"`
	// Infer the seasonality
	// +kubebuilder:validation:Optional
	Auto *bool `json:"auto,omitempty" protobuf:"varint,2,opt,name=auto"`
	// If enabled, the number of data points in the interval
	// +kubebuilder:default:=0
	// +kubebuilder:validation:Optional
	FourierOrder *int32 `json:"fourierOrder,omitempty" protobuf:"varint,3,opt,name=fourierOrder"`
}

Define the seasonality for a period (yearly / monthly / daily)

func (*SeasonalityPeriodSpec) DeepCopy added in v0.5.151 

func (in *SeasonalityPeriodSpec) DeepCopy() *SeasonalityPeriodSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new SeasonalityPeriodSpec.

func (*SeasonalityPeriodSpec) DeepCopyInto added in v0.5.151 

func (in *SeasonalityPeriodSpec) DeepCopyInto(out *SeasonalityPeriodSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*SeasonalityPeriodSpec) Descriptor added in v0.5.151 

func (*SeasonalityPeriodSpec) Descriptor() ([]byte, []int)

func (*SeasonalityPeriodSpec) Marshal added in v0.5.151 

func (m *SeasonalityPeriodSpec) Marshal() (dAtA []byte, err error)

func (*SeasonalityPeriodSpec) MarshalTo added in v0.5.151 

func (m *SeasonalityPeriodSpec) MarshalTo(dAtA []byte) (int, error)

func (*SeasonalityPeriodSpec) MarshalToSizedBuffer added in v0.5.151 

func (m *SeasonalityPeriodSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*SeasonalityPeriodSpec) ProtoMessage added in v0.5.151 

func (*SeasonalityPeriodSpec) ProtoMessage()

func (*SeasonalityPeriodSpec) Reset added in v0.5.151 

func (m *SeasonalityPeriodSpec) Reset()

func (*SeasonalityPeriodSpec) Size added in v0.5.151 

func (m *SeasonalityPeriodSpec) Size() (n int)

func (*SeasonalityPeriodSpec) String added in v0.5.151 

func (this *SeasonalityPeriodSpec) String() string

func (*SeasonalityPeriodSpec) Unmarshal added in v0.5.151 

func (m *SeasonalityPeriodSpec) Unmarshal(dAtA []byte) error

func (*SeasonalityPeriodSpec) XXX_DiscardUnknown added in v0.5.151 

func (m *SeasonalityPeriodSpec) XXX_DiscardUnknown()

func (*SeasonalityPeriodSpec) XXX_Marshal added in v0.5.151 

func (m *SeasonalityPeriodSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*SeasonalityPeriodSpec) XXX_Merge added in v0.5.151 

func (m *SeasonalityPeriodSpec) XXX_Merge(src proto.Message)

func (*SeasonalityPeriodSpec) XXX_Size added in v0.5.151 

func (m *SeasonalityPeriodSpec) XXX_Size() int

func (*SeasonalityPeriodSpec) XXX_Unmarshal added in v0.5.151 

func (m *SeasonalityPeriodSpec) XXX_Unmarshal(b []byte) error

type SeasonalitySpec added in v0.4.150 

type SeasonalitySpec struct {
	// If true infer the seasonality
	// +kubebuilder:validation:Optional
	Auto *bool `json:"auto,omitempty" protobuf:"varint,1,opt,name=auto"`
	// +kubebuilder:validation:Optional
	Yearly *SeasonalityPeriodSpec `json:"yearly,omitempty" protobuf:"bytes,2,opt,name=yearly"`
	// +kubebuilder:validation:Optional
	Quarterly *SeasonalityPeriodSpec `json:"quarterly,omitempty" protobuf:"bytes,3,opt,name="`
	// +kubebuilder:validation:Optional
	Monthly *SeasonalityPeriodSpec `json:"monthly,omitempty" protobuf:"bytes,4,opt,name=monthly"`
	// +kubebuilder:validation:Optional
	Weekly *SeasonalityPeriodSpec `json:"weekly,omitempty" protobuf:"bytes,5,opt,name=weekly"`
	// +kubebuilder:validation:Optional
	Daily *SeasonalityPeriodSpec `json:"daily,omitempty" protobuf:"bytes,6,opt,name=daily"`
}

func (*SeasonalitySpec) DeepCopy added in v0.4.150 

func (in *SeasonalitySpec) DeepCopy() *SeasonalitySpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new SeasonalitySpec.

func (*SeasonalitySpec) DeepCopyInto added in v0.4.150 

func (in *SeasonalitySpec) DeepCopyInto(out *SeasonalitySpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*SeasonalitySpec) Descriptor added in v0.4.150 

func (*SeasonalitySpec) Descriptor() ([]byte, []int)

func (*SeasonalitySpec) Marshal added in v0.4.150 

func (m *SeasonalitySpec) Marshal() (dAtA []byte, err error)

func (*SeasonalitySpec) MarshalTo added in v0.4.150 

func (m *SeasonalitySpec) MarshalTo(dAtA []byte) (int, error)

func (*SeasonalitySpec) MarshalToSizedBuffer added in v0.4.150 

func (m *SeasonalitySpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*SeasonalitySpec) ProtoMessage added in v0.4.150 

func (*SeasonalitySpec) ProtoMessage()

func (*SeasonalitySpec) Reset added in v0.4.150 

func (m *SeasonalitySpec) Reset()

func (*SeasonalitySpec) Size added in v0.4.150 

func (m *SeasonalitySpec) Size() (n int)

func (*SeasonalitySpec) String added in v0.4.150 

func (this *SeasonalitySpec) String() string

func (*SeasonalitySpec) Unmarshal added in v0.4.150 

func (m *SeasonalitySpec) Unmarshal(dAtA []byte) error

func (*SeasonalitySpec) XXX_DiscardUnknown added in v0.4.150 

func (m *SeasonalitySpec) XXX_DiscardUnknown()

func (*SeasonalitySpec) XXX_Marshal added in v0.4.150 

func (m *SeasonalitySpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*SeasonalitySpec) XXX_Merge added in v0.4.150 

func (m *SeasonalitySpec) XXX_Merge(src proto.Message)

func (*SeasonalitySpec) XXX_Size added in v0.4.150 

func (m *SeasonalitySpec) XXX_Size() int

func (*SeasonalitySpec) XXX_Unmarshal added in v0.4.150 

func (m *SeasonalitySpec) XXX_Unmarshal(b []byte) error

type SeasonalityType added in v0.5.140 

type SeasonalityType string
const (
	SeasonalityTypeHourly  SeasonalityType = "hourly"
	SeasonalityTypeDaily   SeasonalityType = "daily"
	SeasonalityTypeWeekly  SeasonalityType = "weekly"
	SeasonalityTypeMonthly SeasonalityType = "monthly"
	SeasonalityTypeYearly  SeasonalityType = "yearly"
)

type SegmentSpec 

type SegmentSpec struct {
	// The name of the column
	// +kubebuilder:validation:Required
	// +required
	ColumnName *string `json:"columnName,omitempty" protobuf:"bytes,1,opt,name=columnName"`
	// The segment operation
	// +kubebuilder:validation:Required
	// +required
	OP *catalog.Op `json:"op,omitempty" protobuf:"bytes,2,opt,name=op"`
	// The value operation
	// +kubebuilder:validation:Required
	// +required
	Value *string `json:"value,omitempty" protobuf:"bytes,3,opt,name=value"`
}

func (*SegmentSpec) DeepCopy 

func (in *SegmentSpec) DeepCopy() *SegmentSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new SegmentSpec.

func (*SegmentSpec) DeepCopyInto 

func (in *SegmentSpec) DeepCopyInto(out *SegmentSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*SegmentSpec) Descriptor 

func (*SegmentSpec) Descriptor() ([]byte, []int)

func (*SegmentSpec) Marshal 

func (m *SegmentSpec) Marshal() (dAtA []byte, err error)

func (*SegmentSpec) MarshalTo 

func (m *SegmentSpec) MarshalTo(dAtA []byte) (int, error)

func (*SegmentSpec) MarshalToSizedBuffer 

func (m *SegmentSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*SegmentSpec) ProtoMessage 

func (*SegmentSpec) ProtoMessage()

func (*SegmentSpec) Reset 

func (m *SegmentSpec) Reset()

func (*SegmentSpec) Size 

func (m *SegmentSpec) Size() (n int)

func (*SegmentSpec) String 

func (this *SegmentSpec) String() string

func (*SegmentSpec) Unmarshal 

func (m *SegmentSpec) Unmarshal(dAtA []byte) error

func (*SegmentSpec) XXX_DiscardUnknown 

func (m *SegmentSpec) XXX_DiscardUnknown()

func (*SegmentSpec) XXX_Marshal 

func (m *SegmentSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*SegmentSpec) XXX_Merge 

func (m *SegmentSpec) XXX_Merge(src proto.Message)

func (*SegmentSpec) XXX_Size 

func (m *SegmentSpec) XXX_Size() int

func (*SegmentSpec) XXX_Unmarshal 

func (m *SegmentSpec) XXX_Unmarshal(b []byte) error

type ServingSpec added in v0.4.399 

type ServingSpec struct {
	// +kubebuilder:validation:Optional
	Resources catalog.ResourceSpec `json:"resources,omitempty" protobuf:"bytes,1,opt,name=resources"`
	// +kubebuilder:default:="cloudpickle"
	// +kubebuilder:validation:Optional
	Format *catalog.ModelServingFormat `json:"format,omitempty" protobuf:"bytes,2,opt,name=format"`
}

ServingSpec specifies the requirements to serve a model

func (*ServingSpec) DeepCopy added in v0.4.399 

func (in *ServingSpec) DeepCopy() *ServingSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ServingSpec.

func (*ServingSpec) DeepCopyInto added in v0.4.399 

func (in *ServingSpec) DeepCopyInto(out *ServingSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ServingSpec) Descriptor added in v0.4.399 

func (*ServingSpec) Descriptor() ([]byte, []int)

func (*ServingSpec) Marshal added in v0.4.399 

func (m *ServingSpec) Marshal() (dAtA []byte, err error)

func (*ServingSpec) MarshalTo added in v0.4.399 

func (m *ServingSpec) MarshalTo(dAtA []byte) (int, error)

func (*ServingSpec) MarshalToSizedBuffer added in v0.4.399 

func (m *ServingSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ServingSpec) ProtoMessage added in v0.4.399 

func (*ServingSpec) ProtoMessage()

func (*ServingSpec) Reset added in v0.4.399 

func (m *ServingSpec) Reset()

func (*ServingSpec) Size added in v0.4.399 

func (m *ServingSpec) Size() (n int)

func (*ServingSpec) String added in v0.4.399 

func (this *ServingSpec) String() string

func (*ServingSpec) Unmarshal added in v0.4.399 

func (m *ServingSpec) Unmarshal(dAtA []byte) error

func (*ServingSpec) XXX_DiscardUnknown added in v0.4.399 

func (m *ServingSpec) XXX_DiscardUnknown()

func (*ServingSpec) XXX_Marshal added in v0.4.399 

func (m *ServingSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ServingSpec) XXX_Merge added in v0.4.399 

func (m *ServingSpec) XXX_Merge(src proto.Message)

func (*ServingSpec) XXX_Size added in v0.4.399 

func (m *ServingSpec) XXX_Size() int

func (*ServingSpec) XXX_Unmarshal added in v0.4.399 

func (m *ServingSpec) XXX_Unmarshal(b []byte) error

type StageName 

type StageName string

+kubebuilder:validation:Enum="data";"train";"uat";"capacity";"deployment";"release" 

const (
	DataStage       StageName = "data"
	TrainStage      StageName = "training"
	UatStage        StageName = "uat"
	CapacityStage   StageName = "capacity"
	DeploymentStage StageName = "deployment"
	ReleaseStage    StageName = "release"
	MonitoringStage StageName = "monitoring"
	LabelingStage   StageName = "labeling"
)

type StageStatusPhase 

type StageStatusPhase string
const (
	StageStatusPhaseRunning            StageStatusPhase = "Running"
	StageStatusPhaseTraining           StageStatusPhase = "Training"   // search and train for the best model
	StageStatusPhasePublishing         StageStatusPhase = "Publishing" // publish the model
	StageStatusPhaseUnitTests          StageStatusPhase = "UnitTesting"
	StageStatusPhaseReleasing          StageStatusPhase = "Releasing"
	StageStatusPhaseWaitingForApproval StageStatusPhase = "WaitingForApproval"
	StageStatusPhaseApproved           StageStatusPhase = "Approved"
	StageStatusPhaseDenied             StageStatusPhase = "Denied"
	StageStatusPhaseCompleted          StageStatusPhase = "Completed"
	StageStatusPhaseFailed             StageStatusPhase = "Failed"
)

type Study 

type Study struct {
	metav1.TypeMeta   `json:",inline"`
	metav1.ObjectMeta `json:"metadata,omitempty" protobuf:"bytes,1,opt,name=metadata"`
	Spec              StudySpec `json:"spec,omitempty" protobuf:"bytes,2,opt,name=spec"`
	//+optional
	Status StudyStatus `json:"status,omitempty" protobuf:"bytes,3,opt,name=status"`
}

