plugins

package
v0.20.1 Latest Latest
Warning

This package is not in the latest version of its module.

 Go to latest Published: Aug 31, 2021 License: Apache-2.0 Imports: 14 Imported by: 1

Documentation

Index

Constants

This section is empty.

Variables

View Source 
var AlgorithmName_Value_name = map[int32]string{
	0: "CUSTOM",
	1: "XGBOOST",
}
View Source 
var AlgorithmName_Value_value = map[string]int32{
	"CUSTOM":  0,
	"XGBOOST": 1,
}
View Source 
var DistributedProtocol_Value_name = map[int32]string{
	0: "UNSPECIFIED",
	1: "MPI",
}
View Source 
var DistributedProtocol_Value_value = map[string]int32{
	"UNSPECIFIED": 0,
	"MPI":         1,
}
View Source 
var HyperparameterScalingType_Value_name = map[int32]string{
	0: "AUTO",
	1: "LINEAR",
	2: "LOGARITHMIC",
	3: "REVERSELOGARITHMIC",
}
View Source 
var HyperparameterScalingType_Value_value = map[string]int32{
	"AUTO":               0,
	"LINEAR":             1,
	"LOGARITHMIC":        2,
	"REVERSELOGARITHMIC": 3,
}
View Source 
var HyperparameterTuningObjectiveType_Value_name = map[int32]string{
	0: "MINIMIZE",
	1: "MAXIMIZE",
}
View Source 
var HyperparameterTuningObjectiveType_Value_value = map[string]int32{
	"MINIMIZE": 0,
	"MAXIMIZE": 1,
}
View Source 
var HyperparameterTuningStrategy_Value_name = map[int32]string{
	0: "BAYESIAN",
	1: "RANDOM",
}
View Source 
var HyperparameterTuningStrategy_Value_value = map[string]int32{
	"BAYESIAN": 0,
	"RANDOM":   1,
}
View Source 
var InputContentType_Value_name = map[int32]string{
	0: "TEXT_CSV",
}
View Source 
var InputContentType_Value_value = map[string]int32{
	"TEXT_CSV": 0,
}
View Source 
var InputMode_Value_name = map[int32]string{
	0: "FILE",
	1: "PIPE",
}
View Source 
var InputMode_Value_value = map[string]int32{
	"FILE": 0,
	"PIPE": 1,
}
View Source 
var TrainingJobEarlyStoppingType_Value_name = map[int32]string{
	0: "OFF",
	1: "AUTO",
}
View Source 
var TrainingJobEarlyStoppingType_Value_value = map[string]int32{
	"OFF":  0,
	"AUTO": 1,
}

Functions

This section is empty.

Types

type AlgorithmName 

type AlgorithmName struct {
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

The algorithm name is used for deciding which pre-built image to point to. This is only required for use cases where SageMaker's built-in algorithm mode is used. While we currently only support a subset of the algorithms, more will be added to the list. See: https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html

func (*AlgorithmName) Descriptor 

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

func (*AlgorithmName) ProtoMessage 

func (*AlgorithmName) ProtoMessage()

func (*AlgorithmName) Reset 

func (m *AlgorithmName) Reset()

func (*AlgorithmName) String 

func (m *AlgorithmName) String() string

func (*AlgorithmName) Validate 

func (m *AlgorithmName) Validate() error

Validate checks the field values on AlgorithmName with the rules defined in the proto definition for this message. If any rules are violated, an error is returned.

func (*AlgorithmName) XXX_DiscardUnknown 

func (m *AlgorithmName) XXX_DiscardUnknown()

func (*AlgorithmName) XXX_Marshal 

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

func (*AlgorithmName) XXX_Merge 

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

func (*AlgorithmName) XXX_Size 

func (m *AlgorithmName) XXX_Size() int

func (*AlgorithmName) XXX_Unmarshal 

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

type AlgorithmNameValidationError 

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

AlgorithmNameValidationError is the validation error returned by AlgorithmName.Validate if the designated constraints aren't met.

func (AlgorithmNameValidationError) Cause 

func (e AlgorithmNameValidationError) Cause() error

Cause function returns cause value.

func (AlgorithmNameValidationError) Error 

func (e AlgorithmNameValidationError) Error() string

Error satisfies the builtin error interface

func (AlgorithmNameValidationError) ErrorName 

func (e AlgorithmNameValidationError) ErrorName() string

ErrorName returns error name.

func (AlgorithmNameValidationError) Field 

func (e AlgorithmNameValidationError) Field() string

Field function returns field value.

func (AlgorithmNameValidationError) Key 

func (e AlgorithmNameValidationError) Key() bool

Key function returns key value.

func (AlgorithmNameValidationError) Reason 

func (e AlgorithmNameValidationError) Reason() string

Reason function returns reason value.

type AlgorithmName_Value 

type AlgorithmName_Value int32
const (
	AlgorithmName_CUSTOM  AlgorithmName_Value = 0
	AlgorithmName_XGBOOST AlgorithmName_Value = 1
)

func (AlgorithmName_Value) EnumDescriptor 

func (AlgorithmName_Value) EnumDescriptor() ([]byte, []int)

func (AlgorithmName_Value) String 

func (x AlgorithmName_Value) String() string

type AlgorithmSpecification 

type AlgorithmSpecification struct {
	// The input mode can be either PIPE or FILE
	InputMode InputMode_Value `` /* 137-byte string literal not displayed */
	// The algorithm name is used for deciding which pre-built image to point to
	AlgorithmName AlgorithmName_Value `` /* 153-byte string literal not displayed */
	// The algorithm version field is used for deciding which pre-built image to point to
	// This is only needed for use cases where SageMaker's built-in algorithm mode is chosen
	AlgorithmVersion string `protobuf:"bytes,3,opt,name=algorithm_version,json=algorithmVersion,proto3" json:"algorithm_version,omitempty"`
	// A list of metric definitions for SageMaker to evaluate/track on the progress of the training job
	// See this: https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AlgorithmSpecification.html
	// and this: https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-metrics.html
	MetricDefinitions []*MetricDefinition `protobuf:"bytes,4,rep,name=metric_definitions,json=metricDefinitions,proto3" json:"metric_definitions,omitempty"`
	// The content type of the input
	// See https://docs.aws.amazon.com/sagemaker/latest/dg/cdf-training.html
	// https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-algo-docker-registry-paths.html
	InputContentType     InputContentType_Value `` /* 167-byte string literal not displayed */
	XXX_NoUnkeyedLiteral struct{}               `json:"-"`
	XXX_unrecognized     []byte                 `json:"-"`
	XXX_sizecache        int32                  `json:"-"`
}