Study represents an automatic search for the best machine learning model for a given dataset +kubebuilder:subresource:status +kubebuilder:object:root=true +kubebuilder:storageversion +kubebuilder:printcolumn:name="Status",type="string",JSONPath=".status.phase" +kubebuilder:printcolumn:name="Progress",type="number",JSONPath=".status.progress",priority=1 +kubebuilder:printcolumn:name="Owner",type="string",JSONPath=".spec.owner",priority=1 +kubebuilder:printcolumn:name="Version",type="string",JSONPath=".spec.versionName",priority=1 +kubebuilder:printcolumn:name="Entity",type="string",JSONPath=".spec.datasetName" +kubebuilder:printcolumn:name="Task",type="string",JSONPath=".spec.task" +kubebuilder:printcolumn:name="Objective",type="string",JSONPath=".spec.search.objective" +kubebuilder:printcolumn:name="Score",type="number",JSONPath=".status.bestModelScore" +kubebuilder:printcolumn:name="Best model",type="string",JSONPath=".status.bestModel" +kubebuilder:printcolumn:name="Trained",type="number",JSONPath=".status.search.completed" +kubebuilder:printcolumn:name="Tested",type="number",JSONPath=".status.test.completed" +kubebuilder:printcolumn:name="StartTime",type="date",JSONPath=".status.startTime",priority=1 +kubebuilder:printcolumn:name="CompletionTime",type="date",JSONPath=".status.completionTime",priority=1 +kubebuilder:printcolumn:name="Last Failure",type="string",JSONPath=".status.lastFailure" +kubebuilder:printcolumn:name="Age",type="date",JSONPath=".metadata.creationTimestamp" +kubebuilder:resource:path=studies,singular=study,shortName=sd,categories={training,modela}

func NewStudy 

func NewStudy(ns string, name string, dataset string) *Study

func ParseStudyYaml 

func ParseStudyYaml(content []byte) (*Study, error)

func (Study) Aborted 

func (study Study) Aborted() bool

func (*Study) AddFinalizer 

func (study *Study) AddFinalizer()

func (*Study) AddPipelineLable 

func (study *Study) AddPipelineLable(pipeline string)

func (Study) ArchiveKey added in v0.4.515 

func (study Study) ArchiveKey() string

func (*Study) AutoGenTSFeatures added in v0.5.118 

func (study *Study) AutoGenTSFeatures()

func (*Study) AutoSplit added in v0.4.514 

func (study *Study) AutoSplit(rows int32)

use to sort the model by score

func (Study) Baselined 

func (study Study) Baselined() bool

func (Study) CanStart 

func (study Study) CanStart() bool

func (Study) CompletionAlert added in v0.4.601 

func (study Study) CompletionAlert(tenantRef *v1.ObjectReference, notifierName *string) *infra.Alert

func (*Study) CreateOrUpdateCond 

func (study *Study) CreateOrUpdateCond(cond StudyCondition)

Merge or update condition

func (Study) CreatePartitionsPaths 

func (study Study) CreatePartitionsPaths() []string

based on the levels in the study, create all the paths

func (*Study) CreateReport 

func (study *Study) CreateReport(key string, bucketName string) *Report

func (*Study) DeepCopy 

func (in *Study) DeepCopy() *Study

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new Study.

func (*Study) DeepCopyInto 

func (in *Study) DeepCopyInto(out *Study)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*Study) DeepCopyObject 

func (in *Study) DeepCopyObject() runtime.Object

DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object.

func (*Study) Default 

func (study *Study) Default()

func (Study) DefaultBaselineEstimator added in v0.4.383 

func (study Study) DefaultBaselineEstimator(task catalog.MLTask) catalog.ClassicEstimatorName

func (Study) DefaultFESearchEstimator added in v0.4.379 

func (study Study) DefaultFESearchEstimator(task catalog.MLTask) catalog.ClassicEstimatorName

func (Study) DefaultObjective added in v0.5.246 

func (study Study) DefaultObjective(task catalog.MLTask) catalog.Metric

func (Study) Deleted 

func (study Study) Deleted() bool

func (*Study) Descriptor 

func (*Study) Descriptor() ([]byte, []int)

func (Study) EnsembleTrained 

func (study Study) EnsembleTrained() bool

func (Study) Ensembled 

func (study Study) Ensembled() bool

func (Study) ErrorAlert added in v0.4.601 

func (study Study) ErrorAlert(tenantRef *v1.ObjectReference, notifierName *string, err error) *infra.Alert

func (Study) FeatureEngineered 

func (study Study) FeatureEngineered() bool

func (Study) GetCond 

func (study Study) GetCond(t StudyConditionType) StudyCondition

func (*Study) GetCondIdx 

func (study *Study) GetCondIdx(t StudyConditionType) int

func (Study) GroupDataFolder added in v0.5.209 

func (study Study) GroupDataFolder(key []string) string

func (Study) GroupFolder added in v0.5.209 

func (study Study) GroupFolder(key []string) string

func (Study) GroupTestFile added in v0.5.210 

func (study Study) GroupTestFile(key []string) string

func (Study) GroupTrainFile added in v0.5.210 

func (study Study) GroupTrainFile(key []string) string

func (Study) HasFinalizer 

func (study Study) HasFinalizer() bool

func (Study) IsFailed 

func (study Study) IsFailed() bool

func (Study) IsFeatureEngineering added in v0.4.819 

func (r Study) IsFeatureEngineering() bool

func (Study) IsForecast 

func (r Study) IsForecast() bool

func (Study) IsGroup added in v0.5.155 

func (study Study) IsGroup() bool

func (Study) IsInCond 

func (study Study) IsInCond(ct StudyConditionType) bool

func (Study) IsPartitioned 

func (r Study) IsPartitioned() bool

func (Study) IsReady 

func (r Study) IsReady() bool

func (Study) IsRunning 

func (study Study) IsRunning() bool

func (Study) IsSearching added in v0.4.421 

func (r Study) IsSearching() bool

func (Study) LiveKey added in v0.4.515 

func (study Study) LiveKey() string

func (Study) ManifestUri 

func (study Study) ManifestUri() string

func (*Study) MarkAbortFailed added in v0.4.449 

func (study *Study) MarkAbortFailed(err string)

func (*Study) MarkAborted 

func (study *Study) MarkAborted()

func (*Study) MarkBaselineFailed 

func (study *Study) MarkBaselineFailed(err string)

func (*Study) MarkBaselined 

func (study *Study) MarkBaselined()

func (*Study) MarkBaselining 

func (study *Study) MarkBaselining()

func (*Study) MarkEnsembleFailed 

func (study *Study) MarkEnsembleFailed(err string)

func (*Study) MarkEnsembleTrained 

func (study *Study) MarkEnsembleTrained()

func (*Study) MarkEnsembled 

func (study *Study) MarkEnsembled()

func (*Study) MarkEnsembling 

func (study *Study) MarkEnsembling()

func (*Study) MarkFeatureEngineered 

func (study *Study) MarkFeatureEngineered()

func (*Study) MarkFeatureEngineering 

func (study *Study) MarkFeatureEngineering()

func (*Study) MarkFeatureEngineeringFailed 

func (study *Study) MarkFeatureEngineeringFailed(err string)

func (*Study) MarkGCFailed added in v0.4.506 

func (study *Study) MarkGCFailed(err string)

func (*Study) MarkModelFailed added in v0.4.820 

func (study *Study) MarkModelFailed(model *Model, err error)

///////////////////////////////////////////////// Mark study failed due to model failure ////////////////////////////////////////////////

func (*Study) MarkPartitioned 

func (study *Study) MarkPartitioned() bool

func (*Study) MarkPartitionedFailed added in v0.4.448 

func (study *Study) MarkPartitionedFailed(err string)

func (*Study) MarkPauseFailed added in v0.4.449 

func (study *Study) MarkPauseFailed(err string)

func (*Study) MarkPaused 

func (study *Study) MarkPaused()

func (*Study) MarkProfileFailed 

func (study *Study) MarkProfileFailed(err string)

func (*Study) MarkProfiled 

func (study *Study) MarkProfiled(url string)

func (*Study) MarkProfiling 

func (study *Study) MarkProfiling()

func (*Study) MarkReady 

func (study *Study) MarkReady()

func (*Study) MarkReadyFailed added in v0.4.506 

func (study *Study) MarkReadyFailed(err string)

func (*Study) MarkReportFailed 

func (study *Study) MarkReportFailed(err string)

func (*Study) MarkReported 

func (study *Study) MarkReported(name string)

func (*Study) MarkReporting 

func (study *Study) MarkReporting()

func (*Study) MarkResumed 

func (study *Study) MarkResumed()

func (*Study) MarkSaved 

func (study *Study) MarkSaved()

func (*Study) MarkSearchFailed 

func (study *Study) MarkSearchFailed(err string)

func (*Study) MarkSearched 

func (study *Study) MarkSearched()

func (*Study) MarkSearching 

func (study *Study) MarkSearching()

func (*Study) MarkSplitFailed 

func (study *Study) MarkSplitFailed(err string)

func (*Study) MarkSplitted 

func (study *Study) MarkSplitted()

func (*Study) MarkTested 

func (study *Study) MarkTested()

func (*Study) MarkTesting 

func (study *Study) MarkTesting()

func (*Study) MarkTestingFailed 

func (study *Study) MarkTestingFailed(err string)

func (*Study) MarkTransformFailed added in v0.5.135 

func (study *Study) MarkTransformFailed(err string)

func (*Study) MarkTransformed added in v0.5.135 

func (study *Study) MarkTransformed()

func (*Study) MarkTuned added in v0.5.139 

func (study *Study) MarkTuned()

func (*Study) MarkTuning added in v0.5.139 

func (study *Study) MarkTuning()

func (*Study) MarkTuningFailed added in v0.5.139 

func (study *Study) MarkTuningFailed(err string)

func (*Study) Marshal 

func (m *Study) Marshal() (dAtA []byte, err error)

func (*Study) MarshalTo 

func (m *Study) MarshalTo(dAtA []byte) (int, error)

func (*Study) MarshalToSizedBuffer 

func (m *Study) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*Study) MaxTimeOrModelReached 

func (study *Study) MaxTimeOrModelReached() bool

Answer true if the cv period ended.

func (Study) ModelTested 

func (study Study) ModelTested() bool

func (Study) ModelTuned added in v0.5.139 

func (study Study) ModelTuned() bool

func (Study) ModelsWaiting 

func (s Study) ModelsWaiting() bool

Tru if there are models waiting for test

func (Study) OpName 

func (study Study) OpName() string

This is the operation name for the study.

func (Study) Paused 

func (study Study) Paused() bool

------------------- Paused

func (Study) Phase 

func (study Study) Phase() StudyPhase

Compute the current phase based on the condition

func (Study) PipelineName 

func (study Study) PipelineName() string

func (Study) PrintConditions 

func (study Study) PrintConditions()

func (Study) Profiled 

func (study Study) Profiled() bool

func (*Study) ProtoMessage 

func (*Study) ProtoMessage()

func (Study) Random 

func (study Study) Random() bool

func (Study) ReachedMaxFEModels 

func (study Study) ReachedMaxFEModels() bool

func (Study) ReachedMaxFETime 

func (study Study) ReachedMaxFETime() bool

func (Study) ReachedMaxModels 

func (study Study) ReachedMaxModels() bool

func (Study) ReachedMaxTime 

func (study Study) ReachedMaxTime() bool

Enabled if we reached max time

func (Study) Ready 

func (study Study) Ready() bool

func (*Study) RefreshProgress 

func (study *Study) RefreshProgress()

func (*Study) RemoveFinalizer 

func (study *Study) RemoveFinalizer()

func (Study) ReportName 

func (study Study) ReportName() string

func (Study) ReportUri 

func (study Study) ReportUri() string

dataproducts/*/studies/*/study-<name>-report.pdf

func (Study) Reported 

func (study Study) Reported() bool

func (*Study) Reset 

func (m *Study) Reset()

func (Study) RootUri 

func (study Study) RootUri() string

func (Study) Saved 

func (study Study) Saved() bool

func (Study) Searched 

func (study Study) Searched() bool

func (Study) SelectSplitMethod added in v0.4.905 

func (study Study) SelectSplitMethod()

func (*Study) SetStartTime 

func (study *Study) SetStartTime()

func (*Study) SetTrainTest 

func (study *Study) SetTrainTest(rows int32)

Set the train/test validation based on the number of rows

func (*Study) SetupWebhookWithManager 

func (study *Study) SetupWebhookWithManager(mgr ctrl.Manager) error

Set up the webhook with the manager.

func (Study) ShouldEarlyStopFE added in v0.4.759 

func (study Study) ShouldEarlyStopFE() bool

func (Study) ShouldEarlyStopTraining added in v0.4.759 

func (study Study) ShouldEarlyStopTraining() bool

func (*Study) Size 

func (m *Study) Size() (n int)

func (Study) Splitted 

func (study Study) Splitted() bool

func (*Study) String 

func (this *Study) String() string

func (Study) TaskIndexFileKey added in v0.5.196 

func (study Study) TaskIndexFileKey(task string) string

func (Study) Tested 

func (study Study) Tested() bool

func (Study) Transformed added in v0.5.135 

func (study Study) Transformed() bool

func (Study) Tuned added in v0.5.139 

func (study Study) Tuned() bool

func (*Study) Unmarshal 

func (m *Study) Unmarshal(dAtA []byte) error

func (*Study) UpdateEndTime added in v0.4.607 

func (study *Study) UpdateEndTime()

func (Study) ValidateCreate 

func (study Study) ValidateCreate() error

ValidateCreate implements webhook.Validator so a webhook will be registered for the type

func (Study) ValidateDelete 

func (study Study) ValidateDelete() error

func (Study) ValidateUpdate 

func (study Study) ValidateUpdate(old runtime.Object) error

ValidateUpdate implements webhook.Validator so a webhook will be registered for the type

func (Study) WorkerIndexFileKey added in v0.5.193 

func (study Study) WorkerIndexFileKey(workerIndex int, task string) string

func (*Study) XXX_DiscardUnknown 

func (m *Study) XXX_DiscardUnknown()

func (*Study) XXX_Marshal 

func (m *Study) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*Study) XXX_Merge 

func (m *Study) XXX_Merge(src proto.Message)

func (*Study) XXX_Size 

func (m *Study) XXX_Size() int

func (*Study) XXX_Unmarshal 

func (m *Study) XXX_Unmarshal(b []byte) error

type StudyCondition 

type StudyCondition struct {
	// Type of study condition
	// +kubebuilder:validation:Optional
	Type StudyConditionType `json:"type" protobuf:"bytes,1,opt,name=type,casttype=StudyConditionType"`
	// Status of the condition, one of True, False, Unknown
	// +kubebuilder:validation:Optional
	Status v1.ConditionStatus `json:"status" protobuf:"bytes,2,opt,name=status,casttype=k8s.io/api/core/v1.ConditionStatus"`
	// Last time the condition transitioned from one status to another
	// +kubebuilder:validation:Optional
	LastTransitionTime *metav1.Time `json:"lastTransitionTime,omitempty" protobuf:"bytes,4,opt,name=lastTransitionTime"`
	// The reason for the condition's last transition
	// +kubebuilder:validation:Optional
	Reason string `json:"reason,omitempty" protobuf:"bytes,5,opt,name=reason"`
	// A human-readable message indicating details about the transition
	// +kubebuilder:validation:Optional
	Message string `json:"message,omitempty" protobuf:"bytes,6,opt,name=message"`
}

StudyCondition describes the state of a Study at a certain point

func (*StudyCondition) DeepCopy 

func (in *StudyCondition) DeepCopy() *StudyCondition

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new StudyCondition.

func (*StudyCondition) DeepCopyInto 

func (in *StudyCondition) DeepCopyInto(out *StudyCondition)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*StudyCondition) Descriptor 

func (*StudyCondition) Descriptor() ([]byte, []int)

func (*StudyCondition) Marshal 

func (m *StudyCondition) Marshal() (dAtA []byte, err error)

func (*StudyCondition) MarshalTo 

func (m *StudyCondition) MarshalTo(dAtA []byte) (int, error)

func (*StudyCondition) MarshalToSizedBuffer 

func (m *StudyCondition) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*StudyCondition) ProtoMessage 

func (*StudyCondition) ProtoMessage()

func (*StudyCondition) Reset 

func (m *StudyCondition) Reset()

func (*StudyCondition) Size 

func (m *StudyCondition) Size() (n int)

func (*StudyCondition) String 

func (this *StudyCondition) String() string

func (*StudyCondition) Unmarshal 

func (m *StudyCondition) Unmarshal(dAtA []byte) error

func (*StudyCondition) XXX_DiscardUnknown 

func (m *StudyCondition) XXX_DiscardUnknown()

func (*StudyCondition) XXX_Marshal 

func (m *StudyCondition) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*StudyCondition) XXX_Merge 

func (m *StudyCondition) XXX_Merge(src proto.Message)

func (*StudyCondition) XXX_Size 

func (m *StudyCondition) XXX_Size() int

func (*StudyCondition) XXX_Unmarshal 

func (m *StudyCondition) XXX_Unmarshal(b []byte) error

type StudyConditionType 

type StudyConditionType string

StudyConditionType is the condition of a Study 

const (
	// StudyInitialized states that the resources needed for training are allocated and ready
	StudyInitialized StudyConditionType = "Initialized"
	// StudySplit states that the training dataset has been split and is ready for use
	StudySplit StudyConditionType = "StudySplit"
	// Study Transformed states that the training dataset has been split and is ready for use
	StudyTransformed StudyConditionType = "StudyTransformed"
	// StudyFeatureEngineered states that the search for the best feature engineering pipeline is complete
	StudyFeatureEngineered StudyConditionType = "StudyFeaturesEngineered"
	// StudyBaselined states that baseline models for each algorithm have been trained
	StudyBaselined StudyConditionType = "StudyBaselined"
	// StudySearched states that the primary model search for algorithm and hyper-parameters is complete
	StudySearched StudyConditionType = "StudySearched"
	// StudyEnsembleCreated states that ensemble models were trained
	StudyEnsembleCreated StudyConditionType = "ModelsEnsembleCreated"
	// StudyTested states that the best model has been tested against training and testing datasets
	StudyTested StudyConditionType = "ModelTested"
	// StudyTested states that the best model has been tested against training and testing datasets
	StudyTuned StudyConditionType = "ModelTuned"

	// StudyReported states that a Report resource has been generated for the Study
	StudyReported  StudyConditionType = "Reported"
	StudyProfiled  StudyConditionType = "Profiled"
	StudyExplained StudyConditionType = "Explained"
	StudyAborted   StudyConditionType = "Aborted"
	// StudyPaused states that the execution of the Study is paused
	StudyPaused StudyConditionType = "Paused"
	// StudySaved states that the Study has been archived in a database
	StudySaved StudyConditionType = "Saved"
	// StudyCompleted states that the Study has completed execution
	StudyCompleted   StudyConditionType = "Completed"
	StudyPartitioned StudyConditionType = "Partitioned"
	StudyArchived    StudyConditionType = "Archived"
	StudyUnitTested  StudyConditionType = "UnitTested"
)

/ Study Condition

type StudyGroupByStatus added in v0.5.182 

type StudyGroupByStatus struct {
	// The locations of the datasets profile files. Each file is the group
	// +kubebuilder:validation:Optional
	StudiesURI string `json:"studiesURI,omitempty" protobuf:"bytes,1,opt,name=studiesURI"`
	// Holds the worker on going result, when a worker finish, we update the location of thier result files
	// +kubebuilder:validation:Optional
	WorkerResults []catalog.WorkerRunResult `json:"workerResults,omitempty" protobuf:"bytes,2,opt,name=workerResults"`
}

func (*StudyGroupByStatus) DeepCopy added in v0.5.183 

func (in *StudyGroupByStatus) DeepCopy() *StudyGroupByStatus

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new StudyGroupByStatus.

func (*StudyGroupByStatus) DeepCopyInto added in v0.5.183 

func (in *StudyGroupByStatus) DeepCopyInto(out *StudyGroupByStatus)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*StudyGroupByStatus) Descriptor added in v0.5.182 

func (*StudyGroupByStatus) Descriptor() ([]byte, []int)

func (*StudyGroupByStatus) Marshal added in v0.5.182 

func (m *StudyGroupByStatus) Marshal() (dAtA []byte, err error)

func (*StudyGroupByStatus) MarshalTo added in v0.5.182 

func (m *StudyGroupByStatus) MarshalTo(dAtA []byte) (int, error)

func (*StudyGroupByStatus) MarshalToSizedBuffer added in v0.5.182 

func (m *StudyGroupByStatus) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*StudyGroupByStatus) ProtoMessage added in v0.5.182 

func (*StudyGroupByStatus) ProtoMessage()

func (*StudyGroupByStatus) Reset added in v0.5.182 

func (m *StudyGroupByStatus) Reset()

func (*StudyGroupByStatus) Size added in v0.5.182 

func (m *StudyGroupByStatus) Size() (n int)

func (*StudyGroupByStatus) String added in v0.5.182 

func (this *StudyGroupByStatus) String() string

func (*StudyGroupByStatus) Unmarshal added in v0.5.182 

func (m *StudyGroupByStatus) Unmarshal(dAtA []byte) error

func (*StudyGroupByStatus) XXX_DiscardUnknown added in v0.5.182 

func (m *StudyGroupByStatus) XXX_DiscardUnknown()

func (*StudyGroupByStatus) XXX_Marshal added in v0.5.182 

func (m *StudyGroupByStatus) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*StudyGroupByStatus) XXX_Merge added in v0.5.182 

func (m *StudyGroupByStatus) XXX_Merge(src proto.Message)

func (*StudyGroupByStatus) XXX_Size added in v0.5.182 

func (m *StudyGroupByStatus) XXX_Size() int

func (*StudyGroupByStatus) XXX_Unmarshal added in v0.5.182 

func (m *StudyGroupByStatus) XXX_Unmarshal(b []byte) error

type StudyList 

type StudyList struct {
	metav1.TypeMeta `json:",inline"`
	metav1.ListMeta `json:"metadata,omitempty" protobuf:"bytes,1,opt,name=metadata"`

	Items []Study `json:"items" protobuf:"bytes,2,rep,name=items"`
}

StudyList contains a list of Studies +kubebuilder:object:root=true

func (*StudyList) DeepCopy 

func (in *StudyList) DeepCopy() *StudyList

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new StudyList.

func (*StudyList) DeepCopyInto 

func (in *StudyList) DeepCopyInto(out *StudyList)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*StudyList) DeepCopyObject 

func (in *StudyList) DeepCopyObject() runtime.Object

DeepCopyObject is an autogenerated deepcopy function, copying the receiver, creating a new runtime.Object.

func (*StudyList) Descriptor 

func (*StudyList) Descriptor() ([]byte, []int)

func (*StudyList) Marshal 

func (m *StudyList) Marshal() (dAtA []byte, err error)

func (*StudyList) MarshalTo 

func (m *StudyList) MarshalTo(dAtA []byte) (int, error)

func (*StudyList) MarshalToSizedBuffer 

func (m *StudyList) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*StudyList) ProtoMessage 

func (*StudyList) ProtoMessage()

func (*StudyList) Reset 

func (m *StudyList) Reset()

func (*StudyList) Size 

func (m *StudyList) Size() (n int)

func (*StudyList) String 

func (this *StudyList) String() string

func (*StudyList) Unmarshal 

func (m *StudyList) Unmarshal(dAtA []byte) error

func (*StudyList) XXX_DiscardUnknown 

func (m *StudyList) XXX_DiscardUnknown()

func (*StudyList) XXX_Marshal 

func (m *StudyList) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*StudyList) XXX_Merge 

func (m *StudyList) XXX_Merge(src proto.Message)

func (*StudyList) XXX_Size 

func (m *StudyList) XXX_Size() int

func (*StudyList) XXX_Unmarshal 

func (m *StudyList) XXX_Unmarshal(b []byte) error

type StudyPhase 

type StudyPhase string

StudyPhase is the current phase of a Study 

const (
	StudyPhaseModelPending       StudyPhase = "Pending"
	StudyPhaseSplitting          StudyPhase = "Splitting"
	StudyPhaseSplit              StudyPhase = "Split"
	StudyPhaseTransforming       StudyPhase = "Transforming"
	StudyPhaseTransformed        StudyPhase = "Transformed"
	StudyPhaseEngineeringFeature StudyPhase = "EngineeringFeatures"
	StudyPhaseFeatureEngineered  StudyPhase = "FeaturesEngineered"
	StudyPhaseBaseline           StudyPhase = "Baselining"
	StudyPhaseBaselined          StudyPhase = "Baselined"
	StudyPhaseSearching          StudyPhase = "Searching"
	StudyPhaseSearched           StudyPhase = "Searched"
	StudyPhaseCreatingEnsembles  StudyPhase = "CreatingEnsembles"
	StudyPhaseCreatedEnsembles   StudyPhase = "CreatedEnsembles"
	StudyPhaseTuning             StudyPhase = "Tuning"
	StudyPhaseTuned              StudyPhase = "Tuned"
	StudyPhaseTesting            StudyPhase = "Testing"
	StudyPhaseTested             StudyPhase = "Tested"
	StudyPhaseUnitTesting        StudyPhase = "UnitTesting"
	StudyPhaseUnitTested         StudyPhase = "UnitTested"
	StudyPhaseReported           StudyPhase = "Reported"
	StudyPhaseReporting          StudyPhase = "Reporting"
	StudyPhaseProfiling          StudyPhase = "Profiling"
	StudyPhaseProfiled           StudyPhase = "Profiled"
	StudyPhaseExplaining         StudyPhase = "Explaining"
	StudyPhaseExplained          StudyPhase = "Explained"
	StudyPhaseCompleted          StudyPhase = "Completed"
	StudyPhaseFailed             StudyPhase = "Failed"
	StudyPhaseAborted            StudyPhase = "Aborted"
	StudyPhasePaused             StudyPhase = "Paused"
)

type StudyPhaseStatus 

type StudyPhaseStatus struct {
	// The time at which the phase started
	// +kubebuilder:validation:Optional
	StartTime *metav1.Time `json:"startTime,omitempty" protobuf:"bytes,1,opt,name=startTime"`
	// The time at which the phase concluded
	// +kubebuilder:validation:Optional
	EndTime *metav1.Time `json:"endTime,omitempty" protobuf:"bytes,2,opt,name=endTime"`
	// The number of models pending training
	// +kubebuilder:validation:Optional
	Waiting int32 `json:"waiting,omitempty" protobuf:"varint,3,opt,name=waiting"`
	// The number of models currently being trained
	// +kubebuilder:validation:Optional
	Running int32 `json:"running,omitempty" protobuf:"varint,4,opt,name=running"`
	// The number of models that experienced an error whilst training
	// +kubebuilder:validation:Optional
	Failed int32 `json:"failed,omitempty" protobuf:"varint,5,opt,name=failed"`
	// The number of models that have been successfully trained
	// +kubebuilder:validation:Optional
	Completed int32 `json:"completed,omitempty" protobuf:"varint,6,opt,name=completed"`
	// Best score so far in this phase. The best score is the value of the objective.
	// +kubebuilder:validation:Optional
	BestScore float64 `json:"bestScore,omitempty" protobuf:"varint,7,opt,name=bestScore"`
	// Actual number of models where no progress was made. This used to decide on early stop.
	// +kubebuilder:validation:Optional
	ModelsWithNoProgress int32 `json:"modelsWithNoProgress,omitempty" protobuf:"varint,8,opt,name=modelsWithNoProgress"`
}