Specifies the training algorithm to be used in the training job This object is mostly a pass-through, with a couple of exceptions include: (1) in Flyte, users don't need to specify TrainingImage; either use the built-in algorithm mode by using Flytekit's Simple Training Job and specifying an algorithm name and an algorithm version or (2) when users want to supply custom algorithms they should set algorithm_name field to CUSTOM. In this case, the value of the algorithm_version field has no effect For pass-through use cases: refer to this AWS official document for more details https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AlgorithmSpecification.html

func (*AlgorithmSpecification) Descriptor 

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

func (*AlgorithmSpecification) GetAlgorithmName 

func (m *AlgorithmSpecification) GetAlgorithmName() AlgorithmName_Value

func (*AlgorithmSpecification) GetAlgorithmVersion 

func (m *AlgorithmSpecification) GetAlgorithmVersion() string

func (*AlgorithmSpecification) GetInputContentType 

func (m *AlgorithmSpecification) GetInputContentType() InputContentType_Value

func (*AlgorithmSpecification) GetInputMode 

func (m *AlgorithmSpecification) GetInputMode() InputMode_Value

func (*AlgorithmSpecification) GetMetricDefinitions 

func (m *AlgorithmSpecification) GetMetricDefinitions() []*MetricDefinition

func (*AlgorithmSpecification) ProtoMessage 

func (*AlgorithmSpecification) ProtoMessage()

func (*AlgorithmSpecification) Reset 

func (m *AlgorithmSpecification) Reset()

func (*AlgorithmSpecification) String 

func (m *AlgorithmSpecification) String() string

func (*AlgorithmSpecification) Validate 

func (m *AlgorithmSpecification) Validate() error

Validate checks the field values on AlgorithmSpecification with the rules defined in the proto definition for this message. If any rules are violated, an error is returned.

func (*AlgorithmSpecification) XXX_DiscardUnknown 

func (m *AlgorithmSpecification) XXX_DiscardUnknown()

func (*AlgorithmSpecification) XXX_Marshal 

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

func (*AlgorithmSpecification) XXX_Merge 

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

func (*AlgorithmSpecification) XXX_Size 

func (m *AlgorithmSpecification) XXX_Size() int

func (*AlgorithmSpecification) XXX_Unmarshal 

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

type AlgorithmSpecificationValidationError 

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

AlgorithmSpecificationValidationError is the validation error returned by AlgorithmSpecification.Validate if the designated constraints aren't met.

func (AlgorithmSpecificationValidationError) Cause 

func (e AlgorithmSpecificationValidationError) Cause() error

Cause function returns cause value.

func (AlgorithmSpecificationValidationError) Error 

func (e AlgorithmSpecificationValidationError) Error() string

Error satisfies the builtin error interface

func (AlgorithmSpecificationValidationError) ErrorName 

func (e AlgorithmSpecificationValidationError) ErrorName() string

ErrorName returns error name.

func (AlgorithmSpecificationValidationError) Field 

func (e AlgorithmSpecificationValidationError) Field() string

Field function returns field value.

func (AlgorithmSpecificationValidationError) Key 

func (e AlgorithmSpecificationValidationError) Key() bool

Key function returns key value.

func (AlgorithmSpecificationValidationError) Reason 

func (e AlgorithmSpecificationValidationError) Reason() string

Reason function returns reason value.

type CategoricalParameterRange 

type CategoricalParameterRange struct {
	Values               []string `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

ContinuousParameterRange refers to a continuous range of hyperparameter values, allowing users to specify the search space of a floating-point hyperparameter https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-ranges.html

func (*CategoricalParameterRange) Descriptor 

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

func (*CategoricalParameterRange) GetValues 

func (m *CategoricalParameterRange) GetValues() []string

func (*CategoricalParameterRange) ProtoMessage 

func (*CategoricalParameterRange) ProtoMessage()

func (*CategoricalParameterRange) Reset 

func (m *CategoricalParameterRange) Reset()

func (*CategoricalParameterRange) String 

func (m *CategoricalParameterRange) String() string

func (*CategoricalParameterRange) Validate 

func (m *CategoricalParameterRange) Validate() error

Validate checks the field values on CategoricalParameterRange with the rules defined in the proto definition for this message. If any rules are violated, an error is returned.

func (*CategoricalParameterRange) XXX_DiscardUnknown 

func (m *CategoricalParameterRange) XXX_DiscardUnknown()

func (*CategoricalParameterRange) XXX_Marshal 

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

func (*CategoricalParameterRange) XXX_Merge 

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

func (*CategoricalParameterRange) XXX_Size 

func (m *CategoricalParameterRange) XXX_Size() int

func (*CategoricalParameterRange) XXX_Unmarshal 

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

type CategoricalParameterRangeValidationError 

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

CategoricalParameterRangeValidationError is the validation error returned by CategoricalParameterRange.Validate if the designated constraints aren't met.

func (CategoricalParameterRangeValidationError) Cause 

func (e CategoricalParameterRangeValidationError) Cause() error

Cause function returns cause value.

func (CategoricalParameterRangeValidationError) Error 

func (e CategoricalParameterRangeValidationError) Error() string

Error satisfies the builtin error interface

func (CategoricalParameterRangeValidationError) ErrorName 

func (e CategoricalParameterRangeValidationError) ErrorName() string

ErrorName returns error name.

func (CategoricalParameterRangeValidationError) Field 

func (e CategoricalParameterRangeValidationError) Field() string

Field function returns field value.