StudyPhaseStatus contains the statistics for a single phase of a Study

func (*StudyPhaseStatus) DeepCopy 

func (in *StudyPhaseStatus) DeepCopy() *StudyPhaseStatus

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new StudyPhaseStatus.

func (*StudyPhaseStatus) DeepCopyInto 

func (in *StudyPhaseStatus) DeepCopyInto(out *StudyPhaseStatus)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*StudyPhaseStatus) Descriptor 

func (*StudyPhaseStatus) Descriptor() ([]byte, []int)

func (*StudyPhaseStatus) Marshal 

func (m *StudyPhaseStatus) Marshal() (dAtA []byte, err error)

func (*StudyPhaseStatus) MarshalTo 

func (m *StudyPhaseStatus) MarshalTo(dAtA []byte) (int, error)

func (*StudyPhaseStatus) MarshalToSizedBuffer 

func (m *StudyPhaseStatus) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*StudyPhaseStatus) ProtoMessage 

func (*StudyPhaseStatus) ProtoMessage()

func (*StudyPhaseStatus) Reset 

func (m *StudyPhaseStatus) Reset()

func (*StudyPhaseStatus) Size 

func (m *StudyPhaseStatus) Size() (n int)

func (*StudyPhaseStatus) String 

func (this *StudyPhaseStatus) String() string

func (*StudyPhaseStatus) Unmarshal 

func (m *StudyPhaseStatus) Unmarshal(dAtA []byte) error

func (*StudyPhaseStatus) XXX_DiscardUnknown 

func (m *StudyPhaseStatus) XXX_DiscardUnknown()

func (*StudyPhaseStatus) XXX_Marshal 

func (m *StudyPhaseStatus) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*StudyPhaseStatus) XXX_Merge 

func (m *StudyPhaseStatus) XXX_Merge(src proto.Message)

func (*StudyPhaseStatus) XXX_Size 

func (m *StudyPhaseStatus) XXX_Size() int

func (*StudyPhaseStatus) XXX_Unmarshal 

func (m *StudyPhaseStatus) XXX_Unmarshal(b []byte) error

type StudyScheduleSpec 

type StudyScheduleSpec struct {
	// Indicates if the schedule is enabled
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Enabled *bool `json:"enabled,omitempty" protobuf:"varint,1,opt,name=enabled"`
	// The time at which the ModelClass will begin execution
	// +kubebuilder:validation:Optional
	StartAt *metav1.Time `json:"startAt,omitempty" protobuf:"bytes,2,opt,name=startAt"`
}

StudyScheduleSpec specifies the parameters for a Study to be executed at a certain time

func (*StudyScheduleSpec) DeepCopy 

func (in *StudyScheduleSpec) DeepCopy() *StudyScheduleSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new StudyScheduleSpec.

func (*StudyScheduleSpec) DeepCopyInto 

func (in *StudyScheduleSpec) DeepCopyInto(out *StudyScheduleSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*StudyScheduleSpec) Descriptor 

func (*StudyScheduleSpec) Descriptor() ([]byte, []int)

func (*StudyScheduleSpec) Marshal 

func (m *StudyScheduleSpec) Marshal() (dAtA []byte, err error)

func (*StudyScheduleSpec) MarshalTo 

func (m *StudyScheduleSpec) MarshalTo(dAtA []byte) (int, error)

func (*StudyScheduleSpec) MarshalToSizedBuffer 

func (m *StudyScheduleSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*StudyScheduleSpec) ProtoMessage 

func (*StudyScheduleSpec) ProtoMessage()

func (*StudyScheduleSpec) Reset 

func (m *StudyScheduleSpec) Reset()

func (*StudyScheduleSpec) Size 

func (m *StudyScheduleSpec) Size() (n int)

func (*StudyScheduleSpec) String 

func (this *StudyScheduleSpec) String() string

func (*StudyScheduleSpec) Unmarshal 

func (m *StudyScheduleSpec) Unmarshal(dAtA []byte) error

func (*StudyScheduleSpec) XXX_DiscardUnknown 

func (m *StudyScheduleSpec) XXX_DiscardUnknown()

func (*StudyScheduleSpec) XXX_Marshal 

func (m *StudyScheduleSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*StudyScheduleSpec) XXX_Merge 

func (m *StudyScheduleSpec) XXX_Merge(src proto.Message)

func (*StudyScheduleSpec) XXX_Size 

func (m *StudyScheduleSpec) XXX_Size() int

func (*StudyScheduleSpec) XXX_Unmarshal 

func (m *StudyScheduleSpec) XXX_Unmarshal(b []byte) error

type StudySpec 

type StudySpec struct {
	// The name of the DataProductVersion which describes the version of the resource
	// that exists in the same DataProduct namespace as the resource
	// +kubebuilder:validation:MaxLength=63
	// +kubebuilder:default:=""
	// +kubebuilder:validation:Optional
	VersionName *string `json:"versionName" protobuf:"bytes,1,opt,name=versionName"`
	// The model class for this study
	// +kubebuilder:validation:Optional
	ModelClassName *string `json:"modelClassName,omitempty" protobuf:"bytes,2,opt,name=modelClassName"`
	// The user-provided description of the Study
	// +kubebuilder:default:=""
	// +kubebuilder:validation:MaxLength=512
	// +kubebuilder:validation:Optional
	Description *string `json:"description,omitempty" protobuf:"bytes,3,opt,name=description"`
	// The reference to the Lab under which the Model resources created by the Study will be trained.
	// If unspecified, the default Lab from the parent DataProduct will be used
	// +kubebuilder:validation:Optional
	LabRef v1.ObjectReference `json:"labRef,omitempty" protobuf:"bytes,4,opt,name=labRef"`
	// The name of the Entity resource that will be used to train models with.
	// The dataset will be split into individual training, testing, and validation datasets
	// +kubebuilder:validation:Required
	// +required
	DatasetName *string `json:"datasetName" protobuf:"bytes,5,opt,name=datasetName"`
	// The machine learning task type (i.e. regression, classification)
	// +kubebuilder:validation:Required
	// +required
	Task *catalog.MLTask `json:"task" protobuf:"bytes,6,opt,name=task"`
	// The machine learning subtask relevant to the primary task (text classification, image object detection, etc.)
	// +kubebuilder:default:=none
	// +kubebuilder:validation:Optional
	SubTask *catalog.MLSubtask `json:"subtask" protobuf:"bytes,7,opt,name=subtask"`
	// FESearch specifies the parameters to perform a feature engineering search
	// +kubebuilder:validation:Optional
	FESearch FeatureEngineeringSearchSpec `json:"feSearch,omitempty" protobuf:"bytes,8,opt,name=feSearch"`
	// Set the imbalance dataset handling.
	// +kubebuilder:validation:Optional
	ImbalanceHandler ImbalanceHandlingSpec `json:"imbalanceHandler,omitempty" protobuf:"bytes,9,opt,name=imbalanceHandler"`
	// Baseline specifies the parameters to generate baseline (default hyper-parameters) models
	// +kubebuilder:validation:Optional
	Baseline BaselineSpec `json:"baseline,omitempty" protobuf:"bytes,10,opt,name=baseline"`
	// Search specifies the configuration to perform the model search for the best algorithm and hyper-parameters
	// +kubebuilder:validation:Optional
	Search SearchSpec `json:"search,omitempty" protobuf:"bytes,11,opt,name=search"`
	// Ensembles specifies to parameters to generate ensemble models
	// +kubebuilder:validation:Optional
	Ensembles EnsemblesSpec `json:"ensembles,omitempty" protobuf:"bytes,12,opt,name=ensembles"`
	// TrainingTemplate specifies the configuration to train and evaluate models
	// +kubebuilder:validation:Optional
	TrainingTemplate TrainingSpec `json:"trainingTemplate,omitempty" protobuf:"bytes,13,opt,name=trainingTemplate"`
	// ServingTemplate specifies the model format and resource requirements that will be applied to
	// the Predictor created for the Model that will be selected by the Study
	// +kubebuilder:validation:Optional
	ServingTemplate ServingSpec `json:"servingTemplate,omitempty" protobuf:"bytes,14,opt,name=servingTemplate"`
	// ForecastSpec specifies the parameters required when generating a forecasting model
	// +kubebuilder:validation:Optional
	FctTemplate ForecasterSpec `json:"fctTemplate,omitempty" protobuf:"bytes,15,opt,name=fctTemplate"`
	// Schedule specifies the configuration to execute the Study at a later date
	// +kubebuilder:validation:Optional
	Schedule StudyScheduleSpec `json:"schedule,omitempty" protobuf:"bytes,16,opt,name=schedule"`
	// Interpretability specifies the parameters to create interpretability visualizations for the final model
	// +kubebuilder:validation:Optional
	Interpretability InterpretabilitySpec `json:"interpretability,omitempty" protobuf:"bytes,17,opt,name=interpretability"`
	// +kubebuilder:validation:Optional
	DriftDetector DriftModelSpec `json:"driftDetection,omitempty" protobuf:"bytes,18,opt,name=driftDetection"`
	// Aborted indicates that the execution of the Study and associated Models should be permanently stopped
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Aborted *bool `json:"aborted,omitempty" protobuf:"varint,19,opt,name=aborted"`
	// Reported indicates that a report will be generated for the Study
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	Reported *bool `json:"reported,omitempty" protobuf:"varint,20,opt,name=reported"`
	// Paused indicates that the execution of new workloads associated with the Study should be paused
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Paused *bool `json:"paused,omitempty" protobuf:"varint,21,opt,name=paused"`
	// Profiled indicates that the Study will be profiled after the conclusion of it's model search
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	Profiled *bool `json:"profiled,omitempty" protobuf:"varint,22,opt,name=profiled"`
	// ModelPublished indicates that a Docker image will be created containing the best model produced by the Study
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	ModelPublished *bool `json:"modelPublished,omitempty" protobuf:"varint,23,opt,name=modelPublished"`
	// ModelImagePushed indicates that if a Docker image of the best model will be pushed to a Docker image registry
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	ModelImagePushed *bool `json:"modelImagePushed,omitempty" protobuf:"varint,24,opt,name=modelImagePushed"`
	// ModelExplained indicates if interpretability diagrams, as specified
	// by the Interpretability field, will be produced for the final model
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	ModelExplained *bool `json:"modelExplained,omitempty" protobuf:"varint,25,opt,name=modelExplained"`
	// Fast indicates if Models associated with the Study should skip profiling, explaining, and reporting
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Fast *bool `json:"fast,omitempty" protobuf:"varint,26,opt,name=fast"`
	// The data location where Study artifacts (metadata, reports, and model artifacts) generated by the Study will be stored
	// +kubebuilder:validation:Optional
	Location data.DataLocation `json:"location,omitempty" protobuf:"bytes,27,opt,name=location"`
	// The name of the Account which created the object, which exists in the same tenant as the object
	// +kubebuilder:default:="no-one"
	// +kubebuilder:validation:Optional
	Owner *string `json:"owner,omitempty" protobuf:"bytes,28,opt,name=owner"`
	// CompilerSpec specifies the configuration to compile the best-selected model to a binary (currently unimplemented)
	//+kubebuilder:validation:Optional
	Compilation catalog.CompilerSpec `json:"compilation,omitempty" protobuf:"bytes,29,opt,name=compilation"`
	// Indicates if the Study is a template, in which case it will not be executed
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Template *bool `json:"template,omitempty" protobuf:"varint,30,opt,name=template"`
	// Indicates if the Study is flagged
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Flagged *bool `json:"flagged,omitempty" protobuf:"varint,31,opt,name=flagged"`
	// The notification specification that determines which notifiers will receive Alerts generated by the object
	//+kubebuilder:validation:Optional
	Notification catalog.NotificationSpec `json:"notification,omitempty" protobuf:"bytes,32,opt,name=notification"`
	// ModelImage specifies the configuration to upload Docker images of models to an image registry
	//+kubebuilder:validation:Optional
	ModelImage ModelImageSpec `json:"modelImage,omitempty" protobuf:"bytes,33,opt,name=modelImage"`
	// GarbageCollectionSpec specifies the configuration to automatically clean-up unused models
	//+kubebuilder:validation:Optional
	GC GarbageCollectionSpec `json:"gc,omitempty" protobuf:"bytes,34,opt,name=gc"`
	// The time-to-live, in seconds, for Model resources produced by the Study
	// +kubebuilder:default:=0
	// +kubebuilder:validation:Optional
	TTL *int32 `json:"ttl,omitempty" protobuf:"varint,35,opt,name=ttl"`
	// ModelVersion specifies the version assigned to all the Model resources produced by the Study
	// +kubebuilder:default:=""
	// +kubebuilder:validation:Optional
	ModelVersion *string `json:"modelVersion,omitempty" protobuf:"bytes,36,opt,name=modelVersion"`
	// The time, in seconds, after which the execution of the Study will be forcefully aborted (4 hours, by default)
	// +kubebuilder:default:= 14400
	// +kubebuilder:validation:Optional
	TimeoutInSecs *int32 `json:"timeoutInSecs,omitempty" protobuf:"varint,37,opt,name=timeoutInSecs"`
	// Not implemented. For future use. If true,generate code when the best model
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	CodeGenerated *bool `json:"codeGenerated,omitempty" protobuf:"varint,38,opt,name=codeGenerated"`
	// A template for models unit tests
	// +kubebuilder:validation:Optional
	UnitTestsTemplate catalog.TestSuite `json:"unitTestsTemplate,omitempty" protobuf:"bytes,39,opt,name=unitTestsTemplate"`
	// In case of a group by, those are the group locations
	// +kubebuilder:validation:Optional
	GroupLocations GroupSplitLocationsSpec `json:"groupLocations,omitempty" protobuf:"bytes,40,opt,name=groupLocations"`
}

StudySpec defines the desired state of a Study and the parameters for a model search

func (*StudySpec) DeepCopy 

func (in *StudySpec) DeepCopy() *StudySpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new StudySpec.

func (*StudySpec) DeepCopyInto 

func (in *StudySpec) DeepCopyInto(out *StudySpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*StudySpec) Descriptor 

func (*StudySpec) Descriptor() ([]byte, []int)

func (*StudySpec) Marshal 

func (m *StudySpec) Marshal() (dAtA []byte, err error)

func (*StudySpec) MarshalTo 

func (m *StudySpec) MarshalTo(dAtA []byte) (int, error)

func (*StudySpec) MarshalToSizedBuffer 

func (m *StudySpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*StudySpec) ProtoMessage 

func (*StudySpec) ProtoMessage()

func (*StudySpec) Reset 

func (m *StudySpec) Reset()

func (*StudySpec) Size 

func (m *StudySpec) Size() (n int)

func (*StudySpec) String 

func (this *StudySpec) String() string

func (*StudySpec) Unmarshal 

func (m *StudySpec) Unmarshal(dAtA []byte) error

func (*StudySpec) XXX_DiscardUnknown 

func (m *StudySpec) XXX_DiscardUnknown()

func (*StudySpec) XXX_Marshal 

func (m *StudySpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*StudySpec) XXX_Merge 

func (m *StudySpec) XXX_Merge(src proto.Message)

func (*StudySpec) XXX_Size 

func (m *StudySpec) XXX_Size() int

func (*StudySpec) XXX_Unmarshal 

func (m *StudySpec) XXX_Unmarshal(b []byte) error

type StudyStatus 

type StudyStatus struct {
	// Total models created for the study
	// +kubebuilder:validation:Optional
	Models int32 `json:"models,omitempty" protobuf:"varint,1,opt,name=models"`
	// StartTime represents the time at which the execution of the Study started
	// +kubebuilder:validation:Optional
	StartTime *metav1.Time `json:"startTime,omitempty" protobuf:"bytes,2,opt,name=startTime"`
	// EndTime represents the time at which the Study was marked as completed, failed, or aborted
	// +kubebuilder:validation:Optional
	EndTime *metav1.Time `json:"endTime,omitempty" protobuf:"bytes,3,opt,name=endTime"`
	// The name of the Model resource which was determined to be the highest-performing
	// +kubebuilder:validation:Optional
	BestModel string `json:"bestModel,omitempty" protobuf:"bytes,4,opt,name=bestModel"`
	// The score of the Model resource which was determined to be the highest-performing
	// +kubebuilder:validation:Optional
	BestModelScore float64 `json:"bestModelScore,omitempty" protobuf:"bytes,5,opt,name=bestModelScore"`
	// The URI of the raw profile data produced by the Study
	// +kubebuilder:validation:Optional
	ProfileUri string `json:"profileUri" protobuf:"bytes,6,opt,name=profileUri"`
	// The name of the Report resource produced by the Study
	// +kubebuilder:validation:Optional
	ReportUri string `json:"reportUri,omitempty" protobuf:"bytes,7,opt,name=reportUri"`
	// Reference to the report object that was generated for the dataset, which exists in the same Location Product namespace
	// as the object
	// +kubebuilder:validation:Optional
	ReportName string `json:"reportName,omitempty" protobuf:"bytes,8,opt,name=reportName"`
	// The phase of the Study
	// +kubebuilder:default:="Pending"
	// +kubebuilder:validation:Optional
	Phase StudyPhase `json:"phase" protobuf:"bytes,9,opt,name=phase"`
	// ObservedGeneration is the last generation that was acted on
	//+kubebuilder:validation:Optional
	ObservedGeneration int64 `json:"observedGeneration,omitempty" protobuf:"varint,10,opt,name=observedGeneration"`
	// TrainDatasetLocation specifies the location of the training dataset
	// +kubebuilder:validation:Optional
	TrainDatasetLocation data.DataLocation `json:"trainDataset,omitempty" protobuf:"bytes,11,opt,name=trainDataset"`
	// TestDatasetLocation specifies the location of the testing dataset
	// +kubebuilder:validation:Optional
	TestDatasetLocation data.DataLocation `json:"testDataset,omitempty" protobuf:"bytes,12,opt,name=testDataset"`
	// ValidationDataset specifies the location of the validation dataset
	// +kubebuilder:validation:Optional
	ValidationDataset data.DataLocation `json:"validationDataset,omitempty" protobuf:"bytes,13,opt,name=validationDataset"`
	// The Kubernetes-internal ID of the last Model resource generated by the Study
	LastModelID *int64 `json:"lastModelID,omitempty" protobuf:"varint,14,opt,name=lastModelID"`
	// In the case of failure, the Study resource controller will set this field with a failure reason
	//+kubebuilder:validation:Optional
	FailureReason *catalog.StatusError `json:"failureReason,omitempty" protobuf:"bytes,15,opt,name=failureReason"`
	// In the case of failure, the Study resource controller will set this field with a failure message
	//+kubebuilder:validation:Optional
	FailureMessage *string `json:"failureMessage,omitempty" protobuf:"bytes,16,opt,name=failureMessage"`
	// The number of rows in the training dataset
	// +kubebuilder:validation:Optional
	TrainingRows int32 `json:"trainingRows" protobuf:"varint,17,opt,name=trainingRows"`
	// The number of rows in the testing dataset
	// +kubebuilder:validation:Optional
	TestingRows int32 `json:"testingRows" protobuf:"varint,18,opt,name=testingRows"`
	// The number of rows in the validation dataset
	// +kubebuilder:validation:Optional
	ValidationRows int32 `json:"validationRows" protobuf:"varint,19,opt,name=validationRows"`
	// The progress percentage of the Study, which is derived from the Study's current phase
	// +kubebuilder:validation:Optional
	Progress int32 `json:"progress" protobuf:"varint,20,opt,name=progress"`
	// Sha 256 of the data sig
	// +kubebuilder:validation:Optional
	// TrainingDataHash specifies the hashes for datasets used by the Study
	//+kubebuilder:validation:Optional
	TrainingDataHash DataHashes `json:"trainingDataHash,omitempty" protobuf:"bytes,22,opt,name=trainingDataHash"`
	// The type of trigger which started the Study
	//+kubebuilder:validation:Optional
	TriggeredBy catalog.TriggerType `json:"triggeredBy,omitempty" protobuf:"bytes,23,opt,name=triggeredBy"`
	// Logs specifies the location of logs produced by workloads associated with the Study
	//+kubebuilder:validation:Optional
	Logs catalog.Logs `json:"logs,,omitempty" protobuf:"bytes,24,opt,name=logs"`
	// FeatureEngineeringStatus contains the status of the feature engineering phase
	//+kubebuilder:validation:Optional
	FeatureEngineeringStatus StudyPhaseStatus `json:"featureEngineering,,omitempty" protobuf:"bytes,25,opt,name=featureEngineering"`
	// BaselineStatus contains the status of the baseline phase
	//+kubebuilder:validation:Optional
	BaselineStatus StudyPhaseStatus `json:"baseline,omitempty" protobuf:"bytes,26,opt,name=baseline"`
	// SearchStatus contains the status of the model search phase
	//+kubebuilder:validation:Optional
	SearchStatus StudyPhaseStatus `json:"search,omitempty" protobuf:"bytes,27,opt,name=search"`
	// EnsembleStatus contains the status of the ensemble phase
	//+kubebuilder:validation:Optional
	EnsembleStatus StudyPhaseStatus `json:"ensemble,omitempty" protobuf:"bytes,28,opt,name=ensemble"`
	// TestStatus contains the status of the testing phase
	//+kubebuilder:validation:Optional
	TestStatus StudyPhaseStatus `json:"test,omitempty" protobuf:"bytes,29,opt,name=test"`
	// ExplainStatus contains the status of the explaining phase
	//+kubebuilder:validation:Optional
	ExplainStatus StudyPhaseStatus `json:"explain,omitempty" protobuf:"bytes,30,opt,name=explain"`
	// OutlierDetection is the status for outlier detection
	//+kubebuilder:validation:Optional
	DriftDetection DriftDetectorStatus `json:"driftDetection,omitempty" protobuf:"bytes,31,opt,name=driftDetection"`
	// The last time the object was updated
	//+kubebuilder:validation:Optional
	LastUpdated *metav1.Time `json:"lastUpdated,omitempty" protobuf:"bytes,32,opt,name=lastUpdated"`
	// BestFE specifies the best feature engineering pipeline produced by the Study
	//+kubebuilder:validation:Optional
	BestFE *FeatureEngineeringSpec `json:"bestFE,omitempty" protobuf:"bytes,33,opt,name=bestFE"`
	// GC specifies the status of garbage collection relevant to the Study
	GC GarbageCollectionStatus `json:"gc,omitempty" protobuf:"bytes,34,opt,name=gc"`
	// Study group by
	Groupby StudyGroupByStatus `json:"groupby,omitempty" protobuf:"bytes,35,opt,name=groupby"`
	// +optional
	// +patchMergeKey=type
	// +patchStrategy=merge
	Conditions []StudyCondition `json:"conditions,omitempty" patchStrategy:"merge" patchMergeKey:"type" protobuf:"bytes,36,rep,name=conditions"`
}

StudyStatus defines the observed state of a Study

func (*StudyStatus) DeepCopy 

func (in *StudyStatus) DeepCopy() *StudyStatus

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new StudyStatus.