func (CategoricalParameterRangeValidationError) Key 

func (e CategoricalParameterRangeValidationError) Key() bool

Key function returns key value.

func (CategoricalParameterRangeValidationError) Reason 

func (e CategoricalParameterRangeValidationError) Reason() string

Reason function returns reason value.

type ContinuousParameterRange 

type ContinuousParameterRange struct {
	MaxValue             float64                         `protobuf:"fixed64,1,opt,name=max_value,json=maxValue,proto3" json:"max_value,omitempty"`
	MinValue             float64                         `protobuf:"fixed64,2,opt,name=min_value,json=minValue,proto3" json:"min_value,omitempty"`
	ScalingType          HyperparameterScalingType_Value `` /* 159-byte string literal not displayed */
	XXX_NoUnkeyedLiteral struct{}                        `json:"-"`
	XXX_unrecognized     []byte                          `json:"-"`
	XXX_sizecache        int32                           `json:"-"`
}

ContinuousParameterRange refers to a continuous range of hyperparameter values, allowing users to specify the search space of a floating-point hyperparameter https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-ranges.html

func (*ContinuousParameterRange) Descriptor 

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

func (*ContinuousParameterRange) GetMaxValue 

func (m *ContinuousParameterRange) GetMaxValue() float64

func (*ContinuousParameterRange) GetMinValue 

func (m *ContinuousParameterRange) GetMinValue() float64

func (*ContinuousParameterRange) GetScalingType 

func (m *ContinuousParameterRange) GetScalingType() HyperparameterScalingType_Value

func (*ContinuousParameterRange) ProtoMessage 

func (*ContinuousParameterRange) ProtoMessage()

func (*ContinuousParameterRange) Reset 

func (m *ContinuousParameterRange) Reset()

func (*ContinuousParameterRange) String 

func (m *ContinuousParameterRange) String() string

func (*ContinuousParameterRange) Validate 

func (m *ContinuousParameterRange) Validate() error

Validate checks the field values on ContinuousParameterRange with the rules defined in the proto definition for this message. If any rules are violated, an error is returned.

func (*ContinuousParameterRange) XXX_DiscardUnknown 

func (m *ContinuousParameterRange) XXX_DiscardUnknown()

func (*ContinuousParameterRange) XXX_Marshal 

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

func (*ContinuousParameterRange) XXX_Merge 

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

func (*ContinuousParameterRange) XXX_Size 

func (m *ContinuousParameterRange) XXX_Size() int

func (*ContinuousParameterRange) XXX_Unmarshal 

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

type ContinuousParameterRangeValidationError 

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

ContinuousParameterRangeValidationError is the validation error returned by ContinuousParameterRange.Validate if the designated constraints aren't met.

func (ContinuousParameterRangeValidationError) Cause 

func (e ContinuousParameterRangeValidationError) Cause() error

Cause function returns cause value.

func (ContinuousParameterRangeValidationError) Error 

func (e ContinuousParameterRangeValidationError) Error() string

Error satisfies the builtin error interface

func (ContinuousParameterRangeValidationError) ErrorName 

func (e ContinuousParameterRangeValidationError) ErrorName() string

ErrorName returns error name.

func (ContinuousParameterRangeValidationError) Field 

func (e ContinuousParameterRangeValidationError) Field() string

Field function returns field value.

func (ContinuousParameterRangeValidationError) Key 

func (e ContinuousParameterRangeValidationError) Key() bool

Key function returns key value.

func (ContinuousParameterRangeValidationError) Reason 

func (e ContinuousParameterRangeValidationError) Reason() string

Reason function returns reason value.

type DistributedProtocol 

type DistributedProtocol struct {
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

When enabling distributed training on a training job, the user should use this message to tell Flyte and SageMaker what kind of distributed protocol he/she wants to use to distribute the work.

func (*DistributedProtocol) Descriptor 

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

func (*DistributedProtocol) ProtoMessage 

func (*DistributedProtocol) ProtoMessage()

func (*DistributedProtocol) Reset 

func (m *DistributedProtocol) Reset()

func (*DistributedProtocol) String 

func (m *DistributedProtocol) String() string

func (*DistributedProtocol) Validate 

func (m *DistributedProtocol) Validate() error

Validate checks the field values on DistributedProtocol with the rules defined in the proto definition for this message. If any rules are violated, an error is returned.

func (*DistributedProtocol) XXX_DiscardUnknown 

func (m *DistributedProtocol) XXX_DiscardUnknown()

func (*DistributedProtocol) XXX_Marshal 

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

func (*DistributedProtocol) XXX_Merge 

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

func (*DistributedProtocol) XXX_Size 

func (m *DistributedProtocol) XXX_Size() int

func (*DistributedProtocol) XXX_Unmarshal 

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

type DistributedProtocolValidationError 

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

DistributedProtocolValidationError is the validation error returned by DistributedProtocol.Validate if the designated constraints aren't met.

func (DistributedProtocolValidationError) Cause 

func (e DistributedProtocolValidationError) Cause() error

Cause function returns cause value.

func (DistributedProtocolValidationError) Error 

func (e DistributedProtocolValidationError) Error() string

Error satisfies the builtin error interface

func (DistributedProtocolValidationError) ErrorName 

func (e DistributedProtocolValidationError) ErrorName() string

ErrorName returns error name.

func (DistributedProtocolValidationError) Field 

func (e DistributedProtocolValidationError) Field() string

Field function returns field value.

func (DistributedProtocolValidationError) Key 

func (e DistributedProtocolValidationError) Key() bool

Key function returns key value.

func (DistributedProtocolValidationError) Reason 

func (e DistributedProtocolValidationError) Reason() string

Reason function returns reason value.