func (*StudyStatus) DeepCopyInto 

func (in *StudyStatus) DeepCopyInto(out *StudyStatus)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*StudyStatus) Descriptor 

func (*StudyStatus) Descriptor() ([]byte, []int)

func (*StudyStatus) Marshal 

func (m *StudyStatus) Marshal() (dAtA []byte, err error)

func (*StudyStatus) MarshalTo 

func (m *StudyStatus) MarshalTo(dAtA []byte) (int, error)

func (*StudyStatus) MarshalToSizedBuffer 

func (m *StudyStatus) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*StudyStatus) ProtoMessage 

func (*StudyStatus) ProtoMessage()

func (*StudyStatus) Reset 

func (m *StudyStatus) Reset()

func (*StudyStatus) Size 

func (m *StudyStatus) Size() (n int)

func (*StudyStatus) String 

func (this *StudyStatus) String() string

func (*StudyStatus) Unmarshal 

func (m *StudyStatus) Unmarshal(dAtA []byte) error

func (*StudyStatus) XXX_DiscardUnknown 

func (m *StudyStatus) XXX_DiscardUnknown()

func (*StudyStatus) XXX_Marshal 

func (m *StudyStatus) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*StudyStatus) XXX_Merge 

func (m *StudyStatus) XXX_Merge(src proto.Message)

func (*StudyStatus) XXX_Size 

func (m *StudyStatus) XXX_Size() int

func (*StudyStatus) XXX_Unmarshal 

func (m *StudyStatus) XXX_Unmarshal(b []byte) error

type SuccessiveHalvingOptions 

type SuccessiveHalvingOptions struct {
	// Minimum number of reported trials.
	// +kubebuilder:default:=1
	// +kubebuilder:validation:Optional
	MinResources *int32 `json:"minResources,omitempty" protobuf:"varint,1,opt,name=minResources"`
	// A parameter for specifying reduction factor of promotable trials
	// +kubebuilder:default:=4
	// +kubebuilder:validation:Optional
	ReductionFactor *int32 `json:"reductionFactor,omitempty" protobuf:"varint,2,opt,name=reductionFactor"`
	// A parameter for specifying the minimum early-stopping rate
	// +kubebuilder:default:=0
	// +kubebuilder:validation:Optional
	MinEarlyStoppingRate *int32 `json:"minEarlyStoppingRate,omitempty" protobuf:"varint,3,opt,name=minEarlyStoppingRate"`
	// Minimum number of trials that need to complete a rung before any trial is considered for promotion into the next rung.
	// +kubebuilder:default:=0
	// +kubebuilder:validation:Optional
	BootstrapCount *int32 `json:"bootstrapCount,omitempty" protobuf:"varint,4,opt,name=bootstrapCount"`
}

func (*SuccessiveHalvingOptions) DeepCopy 

func (in *SuccessiveHalvingOptions) DeepCopy() *SuccessiveHalvingOptions

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new SuccessiveHalvingOptions.

func (*SuccessiveHalvingOptions) DeepCopyInto 

func (in *SuccessiveHalvingOptions) DeepCopyInto(out *SuccessiveHalvingOptions)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*SuccessiveHalvingOptions) Default 

func (svo *SuccessiveHalvingOptions) Default()

func (*SuccessiveHalvingOptions) Descriptor 

func (*SuccessiveHalvingOptions) Descriptor() ([]byte, []int)

func (*SuccessiveHalvingOptions) Marshal 

func (m *SuccessiveHalvingOptions) Marshal() (dAtA []byte, err error)

func (*SuccessiveHalvingOptions) MarshalTo 

func (m *SuccessiveHalvingOptions) MarshalTo(dAtA []byte) (int, error)

func (*SuccessiveHalvingOptions) MarshalToSizedBuffer 

func (m *SuccessiveHalvingOptions) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*SuccessiveHalvingOptions) ProtoMessage 

func (*SuccessiveHalvingOptions) ProtoMessage()

func (*SuccessiveHalvingOptions) Reset 

func (m *SuccessiveHalvingOptions) Reset()

func (*SuccessiveHalvingOptions) Size 

func (m *SuccessiveHalvingOptions) Size() (n int)

func (*SuccessiveHalvingOptions) String 

func (this *SuccessiveHalvingOptions) String() string

func (*SuccessiveHalvingOptions) Unmarshal 

func (m *SuccessiveHalvingOptions) Unmarshal(dAtA []byte) error

func (*SuccessiveHalvingOptions) XXX_DiscardUnknown 

func (m *SuccessiveHalvingOptions) XXX_DiscardUnknown()

func (*SuccessiveHalvingOptions) XXX_Marshal 

func (m *SuccessiveHalvingOptions) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*SuccessiveHalvingOptions) XXX_Merge 

func (m *SuccessiveHalvingOptions) XXX_Merge(src proto.Message)

func (*SuccessiveHalvingOptions) XXX_Size 

func (m *SuccessiveHalvingOptions) XXX_Size() int

func (*SuccessiveHalvingOptions) XXX_Unmarshal 

func (m *SuccessiveHalvingOptions) XXX_Unmarshal(b []byte) error

type SuccessiveHalvingSpec 

type SuccessiveHalvingSpec struct {
	// The budget to be used in a multi-fidelity search, for example the number of epochs
	// or the percentage of data to train the model with
	// +kubebuilder:validation:Optional
	// +kubebuilder:validation:Maximum=128
	// +kubebuilder:validation:Minimum=0
	Budget *int32 `json:"budget,omitempty" protobuf:"varint,1,opt,name=budget"`
	// The bracket of the model
	// +kubebuilder:validation:Optional
	// +kubebuilder:validation:Maximum=128
	// +kubebuilder:validation:Minimum=0
	Bracket *int32 `json:"bracket,omitempty" protobuf:"varint,2,opt,name=bracket"`
	// The rung of the model
	// +kubebuilder:validation:Optional
	// +kubebuilder:validation:Maximum=128
	// +kubebuilder:validation:Minimum=0
	Rung *int32 `json:"rung,omitempty" protobuf:"varint,3,opt,name=rung"`
	// The configuration ID allocated to the model
	// +kubebuilder:validation:Optional
	ConfID *int32 `json:"confID,omitempty" protobuf:"varint,4,opt,name=confID"`
	// The type of modality, based on the type of model
	// For classical models, it should be based on data percentage
	// For deep models, it should be based on epochs
	// +kubebuilder:validation:Optional
	Modality *catalog.ModalityType `json:"modality,omitempty" protobuf:"bytes,26,opt,name=modality"`
}

SuccessiveHalvingSpec records the position of a single model in a successive halving search

func (*SuccessiveHalvingSpec) DeepCopy 

func (in *SuccessiveHalvingSpec) DeepCopy() *SuccessiveHalvingSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new SuccessiveHalvingSpec.

func (*SuccessiveHalvingSpec) DeepCopyInto 

func (in *SuccessiveHalvingSpec) DeepCopyInto(out *SuccessiveHalvingSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*SuccessiveHalvingSpec) Descriptor 

func (*SuccessiveHalvingSpec) Descriptor() ([]byte, []int)

func (*SuccessiveHalvingSpec) Marshal 

func (m *SuccessiveHalvingSpec) Marshal() (dAtA []byte, err error)

func (*SuccessiveHalvingSpec) MarshalTo 

func (m *SuccessiveHalvingSpec) MarshalTo(dAtA []byte) (int, error)

func (*SuccessiveHalvingSpec) MarshalToSizedBuffer 

func (m *SuccessiveHalvingSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*SuccessiveHalvingSpec) ProtoMessage 

func (*SuccessiveHalvingSpec) ProtoMessage()

func (*SuccessiveHalvingSpec) Reset 

func (m *SuccessiveHalvingSpec) Reset()

func (*SuccessiveHalvingSpec) Size 

func (m *SuccessiveHalvingSpec) Size() (n int)

func (*SuccessiveHalvingSpec) String 

func (this *SuccessiveHalvingSpec) String() string

func (*SuccessiveHalvingSpec) Unmarshal 

func (m *SuccessiveHalvingSpec) Unmarshal(dAtA []byte) error

func (*SuccessiveHalvingSpec) XXX_DiscardUnknown 

func (m *SuccessiveHalvingSpec) XXX_DiscardUnknown()

func (*SuccessiveHalvingSpec) XXX_Marshal 

func (m *SuccessiveHalvingSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*SuccessiveHalvingSpec) XXX_Merge 

func (m *SuccessiveHalvingSpec) XXX_Merge(src proto.Message)

func (*SuccessiveHalvingSpec) XXX_Size 

func (m *SuccessiveHalvingSpec) XXX_Size() int

func (*SuccessiveHalvingSpec) XXX_Unmarshal 

func (m *SuccessiveHalvingSpec) XXX_Unmarshal(b []byte) error

type TextPipelineSpec 

type TextPipelineSpec struct {
	// The text encoder (e.g. TFIDF)
	// +kubebuilder:default:=auto
	// +kubebuilder:validation:Optional
	Encoder *catalog.TextEncoding `json:"encoder,omitempty" protobuf:"bytes,1,opt,name=encoder"`
	// The text tokenizer character
	// +kubebuilder:validation:Optional
	Tokenizer *string `json:"tokenizer,omitempty" protobuf:"bytes,2,opt,name=tokenizer"`
	// Indicates if the pipeline will add stop word handling
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	StopWords *bool `json:"stopwords,omitempty" protobuf:"varint,3,opt,name=stopwords"`
	// Indicates if the pipeline will add part-of-speech handling
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	Pos *bool `json:"pos,omitempty" protobuf:"varint,4,opt,name=pos"`
	// Indicates if the pipeline will implement lemmatization
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	Lemma *bool `json:"lemma,omitempty" protobuf:"varint,5,opt,name=lemma"`
	// Indicates if the pipeline will implement word stemming
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	Stem *bool `json:"stem,omitempty" protobuf:"varint,6,opt,name=stem"`
	// Indicates if the pipeline will generate a word embedding
	// +kubebuilder:validation:Optional
	Embedding *string `json:"embedding,omitempty" protobuf:"bytes,7,opt,name=embedding"`
	// Indicates if the pipeline will add singular value decomposition
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	Svd *bool `json:"svd,omitempty" protobuf:"varint,8,opt,name=svd"`
	// The maximum number of SVD components to use, if applicable
	// +kubebuilder:default:=0
	// +kubebuilder:validation:Optional
	MaxSvdComponents *int32 `json:"maxSvdComponents,omitempty" protobuf:"varint,9,opt,name=maxSvdComponents"`
}

TextPipelineSpec represents a single pipeline for transforming text data

func (*TextPipelineSpec) DeepCopy 

func (in *TextPipelineSpec) DeepCopy() *TextPipelineSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new TextPipelineSpec.

func (*TextPipelineSpec) DeepCopyInto 

func (in *TextPipelineSpec) DeepCopyInto(out *TextPipelineSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*TextPipelineSpec) Descriptor 

func (*TextPipelineSpec) Descriptor() ([]byte, []int)

func (*TextPipelineSpec) Marshal 

func (m *TextPipelineSpec) Marshal() (dAtA []byte, err error)

func (*TextPipelineSpec) MarshalTo 

func (m *TextPipelineSpec) MarshalTo(dAtA []byte) (int, error)

func (*TextPipelineSpec) MarshalToSizedBuffer 

func (m *TextPipelineSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*TextPipelineSpec) ProtoMessage 

func (*TextPipelineSpec) ProtoMessage()

func (*TextPipelineSpec) Reset 

func (m *TextPipelineSpec) Reset()

func (*TextPipelineSpec) Size 

func (m *TextPipelineSpec) Size() (n int)

func (*TextPipelineSpec) String 

func (this *TextPipelineSpec) String() string

func (*TextPipelineSpec) Unmarshal 

func (m *TextPipelineSpec) Unmarshal(dAtA []byte) error

func (*TextPipelineSpec) XXX_DiscardUnknown 

func (m *TextPipelineSpec) XXX_DiscardUnknown()

func (*TextPipelineSpec) XXX_Marshal 

func (m *TextPipelineSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*TextPipelineSpec) XXX_Merge 

func (m *TextPipelineSpec) XXX_Merge(src proto.Message)

func (*TextPipelineSpec) XXX_Size 

func (m *TextPipelineSpec) XXX_Size() int

func (*TextPipelineSpec) XXX_Unmarshal 

func (m *TextPipelineSpec) XXX_Unmarshal(b []byte) error

type ThresholdPrunerOptions added in v0.4.773 

type ThresholdPrunerOptions struct {
	// A minimum value which determines whether pruner prunes or not. If an intermediate value is smaller than lower, it prunes.
	// +kubebuilder:default:=0
	// +kubebuilder:validation:Optional
	Lower *float64 `json:"lower,omitempty" protobuf:"bytes,1,opt,name=lower"`
	// A maximum value which determines whether pruner prunes or not. If an intermediate value is larger than upper, it prunes.
	// +kubebuilder:default:=0
	// +kubebuilder:validation:Optional
	Upper *float64 `json:"upper,omitempty" protobuf:"bytes,2,opt,name=upper"`
	//  Pruning is disabled until the trial exceeds the given number of step
	// +kubebuilder:default:=0
	// +kubebuilder:validation:Optional
	WarmupSteps *int32 `json:"warmupSteps,omitempty" protobuf:"varint,3,opt,name=warmupSteps"`
	// Interval in number of steps between the pruning checks
	// +kubebuilder:default:=1
	// +kubebuilder:validation:Optional
	IntervalSteps *int32 `json:"intervalSteps,omitempty" protobuf:"varint,4,opt,name=intervalSteps"`
}

func (*ThresholdPrunerOptions) DeepCopy added in v0.4.773 

func (in *ThresholdPrunerOptions) DeepCopy() *ThresholdPrunerOptions

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ThresholdPrunerOptions.