type DistributedProtocol_Value 

type DistributedProtocol_Value int32
const (
	// Use this value if the user wishes to use framework-native distributed training interfaces.
	// If this value is used, Flyte won't configure SageMaker to initialize unnecessary components such as
	// OpenMPI or Parameter Server.
	DistributedProtocol_UNSPECIFIED DistributedProtocol_Value = 0
	// Use this value if the user wishes to use MPI as the underlying protocol for her distributed training job
	// MPI is a framework-agnostic distributed protocol. It has multiple implementations. Currently, we have only
	// tested the OpenMPI implementation, which is the recommended implementation for Horovod.
	DistributedProtocol_MPI DistributedProtocol_Value = 1
)

func (DistributedProtocol_Value) EnumDescriptor 

func (DistributedProtocol_Value) EnumDescriptor() ([]byte, []int)

func (DistributedProtocol_Value) String 

func (x DistributedProtocol_Value) String() string

type HyperparameterScalingType 

type HyperparameterScalingType struct {
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

HyperparameterScalingType defines the way to increase or decrease the value of the hyperparameter For details, refer to: https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-ranges.html See examples of these scaling type, refer to: https://aws.amazon.com/blogs/machine-learning/amazon-sagemaker-automatic-model-tuning-now-supports-random-search-and-hyperparameter-scaling/

func (*HyperparameterScalingType) Descriptor 

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

func (*HyperparameterScalingType) ProtoMessage 

func (*HyperparameterScalingType) ProtoMessage()

func (*HyperparameterScalingType) Reset 

func (m *HyperparameterScalingType) Reset()

func (*HyperparameterScalingType) String 

func (m *HyperparameterScalingType) String() string

func (*HyperparameterScalingType) Validate 

func (m *HyperparameterScalingType) Validate() error

Validate checks the field values on HyperparameterScalingType with the rules defined in the proto definition for this message. If any rules are violated, an error is returned.

func (*HyperparameterScalingType) XXX_DiscardUnknown 

func (m *HyperparameterScalingType) XXX_DiscardUnknown()

func (*HyperparameterScalingType) XXX_Marshal 

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

func (*HyperparameterScalingType) XXX_Merge 

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

func (*HyperparameterScalingType) XXX_Size 

func (m *HyperparameterScalingType) XXX_Size() int

func (*HyperparameterScalingType) XXX_Unmarshal 

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

type HyperparameterScalingTypeValidationError 

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

HyperparameterScalingTypeValidationError is the validation error returned by HyperparameterScalingType.Validate if the designated constraints aren't met.

func (HyperparameterScalingTypeValidationError) Cause 

func (e HyperparameterScalingTypeValidationError) Cause() error

Cause function returns cause value.

func (HyperparameterScalingTypeValidationError) Error 

func (e HyperparameterScalingTypeValidationError) Error() string

Error satisfies the builtin error interface

func (HyperparameterScalingTypeValidationError) ErrorName 

func (e HyperparameterScalingTypeValidationError) ErrorName() string

ErrorName returns error name.

func (HyperparameterScalingTypeValidationError) Field 

func (e HyperparameterScalingTypeValidationError) Field() string

Field function returns field value.

func (HyperparameterScalingTypeValidationError) Key 

func (e HyperparameterScalingTypeValidationError) Key() bool

Key function returns key value.

func (HyperparameterScalingTypeValidationError) Reason 

func (e HyperparameterScalingTypeValidationError) Reason() string

Reason function returns reason value.

type HyperparameterScalingType_Value 

type HyperparameterScalingType_Value int32
const (
	HyperparameterScalingType_AUTO               HyperparameterScalingType_Value = 0
	HyperparameterScalingType_LINEAR             HyperparameterScalingType_Value = 1
	HyperparameterScalingType_LOGARITHMIC        HyperparameterScalingType_Value = 2
	HyperparameterScalingType_REVERSELOGARITHMIC HyperparameterScalingType_Value = 3
)

func (HyperparameterScalingType_Value) EnumDescriptor 

func (HyperparameterScalingType_Value) EnumDescriptor() ([]byte, []int)

func (HyperparameterScalingType_Value) String 

func (x HyperparameterScalingType_Value) String() string

type HyperparameterTuningJob 

type HyperparameterTuningJob struct {
	// The underlying training job that the hyperparameter tuning job will launch during the process
	TrainingJob *TrainingJob `protobuf:"bytes,1,opt,name=training_job,json=trainingJob,proto3" json:"training_job,omitempty"`
	// The maximum number of training jobs that an hpo job can launch. For resource limit purpose.
	// https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ResourceLimits.html
	MaxNumberOfTrainingJobs int64 `` /* 137-byte string literal not displayed */
	// The maximum number of concurrent training job that an hpo job can launch
	// https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ResourceLimits.html
	MaxParallelTrainingJobs int64    `` /* 135-byte string literal not displayed */
	XXX_NoUnkeyedLiteral    struct{} `json:"-"`
	XXX_unrecognized        []byte   `json:"-"`
	XXX_sizecache           int32    `json:"-"`
}

A pass-through for SageMaker's hyperparameter tuning job

func (*HyperparameterTuningJob) Descriptor 

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

func (*HyperparameterTuningJob) GetMaxNumberOfTrainingJobs 

func (m *HyperparameterTuningJob) GetMaxNumberOfTrainingJobs() int64

func (*HyperparameterTuningJob) GetMaxParallelTrainingJobs 

func (m *HyperparameterTuningJob) GetMaxParallelTrainingJobs() int64

func (*HyperparameterTuningJob) GetTrainingJob 

func (m *HyperparameterTuningJob) GetTrainingJob() *TrainingJob

func (*HyperparameterTuningJob) ProtoMessage 

func (*HyperparameterTuningJob) ProtoMessage()

func (*HyperparameterTuningJob) Reset 

func (m *HyperparameterTuningJob) Reset()

func (*HyperparameterTuningJob) String 

func (m *HyperparameterTuningJob) String() string

func (*HyperparameterTuningJob) Validate 

func (m *HyperparameterTuningJob) Validate() error

Validate checks the field values on HyperparameterTuningJob with the rules defined in the proto definition for this message. If any rules are violated, an error is returned.