func (*ThresholdPrunerOptions) DeepCopyInto added in v0.4.773 

func (in *ThresholdPrunerOptions) DeepCopyInto(out *ThresholdPrunerOptions)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*ThresholdPrunerOptions) Descriptor added in v0.4.773 

func (*ThresholdPrunerOptions) Descriptor() ([]byte, []int)

func (*ThresholdPrunerOptions) Marshal added in v0.4.773 

func (m *ThresholdPrunerOptions) Marshal() (dAtA []byte, err error)

func (*ThresholdPrunerOptions) MarshalTo added in v0.4.773 

func (m *ThresholdPrunerOptions) MarshalTo(dAtA []byte) (int, error)

func (*ThresholdPrunerOptions) MarshalToSizedBuffer added in v0.4.773 

func (m *ThresholdPrunerOptions) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*ThresholdPrunerOptions) ProtoMessage added in v0.4.773 

func (*ThresholdPrunerOptions) ProtoMessage()

func (*ThresholdPrunerOptions) Reset added in v0.4.773 

func (m *ThresholdPrunerOptions) Reset()

func (*ThresholdPrunerOptions) Size added in v0.4.773 

func (m *ThresholdPrunerOptions) Size() (n int)

func (*ThresholdPrunerOptions) String added in v0.4.773 

func (this *ThresholdPrunerOptions) String() string

func (*ThresholdPrunerOptions) Unmarshal added in v0.4.773 

func (m *ThresholdPrunerOptions) Unmarshal(dAtA []byte) error

func (*ThresholdPrunerOptions) XXX_DiscardUnknown added in v0.4.773 

func (m *ThresholdPrunerOptions) XXX_DiscardUnknown()

func (*ThresholdPrunerOptions) XXX_Marshal added in v0.4.773 

func (m *ThresholdPrunerOptions) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*ThresholdPrunerOptions) XXX_Merge added in v0.4.773 

func (m *ThresholdPrunerOptions) XXX_Merge(src proto.Message)

func (*ThresholdPrunerOptions) XXX_Size added in v0.4.773 

func (m *ThresholdPrunerOptions) XXX_Size() int

func (*ThresholdPrunerOptions) XXX_Unmarshal added in v0.4.773 

func (m *ThresholdPrunerOptions) XXX_Unmarshal(b []byte) error

type TimeSeriesEvent added in v0.5.140 

type TimeSeriesEvent struct {
	// Set to true if this event is an holiday
	// +kubebuilder:validation:Optional
	Name string `json:"name,omitempty" protobuf:"bytes,1,opt,name=name"`
	// Set to true if this event is an holiday
	// +kubebuilder:validation:Optional
	Method string `json:"method,omitempty" protobuf:"bytes,2,opt,name=method"`
	// Set to true if this event is an holiday
	// +kubebuilder:validation:Optional
	Holiday *bool `json:"holiday,omitempty" protobuf:"bytes,3,opt,name=holiday"`
	// If this event is an holiday, this is the holiday country
	// +kubebuilder:validation:Optional
	Country catalog.HolidayCountry `json:"country,omitempty" protobuf:"bytes,4,opt,name=country"`
	// Pre event window, that might have event effects
	// +kubebuilder:validation:Optional
	PreEvent *int32 `json:"preEvent,omitempty" protobuf:"bytes,5,opt,name=preEvent"`
	// Post event windows the might have event effects.
	// +kubebuilder:validation:Optional
	PostEvent *int32 `json:"postEvent,omitempty" protobuf:"bytes,6,opt,name=postEvent"`
	// The time points to mark the events
	// +kubebuilder:validation:Optional
	TimePoints []string `json:"timePoints,omitempty" protobuf:"bytes,7,opt,name=timePoints"`
}

func (*TimeSeriesEvent) DeepCopy added in v0.5.140 

func (in *TimeSeriesEvent) DeepCopy() *TimeSeriesEvent

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new TimeSeriesEvent.

func (*TimeSeriesEvent) DeepCopyInto added in v0.5.140 

func (in *TimeSeriesEvent) DeepCopyInto(out *TimeSeriesEvent)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*TimeSeriesEvent) Descriptor added in v0.5.140 

func (*TimeSeriesEvent) Descriptor() ([]byte, []int)

func (*TimeSeriesEvent) Marshal added in v0.5.140 

func (m *TimeSeriesEvent) Marshal() (dAtA []byte, err error)

func (*TimeSeriesEvent) MarshalTo added in v0.5.140 

func (m *TimeSeriesEvent) MarshalTo(dAtA []byte) (int, error)

func (*TimeSeriesEvent) MarshalToSizedBuffer added in v0.5.140 

func (m *TimeSeriesEvent) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*TimeSeriesEvent) ProtoMessage added in v0.5.140 

func (*TimeSeriesEvent) ProtoMessage()

func (*TimeSeriesEvent) Reset added in v0.5.140 

func (m *TimeSeriesEvent) Reset()

func (*TimeSeriesEvent) Size added in v0.5.140 

func (m *TimeSeriesEvent) Size() (n int)

func (*TimeSeriesEvent) String added in v0.5.140 

func (this *TimeSeriesEvent) String() string

func (*TimeSeriesEvent) Unmarshal added in v0.5.140 

func (m *TimeSeriesEvent) Unmarshal(dAtA []byte) error

func (*TimeSeriesEvent) XXX_DiscardUnknown added in v0.5.140 

func (m *TimeSeriesEvent) XXX_DiscardUnknown()

func (*TimeSeriesEvent) XXX_Marshal added in v0.5.140 

func (m *TimeSeriesEvent) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*TimeSeriesEvent) XXX_Merge added in v0.5.140 

func (m *TimeSeriesEvent) XXX_Merge(src proto.Message)

func (*TimeSeriesEvent) XXX_Size added in v0.5.140 

func (m *TimeSeriesEvent) XXX_Size() int

func (*TimeSeriesEvent) XXX_Unmarshal added in v0.5.140 

func (m *TimeSeriesEvent) XXX_Unmarshal(b []byte) error

type TrainingSpec 

type TrainingSpec struct {
	// The reference to the Lab under which the model training Job will be created
	LabRef v1.ObjectReference `json:"labRef,omitempty" protobuf:"bytes,1,opt,name=labRef"`
	// The priority of the Kubernetes Job created by the Model (medium, by default)
	// +kubebuilder:validation:Optional
	// +kubebuilder:default:="medium"
	Priority *catalog.PriorityLevel `json:"priority,omitempty" protobuf:"bytes,2,opt,name=priority"`
	// The type of cross-validation to use, in the case that a validation dataset is not enabled
	// +kubebuilder:default:=kfold
	// +kubebuilder:validation:Optional
	CvType *catalog.CvType `json:"cvtype,omitempty" protobuf:"bytes,3,opt,name=cvtype"`
	// Indicates if cross-validation should be used to score models
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	CV *bool `json:"cv,omitempty" protobuf:"varint,4,opt,name=cV"`
	// The number of folds to use during cross-validation
	// +kubebuilder:default:=5
	// +kubebuilder:validation:Optional
	Folds *int32 `json:"folds,omitempty" protobuf:"varint,5,opt,name=folds"`
	// Split specifies the configuration to generate training, testing, and validation datasets
	// +kubebuilder:validation:Optional
	Split DataSplitSpec `json:"split,omitempty" protobuf:"bytes,6,opt,name=split"`
	// EvalMetrics specifies the collection of metrics that will be evaluated after model training is complete
	// +kubebuilder:validation:Optional
	EvalMetrics []catalog.Metric `json:"evalMetrics,omitempty" protobuf:"bytes,7,rep,name=evalMetrics"`
	// SuccessiveHalving specifies the configuration for a Study to execute a model search using successive halving
	// +kubebuilder:validation:Optional
	SH *SuccessiveHalvingSpec `json:"sh,omitempty" protobuf:"bytes,10,opt,name=sh"`
	// The random state used for the model's estimator, if applicable (for example, in RandomForestClassifier)
	// +kubebuilder:default:=42
	// +kubebuilder:validation:Optional
	Seed *float64 `json:"seed,omitempty" protobuf:"bytes,11,opt,name=seed"`
	// Resources specifies the resource requirements allocated to the model training workload
	// +kubebuilder:validation:Optional
	Resources catalog.ResourceSpec `json:"resources,omitempty" protobuf:"bytes,12,opt,name=resources"`
	// Indicates if a GPU will be allocated for model training
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Gpu *bool `json:"gpu,omitempty" protobuf:"varint,13,opt,name=gpu"`
	// Indicates if model training will be distributed across multiple nodes (currently unimplemented)
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Distributed *bool `json:"distributed,omitempty" protobuf:"varint,14,opt,name=distributed"`
	// Indicates if feature importance for the model will be computed as part of training. Some algorithms
	// (e.g. Random Forest) have built in support for feature importance
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	FeatureImportance *bool `json:"featureImportance,omitempty" protobuf:"varint,15,opt,name=featureImportance"`
	// The number of nodes to use, in the case of distributed training
	// +kubebuilder:default:=1
	// +kubebuilder:validation:Optional
	NodeCount *int32 `json:"nodeCount,omitempty" protobuf:"varint,16,opt,name=nodeCount"`
	// The number percentage (0 through 100) of rows to be used during training
	// +kubebuilder:default:=100
	// +kubebuilder:validation:Optional
	SamplePct *int32 `json:"samplePct,omitempty" protobuf:"varint,17,opt,name=samplePct"`
	// Checkpoint specifies the location to store model checkpoints
	// +kubebuilder:validation:Optional
	Checkpoint CheckpointSpec `json:"checkpoint,omitempty" protobuf:"bytes,18,opt,name=checkpoint"`
	// The maximum log level for logs produced by Jobs associated with the Model
	// +kubebuilder:default:=info
	// +kubebuilder:validation:Optional
	LogLevel *catalog.LogLevel `json:"logLevel,omitempty" protobuf:"bytes,19,opt,name=logLevel"`
	// The maximum time, in seconds, that Jobs associated with the Model can run for before being forcefully cancelled.
	// +kubebuilder:default:=600
	// +kubebuilder:validation:Optional
	TimeoutInSecs *int32 `json:"timeoutInSecs,omitempty" protobuf:"varint,20,opt,name=timeoutInSecs"`
}

TrainingSpec specifies the configuration of a model training workload

func (*TrainingSpec) DeepCopy 

func (in *TrainingSpec) DeepCopy() *TrainingSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new TrainingSpec.

func (*TrainingSpec) DeepCopyInto 

func (in *TrainingSpec) DeepCopyInto(out *TrainingSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*TrainingSpec) Descriptor 

func (*TrainingSpec) Descriptor() ([]byte, []int)

func (*TrainingSpec) Marshal 

func (m *TrainingSpec) Marshal() (dAtA []byte, err error)

func (*TrainingSpec) MarshalTo 

func (m *TrainingSpec) MarshalTo(dAtA []byte) (int, error)

func (*TrainingSpec) MarshalToSizedBuffer 

func (m *TrainingSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*TrainingSpec) ProtoMessage 

func (*TrainingSpec) ProtoMessage()

func (*TrainingSpec) Reset 

func (m *TrainingSpec) Reset()

func (*TrainingSpec) Size 

func (m *TrainingSpec) Size() (n int)

func (*TrainingSpec) String 

func (this *TrainingSpec) String() string

func (*TrainingSpec) Unmarshal 

func (m *TrainingSpec) Unmarshal(dAtA []byte) error

func (*TrainingSpec) XXX_DiscardUnknown 

func (m *TrainingSpec) XXX_DiscardUnknown()

func (*TrainingSpec) XXX_Marshal 

func (m *TrainingSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*TrainingSpec) XXX_Merge 

func (m *TrainingSpec) XXX_Merge(src proto.Message)

func (*TrainingSpec) XXX_Size 

func (m *TrainingSpec) XXX_Size() int

func (*TrainingSpec) XXX_Unmarshal 

func (m *TrainingSpec) XXX_Unmarshal(b []byte) error

type TrainingStageSpec 

type TrainingStageSpec struct {
	// Enabled indicates that the stage is enabled
	// +kubebuilder:default:=true
	// +kubebuilder:validation:Optional
	Enabled *bool `json:"enabled,omitempty" protobuf:"varint,1,opt,name=enabled"`
	// NotebookName specify the notebook to run before training.
	// +kubebuilder:default =""
	// +kubebuilder:validation:Optional
	NotebookName *string `json:"notebookName,omitempty" protobuf:"bytes,2,opt,name=notebookName"`
	// LabName is the name of the lab used for training. If empty, the system will use the default lab assigned to the data product
	// +kubebuilder:default =""
	// +kubebuilder:validation:Optional
	LabName *string `json:"labName,omitempty" protobuf:"bytes,3,opt,name=labName"`
	// StudyName is the name of a study template. The actual study will clone the study template and will
	// use the dataset created in the data stage.
	// +kubebuilder:default =""
	// +kubebuilder:validation:Required
	// +required
	StudyTemplateName *string `json:"studyTemplateName,omitempty" protobuf:"bytes,4,opt,name=studyTemplateName"`
}

TrainingStageSpec is the desired state of the training step of the pipeline

func (*TrainingStageSpec) DeepCopy 

func (in *TrainingStageSpec) DeepCopy() *TrainingStageSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new TrainingStageSpec.