func (*HyperparameterTuningJob) XXX_DiscardUnknown 

func (m *HyperparameterTuningJob) XXX_DiscardUnknown()

func (*HyperparameterTuningJob) XXX_Marshal 

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

func (*HyperparameterTuningJob) XXX_Merge 

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

func (*HyperparameterTuningJob) XXX_Size 

func (m *HyperparameterTuningJob) XXX_Size() int

func (*HyperparameterTuningJob) XXX_Unmarshal 

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

type HyperparameterTuningJobConfig 

type HyperparameterTuningJobConfig struct {
	// ParameterRanges is a map that maps hyperparameter name to the corresponding hyperparameter range
	HyperparameterRanges *ParameterRanges `protobuf:"bytes,1,opt,name=hyperparameter_ranges,json=hyperparameterRanges,proto3" json:"hyperparameter_ranges,omitempty"`
	// Setting the strategy used when searching in the hyperparameter space
	TuningStrategy HyperparameterTuningStrategy_Value `` /* 171-byte string literal not displayed */
	// The target metric and the objective of the hyperparameter tuning.
	TuningObjective *HyperparameterTuningObjective `protobuf:"bytes,3,opt,name=tuning_objective,json=tuningObjective,proto3" json:"tuning_objective,omitempty"`
	// When the training jobs launched by the hyperparameter tuning job are not improving significantly,
	// a hyperparameter tuning job can be stopping early.
	TrainingJobEarlyStoppingType TrainingJobEarlyStoppingType_Value `` /* 219-byte string literal not displayed */
	XXX_NoUnkeyedLiteral         struct{}                           `json:"-"`
	XXX_unrecognized             []byte                             `json:"-"`
	XXX_sizecache                int32                              `json:"-"`
}

The specification of the hyperparameter tuning process https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-ex-tuning-job.html#automatic-model-tuning-ex-low-tuning-config

func (*HyperparameterTuningJobConfig) Descriptor 

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

func (*HyperparameterTuningJobConfig) GetHyperparameterRanges 

func (m *HyperparameterTuningJobConfig) GetHyperparameterRanges() *ParameterRanges

func (*HyperparameterTuningJobConfig) GetTrainingJobEarlyStoppingType 

func (m *HyperparameterTuningJobConfig) GetTrainingJobEarlyStoppingType() TrainingJobEarlyStoppingType_Value

func (*HyperparameterTuningJobConfig) GetTuningObjective 

func (m *HyperparameterTuningJobConfig) GetTuningObjective() *HyperparameterTuningObjective

func (*HyperparameterTuningJobConfig) GetTuningStrategy 

func (m *HyperparameterTuningJobConfig) GetTuningStrategy() HyperparameterTuningStrategy_Value

func (*HyperparameterTuningJobConfig) ProtoMessage 

func (*HyperparameterTuningJobConfig) ProtoMessage()

func (*HyperparameterTuningJobConfig) Reset 

func (m *HyperparameterTuningJobConfig) Reset()

func (*HyperparameterTuningJobConfig) String 

func (m *HyperparameterTuningJobConfig) String() string

func (*HyperparameterTuningJobConfig) Validate 

func (m *HyperparameterTuningJobConfig) Validate() error

Validate checks the field values on HyperparameterTuningJobConfig with the rules defined in the proto definition for this message. If any rules are violated, an error is returned.

func (*HyperparameterTuningJobConfig) XXX_DiscardUnknown 

func (m *HyperparameterTuningJobConfig) XXX_DiscardUnknown()

func (*HyperparameterTuningJobConfig) XXX_Marshal 

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

func (*HyperparameterTuningJobConfig) XXX_Merge 

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

func (*HyperparameterTuningJobConfig) XXX_Size 

func (m *HyperparameterTuningJobConfig) XXX_Size() int

func (*HyperparameterTuningJobConfig) XXX_Unmarshal 

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

type HyperparameterTuningJobConfigValidationError 

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

HyperparameterTuningJobConfigValidationError is the validation error returned by HyperparameterTuningJobConfig.Validate if the designated constraints aren't met.

func (HyperparameterTuningJobConfigValidationError) Cause 

func (e HyperparameterTuningJobConfigValidationError) Cause() error

Cause function returns cause value.

func (HyperparameterTuningJobConfigValidationError) Error 

func (e HyperparameterTuningJobConfigValidationError) Error() string

Error satisfies the builtin error interface

func (HyperparameterTuningJobConfigValidationError) ErrorName 

func (e HyperparameterTuningJobConfigValidationError) ErrorName() string

ErrorName returns error name.

func (HyperparameterTuningJobConfigValidationError) Field 

func (e HyperparameterTuningJobConfigValidationError) Field() string

Field function returns field value.

func (HyperparameterTuningJobConfigValidationError) Key 

func (e HyperparameterTuningJobConfigValidationError) Key() bool

Key function returns key value.

func (HyperparameterTuningJobConfigValidationError) Reason 

func (e HyperparameterTuningJobConfigValidationError) Reason() string

Reason function returns reason value.

type HyperparameterTuningJobValidationError 

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

HyperparameterTuningJobValidationError is the validation error returned by HyperparameterTuningJob.Validate if the designated constraints aren't met.

func (HyperparameterTuningJobValidationError) Cause 

func (e HyperparameterTuningJobValidationError) Cause() error

Cause function returns cause value.

func (HyperparameterTuningJobValidationError) Error 

func (e HyperparameterTuningJobValidationError) Error() string

Error satisfies the builtin error interface

func (HyperparameterTuningJobValidationError) ErrorName 

func (e HyperparameterTuningJobValidationError) ErrorName() string

ErrorName returns error name.

func (HyperparameterTuningJobValidationError) Field 

func (e HyperparameterTuningJobValidationError) Field() string

Field function returns field value.

func (HyperparameterTuningJobValidationError) Key 

func (e HyperparameterTuningJobValidationError) Key() bool

Key function returns key value.

func (HyperparameterTuningJobValidationError) Reason 

func (e HyperparameterTuningJobValidationError) Reason() string

Reason function returns reason value.