func (*TrainingStageSpec) DeepCopyInto 

func (in *TrainingStageSpec) DeepCopyInto(out *TrainingStageSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*TrainingStageSpec) Descriptor 

func (*TrainingStageSpec) Descriptor() ([]byte, []int)

func (*TrainingStageSpec) Marshal 

func (m *TrainingStageSpec) Marshal() (dAtA []byte, err error)

func (*TrainingStageSpec) MarshalTo 

func (m *TrainingStageSpec) MarshalTo(dAtA []byte) (int, error)

func (*TrainingStageSpec) MarshalToSizedBuffer 

func (m *TrainingStageSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*TrainingStageSpec) ProtoMessage 

func (*TrainingStageSpec) ProtoMessage()

func (*TrainingStageSpec) Reset 

func (m *TrainingStageSpec) Reset()

func (*TrainingStageSpec) Size 

func (m *TrainingStageSpec) Size() (n int)

func (*TrainingStageSpec) String 

func (this *TrainingStageSpec) String() string

func (*TrainingStageSpec) Unmarshal 

func (m *TrainingStageSpec) Unmarshal(dAtA []byte) error

func (*TrainingStageSpec) XXX_DiscardUnknown 

func (m *TrainingStageSpec) XXX_DiscardUnknown()

func (*TrainingStageSpec) XXX_Marshal 

func (m *TrainingStageSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*TrainingStageSpec) XXX_Merge 

func (m *TrainingStageSpec) XXX_Merge(src proto.Message)

func (*TrainingStageSpec) XXX_Size 

func (m *TrainingStageSpec) XXX_Size() int

func (*TrainingStageSpec) XXX_Unmarshal 

func (m *TrainingStageSpec) XXX_Unmarshal(b []byte) error

type UATStageSpec 

type UATStageSpec struct {
	// Enabled indicates that the stage is enabled
	// +kubebuilder:default:=false
	// +kubebuilder:validation:Optional
	Enabled *bool `json:"enabled,omitempty" protobuf:"varint,1,opt,name=enabled"`
	// The serving site (name space) used for running the uat tests. If the serving site is empty, the system
	// will skip the uat stage
	// +kubebuilder:default =""
	// +kubebuilder:validation:Optional
	ServingSiteName *string `json:"servingSiteName,omitempty" protobuf:"bytes,2,opt,name=servingSiteName"`
	// Validations defines the machine learning test cases to run against the new trained model.
	// +kubebuilder:validation:Optional
	UnitTests ModelTestSuite `json:"unitTests,omitempty" protobuf:"bytes,3,opt,name=unitTests"`
	// Resource define the hardware resources req.
	// +kubebuilder:validation:Optional
	Resources catalog.ResourceSpec `json:"resources,omitempty" protobuf:"bytes,4,opt,name=resources"`
}

UATStageSpec is the specification of the user acceptance test.

func (*UATStageSpec) DeepCopy 

func (in *UATStageSpec) DeepCopy() *UATStageSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new UATStageSpec.

func (*UATStageSpec) DeepCopyInto 

func (in *UATStageSpec) DeepCopyInto(out *UATStageSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*UATStageSpec) Descriptor 

func (*UATStageSpec) Descriptor() ([]byte, []int)

func (*UATStageSpec) Marshal 

func (m *UATStageSpec) Marshal() (dAtA []byte, err error)

func (*UATStageSpec) MarshalTo 

func (m *UATStageSpec) MarshalTo(dAtA []byte) (int, error)

func (*UATStageSpec) MarshalToSizedBuffer 

func (m *UATStageSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*UATStageSpec) ProtoMessage 

func (*UATStageSpec) ProtoMessage()

func (*UATStageSpec) Reset 

func (m *UATStageSpec) Reset()

func (*UATStageSpec) Size 

func (m *UATStageSpec) Size() (n int)

func (*UATStageSpec) String 

func (this *UATStageSpec) String() string

func (*UATStageSpec) Unmarshal 

func (m *UATStageSpec) Unmarshal(dAtA []byte) error

func (*UATStageSpec) XXX_DiscardUnknown 

func (m *UATStageSpec) XXX_DiscardUnknown()

func (*UATStageSpec) XXX_Marshal 

func (m *UATStageSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*UATStageSpec) XXX_Merge 

func (m *UATStageSpec) XXX_Merge(src proto.Message)

func (*UATStageSpec) XXX_Size 

func (m *UATStageSpec) XXX_Size() int

func (*UATStageSpec) XXX_Unmarshal 

func (m *UATStageSpec) XXX_Unmarshal(b []byte) error

type UnivariateForecastStatus added in v0.5.140 

type UnivariateForecastStatus struct {
	// URI for the grid search result
	// +kubebuilder:validation:Optional
	GridSearchResultURI string `json:"gridSearchResultURI,omitempty" protobuf:"bytes,1,opt,name=gridSearchResultURI"`
	// The best estimator
	// +kubebuilder:validation:Optional
	BestEstimator ClassicalEstimatorSpec `json:"baseEstimator,omitempty" protobuf:"bytes,2,opt,name=baseEstimator"`
	// URI of the model
	// +kubebuilder:validation:Optional
	ModelURI string `json:"modelURI,omitempty" protobuf:"bytes,3,opt,name=modelURI"`
	// URI of the backtest result
	// +kubebuilder:validation:Optional
	CVResultURI string `json:"cvResultURI,omitempty" protobuf:"bytes,4,opt,name=cvResultURI"`
	// URI to the actual forecast
	// +kubebuilder:validation:Optional
	ForecastURI string `json:"forecastURI,omitempty" protobuf:"bytes,5,opt,name=forecastURI"`
}

func (*UnivariateForecastStatus) DeepCopy added in v0.5.140 

func (in *UnivariateForecastStatus) DeepCopy() *UnivariateForecastStatus

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new UnivariateForecastStatus.

func (*UnivariateForecastStatus) DeepCopyInto added in v0.5.140 

func (in *UnivariateForecastStatus) DeepCopyInto(out *UnivariateForecastStatus)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*UnivariateForecastStatus) Descriptor added in v0.5.140 

func (*UnivariateForecastStatus) Descriptor() ([]byte, []int)

func (*UnivariateForecastStatus) Marshal added in v0.5.140 

func (m *UnivariateForecastStatus) Marshal() (dAtA []byte, err error)

func (*UnivariateForecastStatus) MarshalTo added in v0.5.140 

func (m *UnivariateForecastStatus) MarshalTo(dAtA []byte) (int, error)

func (*UnivariateForecastStatus) MarshalToSizedBuffer added in v0.5.140 

func (m *UnivariateForecastStatus) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*UnivariateForecastStatus) ProtoMessage added in v0.5.140 

func (*UnivariateForecastStatus) ProtoMessage()

func (*UnivariateForecastStatus) Reset added in v0.5.140 

func (m *UnivariateForecastStatus) Reset()

func (*UnivariateForecastStatus) Size added in v0.5.140 

func (m *UnivariateForecastStatus) Size() (n int)

func (*UnivariateForecastStatus) String added in v0.5.140 

func (this *UnivariateForecastStatus) String() string

func (*UnivariateForecastStatus) Unmarshal added in v0.5.140 

func (m *UnivariateForecastStatus) Unmarshal(dAtA []byte) error

func (*UnivariateForecastStatus) XXX_DiscardUnknown added in v0.5.140 

func (m *UnivariateForecastStatus) XXX_DiscardUnknown()

func (*UnivariateForecastStatus) XXX_Marshal added in v0.5.140 

func (m *UnivariateForecastStatus) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*UnivariateForecastStatus) XXX_Merge added in v0.5.140 

func (m *UnivariateForecastStatus) XXX_Merge(src proto.Message)

func (*UnivariateForecastStatus) XXX_Size added in v0.5.140 

func (m *UnivariateForecastStatus) XXX_Size() int

func (*UnivariateForecastStatus) XXX_Unmarshal added in v0.5.140 

func (m *UnivariateForecastStatus) XXX_Unmarshal(b []byte) error

type VideoPipelineSpec 

type VideoPipelineSpec struct {
	// The date time imputer.
	// +kubebuilder:default:="auto"
	// +kubebuilder:validation:Optional
	Featurizer *catalog.VideoFeaturizer `json:"featurizer,omitempty" protobuf:"bytes,1,opt,name=featurizer"`
}

VideoPipelineSpec represents a single pipeline for preprocessing video data

func (*VideoPipelineSpec) DeepCopy 

func (in *VideoPipelineSpec) DeepCopy() *VideoPipelineSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new VideoPipelineSpec.

func (*VideoPipelineSpec) DeepCopyInto 

func (in *VideoPipelineSpec) DeepCopyInto(out *VideoPipelineSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*VideoPipelineSpec) Descriptor 

func (*VideoPipelineSpec) Descriptor() ([]byte, []int)

func (*VideoPipelineSpec) Marshal 

func (m *VideoPipelineSpec) Marshal() (dAtA []byte, err error)

func (*VideoPipelineSpec) MarshalTo 

func (m *VideoPipelineSpec) MarshalTo(dAtA []byte) (int, error)

func (*VideoPipelineSpec) MarshalToSizedBuffer 

func (m *VideoPipelineSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*VideoPipelineSpec) ProtoMessage 

func (*VideoPipelineSpec) ProtoMessage()

func (*VideoPipelineSpec) Reset 

func (m *VideoPipelineSpec) Reset()

func (*VideoPipelineSpec) Size 

func (m *VideoPipelineSpec) Size() (n int)

func (*VideoPipelineSpec) String 

func (this *VideoPipelineSpec) String() string

func (*VideoPipelineSpec) Unmarshal 

func (m *VideoPipelineSpec) Unmarshal(dAtA []byte) error

func (*VideoPipelineSpec) XXX_DiscardUnknown 

func (m *VideoPipelineSpec) XXX_DiscardUnknown()

func (*VideoPipelineSpec) XXX_Marshal 

func (m *VideoPipelineSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*VideoPipelineSpec) XXX_Merge 

func (m *VideoPipelineSpec) XXX_Merge(src proto.Message)

func (*VideoPipelineSpec) XXX_Size 

func (m *VideoPipelineSpec) XXX_Size() int

func (*VideoPipelineSpec) XXX_Unmarshal 

func (m *VideoPipelineSpec) XXX_Unmarshal(b []byte) error

type WindowSpec added in v0.5.120 

type WindowSpec struct {
	// The period interval
	// +kubebuilder:validation:Optional
	Interval *catalog.Freq `json:"interval,omitempty" protobuf:"bytes,1,opt,name=interval"`
	// The number of intervals to start. If the start is more than 0, there is a gap.
	// +kubebuilder:default:=0
	// +kubebuilder:validation:Optional
	Start *int32 `json:"start,omitempty" protobuf:"varint,2,opt,name=start"`
	// The window length
	// +kubebuilder:validation:Optional
	Length *int32 `json:"length,omitempty" protobuf:"varint,3,opt,name=length"`
}

Define a window on the time series.

func (*WindowSpec) DeepCopy added in v0.5.120 

func (in *WindowSpec) DeepCopy() *WindowSpec

DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new WindowSpec.

func (*WindowSpec) DeepCopyInto added in v0.5.120 

func (in *WindowSpec) DeepCopyInto(out *WindowSpec)

DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.

func (*WindowSpec) Descriptor added in v0.5.120 

func (*WindowSpec) Descriptor() ([]byte, []int)

func (*WindowSpec) Marshal added in v0.5.120 

func (m *WindowSpec) Marshal() (dAtA []byte, err error)

func (*WindowSpec) MarshalTo added in v0.5.120 

func (m *WindowSpec) MarshalTo(dAtA []byte) (int, error)

func (*WindowSpec) MarshalToSizedBuffer added in v0.5.120 

func (m *WindowSpec) MarshalToSizedBuffer(dAtA []byte) (int, error)

func (*WindowSpec) ProtoMessage added in v0.5.120 

func (*WindowSpec) ProtoMessage()

func (*WindowSpec) Reset added in v0.5.120 

func (m *WindowSpec) Reset()

func (*WindowSpec) Size added in v0.5.120 

func (m *WindowSpec) Size() (n int)

func (*WindowSpec) String added in v0.5.120 

func (this *WindowSpec) String() string

func (*WindowSpec) Unmarshal added in v0.5.120 

func (m *WindowSpec) Unmarshal(dAtA []byte) error

func (*WindowSpec) XXX_DiscardUnknown added in v0.5.120 

func (m *WindowSpec) XXX_DiscardUnknown()

func (*WindowSpec) XXX_Marshal added in v0.5.120 

func (m *WindowSpec) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)

func (*WindowSpec) XXX_Merge added in v0.5.120 

func (m *WindowSpec) XXX_Merge(src proto.Message)

func (*WindowSpec) XXX_Size added in v0.5.120 

func (m *WindowSpec) XXX_Size() int

func (*WindowSpec) XXX_Unmarshal added in v0.5.120 

func (m *WindowSpec) XXX_Unmarshal(b []byte) error

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