type HyperparameterTuningObjective 

type HyperparameterTuningObjective struct {
	// HyperparameterTuningObjectiveType determines the direction of the tuning of the Hyperparameter Tuning Job
	// with respect to the specified metric.
	ObjectiveType HyperparameterTuningObjectiveType_Value `` /* 173-byte string literal not displayed */
	// The target metric name, which is the user-defined name of the metric specified in the
	// training job's algorithm specification
	MetricName           string   `protobuf:"bytes,2,opt,name=metric_name,json=metricName,proto3" json:"metric_name,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

The target metric and the objective of the hyperparameter tuning. https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-metrics.html

func (*HyperparameterTuningObjective) Descriptor 

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

func (*HyperparameterTuningObjective) GetMetricName 

func (m *HyperparameterTuningObjective) GetMetricName() string

func (*HyperparameterTuningObjective) GetObjectiveType 

func (m *HyperparameterTuningObjective) GetObjectiveType() HyperparameterTuningObjectiveType_Value

func (*HyperparameterTuningObjective) ProtoMessage 

func (*HyperparameterTuningObjective) ProtoMessage()

func (*HyperparameterTuningObjective) Reset 

func (m *HyperparameterTuningObjective) Reset()

func (*HyperparameterTuningObjective) String 

func (m *HyperparameterTuningObjective) String() string

func (*HyperparameterTuningObjective) Validate 

func (m *HyperparameterTuningObjective) Validate() error

Validate checks the field values on HyperparameterTuningObjective with the rules defined in the proto definition for this message. If any rules are violated, an error is returned.

func (*HyperparameterTuningObjective) XXX_DiscardUnknown 

func (m *HyperparameterTuningObjective) XXX_DiscardUnknown()

func (*HyperparameterTuningObjective) XXX_Marshal 

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

func (*HyperparameterTuningObjective) XXX_Merge 

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

func (*HyperparameterTuningObjective) XXX_Size 

func (m *HyperparameterTuningObjective) XXX_Size() int

func (*HyperparameterTuningObjective) XXX_Unmarshal 

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

type HyperparameterTuningObjectiveType 

type HyperparameterTuningObjectiveType struct {
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

HyperparameterTuningObjectiveType determines the direction of the tuning of the Hyperparameter Tuning Job with respect to the specified metric.

func (*HyperparameterTuningObjectiveType) Descriptor 

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

func (*HyperparameterTuningObjectiveType) ProtoMessage 

func (*HyperparameterTuningObjectiveType) ProtoMessage()

func (*HyperparameterTuningObjectiveType) Reset 

func (m *HyperparameterTuningObjectiveType) Reset()

func (*HyperparameterTuningObjectiveType) String 

func (m *HyperparameterTuningObjectiveType) String() string

func (*HyperparameterTuningObjectiveType) Validate 

func (m *HyperparameterTuningObjectiveType) Validate() error

Validate checks the field values on HyperparameterTuningObjectiveType with the rules defined in the proto definition for this message. If any rules are violated, an error is returned.

func (*HyperparameterTuningObjectiveType) XXX_DiscardUnknown 

func (m *HyperparameterTuningObjectiveType) XXX_DiscardUnknown()

func (*HyperparameterTuningObjectiveType) XXX_Marshal 

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

func (*HyperparameterTuningObjectiveType) XXX_Merge 

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

func (*HyperparameterTuningObjectiveType) XXX_Size 

func (m *HyperparameterTuningObjectiveType) XXX_Size() int

func (*HyperparameterTuningObjectiveType) XXX_Unmarshal 

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

type HyperparameterTuningObjectiveTypeValidationError 

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

HyperparameterTuningObjectiveTypeValidationError is the validation error returned by HyperparameterTuningObjectiveType.Validate if the designated constraints aren't met.

func (HyperparameterTuningObjectiveTypeValidationError) Cause 

func (e HyperparameterTuningObjectiveTypeValidationError) Cause() error

Cause function returns cause value.

func (HyperparameterTuningObjectiveTypeValidationError) Error 

func (e HyperparameterTuningObjectiveTypeValidationError) Error() string

Error satisfies the builtin error interface

func (HyperparameterTuningObjectiveTypeValidationError) ErrorName 

func (e HyperparameterTuningObjectiveTypeValidationError) ErrorName() string

ErrorName returns error name.

func (HyperparameterTuningObjectiveTypeValidationError) Field 

func (e HyperparameterTuningObjectiveTypeValidationError) Field() string

Field function returns field value.

func (HyperparameterTuningObjectiveTypeValidationError) Key 

func (e HyperparameterTuningObjectiveTypeValidationError) Key() bool

Key function returns key value.

func (HyperparameterTuningObjectiveTypeValidationError) Reason 

func (e HyperparameterTuningObjectiveTypeValidationError) Reason() string

Reason function returns reason value.

type HyperparameterTuningObjectiveType_Value 

type HyperparameterTuningObjectiveType_Value int32
const (
	HyperparameterTuningObjectiveType_MINIMIZE HyperparameterTuningObjectiveType_Value = 0
	HyperparameterTuningObjectiveType_MAXIMIZE HyperparameterTuningObjectiveType_Value = 1
)

func (HyperparameterTuningObjectiveType_Value) EnumDescriptor 

func (HyperparameterTuningObjectiveType_Value) EnumDescriptor() ([]byte, []int)

func (HyperparameterTuningObjectiveType_Value) String 

func (x HyperparameterTuningObjectiveType_Value) String() string

type HyperparameterTuningObjectiveValidationError 

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

HyperparameterTuningObjectiveValidationError is the validation error returned by HyperparameterTuningObjective.Validate if the designated constraints aren't met.

func (HyperparameterTuningObjectiveValidationError) Cause 

func (e HyperparameterTuningObjectiveValidationError) Cause() error

Cause function returns cause value.

func (HyperparameterTuningObjectiveValidationError) Error 

func (e HyperparameterTuningObjectiveValidationError) Error() string

Error satisfies the builtin error interface

func (HyperparameterTuningObjectiveValidationError) ErrorName 

func (e HyperparameterTuningObjectiveValidationError) ErrorName() string

ErrorName returns error name.

func (HyperparameterTuningObjectiveValidationError) Field 

func (e HyperparameterTuningObjectiveValidationError) Field() string

Field function returns field value.

func (HyperparameterTuningObjectiveValidationError) Key 

func (e HyperparameterTuningObjectiveValidationError) Key() bool

Key function returns key value.

func (HyperparameterTuningObjectiveValidationError) Reason 

func (e HyperparameterTuningObjectiveValidationError) Reason() string

Reason function returns reason value.

type HyperparameterTuningStrategy 

type HyperparameterTuningStrategy struct {
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Setting the strategy used when searching in the hyperparameter space Refer this doc for more details: https://aws.amazon.com/blogs/machine-learning/amazon-sagemaker-automatic-model-tuning-now-supports-random-search-and-hyperparameter-scaling/

func (*HyperparameterTuningStrategy) Descriptor 

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

func (*HyperparameterTuningStrategy) ProtoMessage 

func (*HyperparameterTuningStrategy) ProtoMessage()

func (*HyperparameterTuningStrategy) Reset 

func (m *HyperparameterTuningStrategy) Reset()

func (*HyperparameterTuningStrategy) String 

func (m *HyperparameterTuningStrategy) String() string

func (*HyperparameterTuningStrategy) Validate 

func (m *HyperparameterTuningStrategy) Validate() error

Validate checks the field values on HyperparameterTuningStrategy with the rules defined in the proto definition for this message. If any rules are violated, an error is returned.

func (*HyperparameterTuningStrategy) XXX_DiscardUnknown 

func (m *HyperparameterTuningStrategy) XXX_DiscardUnknown()

func (*HyperparameterTuningStrategy) XXX_Marshal 

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

func (*HyperparameterTuningStrategy) XXX_Merge 

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

func (*HyperparameterTuningStrategy) XXX_Size 

func (m *HyperparameterTuningStrategy) XXX_Size() int

func (*HyperparameterTuningStrategy) XXX_Unmarshal 

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

type HyperparameterTuningStrategyValidationError 

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

HyperparameterTuningStrategyValidationError is the validation error returned by HyperparameterTuningStrategy.Validate if the designated constraints aren't met.

func (HyperparameterTuningStrategyValidationError) Cause 

func (e HyperparameterTuningStrategyValidationError) Cause() error

Cause function returns cause value.

func (HyperparameterTuningStrategyValidationError) Error 

func (e HyperparameterTuningStrategyValidationError) Error() string

Error satisfies the builtin error interface

func (HyperparameterTuningStrategyValidationError) ErrorName 

func (e HyperparameterTuningStrategyValidationError) ErrorName() string

ErrorName returns error name.

func (HyperparameterTuningStrategyValidationError) Field 

func (e HyperparameterTuningStrategyValidationError) Field() string

Field function returns field value.

func (HyperparameterTuningStrategyValidationError) Key 

func (e HyperparameterTuningStrategyValidationError) Key() bool

Key function returns key value.

func (HyperparameterTuningStrategyValidationError) Reason 

func (e HyperparameterTuningStrategyValidationError) Reason() string

Reason function returns reason value.

type HyperparameterTuningStrategy_Value 

type HyperparameterTuningStrategy_Value int32
const (
	HyperparameterTuningStrategy_BAYESIAN HyperparameterTuningStrategy_Value = 0
	HyperparameterTuningStrategy_RANDOM   HyperparameterTuningStrategy_Value = 1
)

func (HyperparameterTuningStrategy_Value) EnumDescriptor 

func (HyperparameterTuningStrategy_Value) EnumDescriptor() ([]byte, []int)

func (HyperparameterTuningStrategy_Value) String 

func (x HyperparameterTuningStrategy_Value) String() string

type InputContentType 

type InputContentType struct {
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Specifies the type of file for input data. Different SageMaker built-in algorithms require different file types of input data See https://docs.aws.amazon.com/sagemaker/latest/dg/cdf-training.html https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-algo-docker-registry-paths.html

func (*InputContentType) Descriptor 

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

func (*InputContentType) ProtoMessage 

func (*InputContentType) ProtoMessage()

func (*InputContentType) Reset 

func (m *InputContentType) Reset()

func (*InputContentType) String 

func (m *InputContentType) String() string

func (*InputContentType) Validate 

func (m *InputContentType) Validate() error

Validate checks the field values on InputContentType with the rules defined in the proto definition for this message. If any rules are violated, an error is returned.

func (*InputContentType) XXX_DiscardUnknown 

func (m *InputContentType) XXX_DiscardUnknown()

func (*InputContentType) XXX_Marshal 

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

func (*InputContentType) XXX_Merge 

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

func (*InputContentType) XXX_Size 

func (m *InputContentType) XXX_Size() int

func (*InputContentType) XXX_Unmarshal 

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

type InputContentTypeValidationError 

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

InputContentTypeValidationError is the validation error returned by InputContentType.Validate if the designated constraints aren't met.

func (InputContentTypeValidationError) Cause 

func (e InputContentTypeValidationError) Cause() error

Cause function returns cause value.

func (InputContentTypeValidationError) Error 

func (e InputContentTypeValidationError) Error() string

Error satisfies the builtin error interface

func (InputContentTypeValidationError) ErrorName 

func (e InputContentTypeValidationError) ErrorName() string

ErrorName returns error name.

func (InputContentTypeValidationError) Field 

func (e InputContentTypeValidationError) Field() string

Field function returns field value.

func (InputContentTypeValidationError) Key 

func (e InputContentTypeValidationError) Key() bool

Key function returns key value.

func (InputContentTypeValidationError) Reason 

func (e InputContentTypeValidationError) Reason() string

Reason function returns reason value.

type InputContentType_Value 

type InputContentType_Value int32
const (
	InputContentType_TEXT_CSV InputContentType_Value = 0
)

func (InputContentType_Value) EnumDescriptor 

func (InputContentType_Value) EnumDescriptor() ([]byte, []int)

func (InputContentType_Value) String 

func (x InputContentType_Value) String() string

type InputMode 

type InputMode struct {
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

The input mode that the algorithm supports. When using the File input mode, SageMaker downloads the training data from S3 to the provisioned ML storage Volume, and mounts the directory to docker volume for training container. When using Pipe input mode, Amazon SageMaker streams data directly from S3 to the container. See: https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AlgorithmSpecification.html For the input modes that different SageMaker algorithms support, see: https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-algo-docker-registry-paths.html

func (*InputMode) Descriptor 

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

func (*InputMode) ProtoMessage 

func (*InputMode) ProtoMessage()

func (*InputMode) Reset 

func (m *InputMode) Reset()

func (*InputMode) String 

func (m *InputMode) String() string

func (*InputMode) Validate 

func (m *InputMode) Validate() error

Validate checks the field values on InputMode with the rules defined in the proto definition for this message. If any rules are violated, an error is returned.

func (*InputMode) XXX_DiscardUnknown 

func (m *InputMode) XXX_DiscardUnknown()

func (*InputMode) XXX_Marshal 

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

func (*InputMode) XXX_Merge 

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

func (*InputMode) XXX_Size 

func (m *InputMode) XXX_Size() int

func (*InputMode) XXX_Unmarshal 

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

type InputModeValidationError 

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

InputModeValidationError is the validation error returned by InputMode.Validate if the designated constraints aren't met.

func (InputModeValidationError) Cause 

func (e InputModeValidationError) Cause() error

Cause function returns cause value.

func (InputModeValidationError) Error 

func (e InputModeValidationError) Error() string

Error satisfies the builtin error interface

func (InputModeValidationError) ErrorName 

func (e InputModeValidationError) ErrorName() string

ErrorName returns error name.

func (InputModeValidationError) Field 

func (e InputModeValidationError) Field() string

Field function returns field value.

func (InputModeValidationError) Key 

func (e InputModeValidationError) Key() bool

Key function returns key value.

func (InputModeValidationError) Reason 

func (e InputModeValidationError) Reason() string

Reason function returns reason value.

type InputMode_Value 

type InputMode_Value int32
const (
	InputMode_FILE InputMode_Value = 0
	InputMode_PIPE InputMode_Value = 1
)

func (InputMode_Value) EnumDescriptor 

func (InputMode_Value) EnumDescriptor() ([]byte, []int)

func (InputMode_Value) String 

func (x InputMode_Value) String() string

type IntegerParameterRange 

type IntegerParameterRange struct {
	MaxValue             int64                           `protobuf:"varint,1,opt,name=max_value,json=maxValue,proto3" json:"max_value,omitempty"`
	MinValue             int64                           `protobuf:"varint,2,opt,name=min_value,json=minValue,proto3" json:"min_value,omitempty"`
	ScalingType          HyperparameterScalingType_Value `` /* 159-byte string literal not displayed */
	XXX_NoUnkeyedLiteral struct{}                        `json:"-"`
	XXX_unrecognized     []byte                          `json:"-"`
	XXX_sizecache        int32                           `json:"-"`
}

IntegerParameterRange refers to a discrete range of hyperparameter values, allowing users to specify the search space of an integer hyperparameter https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-ranges.html

func (*IntegerParameterRange) Descriptor 

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

func (*IntegerParameterRange) GetMaxValue 

func (m *IntegerParameterRange) GetMaxValue() int64

func (*IntegerParameterRange) GetMinValue 

func (m *IntegerParameterRange) GetMinValue() int64

func (*IntegerParameterRange) GetScalingType 

func (m *IntegerParameterRange) GetScalingType() HyperparameterScalingType_Value

func (*IntegerParameterRange) ProtoMessage 

func (*IntegerParameterRange) ProtoMessage()

func (*IntegerParameterRange) Reset 

func (m *IntegerParameterRange) Reset()

func (*IntegerParameterRange) String 

func (m *IntegerParameterRange) String() string

func (*IntegerParameterRange) Validate 

func (m *IntegerParameterRange) Validate() error

Validate checks the field values on IntegerParameterRange with the rules defined in the proto definition for this message. If any rules are violated, an error is returned.

func (*IntegerParameterRange) XXX_DiscardUnknown 

func (m *IntegerParameterRange) XXX_DiscardUnknown()

func (*IntegerParameterRange) XXX_Marshal 

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

func (*IntegerParameterRange) XXX_Merge 

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

func (*IntegerParameterRange) XXX_Size 

func (m *IntegerParameterRange) XXX_Size() int

func (*IntegerParameterRange) XXX_Unmarshal 

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

type IntegerParameterRangeValidationError 

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

IntegerParameterRangeValidationError is the validation error returned by IntegerParameterRange.Validate if the designated constraints aren't met.

func (IntegerParameterRangeValidationError) Cause 

func (e IntegerParameterRangeValidationError) Cause() error

Cause function returns cause value.

func (IntegerParameterRangeValidationError) Error 

func (e IntegerParameterRangeValidationError) Error() string

Error satisfies the builtin error interface

func (IntegerParameterRangeValidationError) ErrorName 

func (e IntegerParameterRangeValidationError) ErrorName() string

ErrorName returns error name.

func (IntegerParameterRangeValidationError) Field 

func (e IntegerParameterRangeValidationError) Field() string

Field function returns field value.

func (IntegerParameterRangeValidationError) Key 

func (e IntegerParameterRangeValidationError) Key() bool

Key function returns key value.

func (IntegerParameterRangeValidationError) Reason 

func (e IntegerParameterRangeValidationError) Reason() string

Reason function returns reason value.

type MetricDefinition 

type MetricDefinition struct {
	// User-defined name of the metric
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// SageMaker hyperparameter tuning parses your algorithm’s stdout and stderr streams to find algorithm metrics
	Regex                string   `protobuf:"bytes,2,opt,name=regex,proto3" json:"regex,omitempty"`
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

Specifies a metric that the training algorithm writes to stderr or stdout. This object is a pass-through. See this for details: https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MetricDefinition.html

func (*MetricDefinition) Descriptor 

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

func (*MetricDefinition) GetName 

func (m *MetricDefinition) GetName() string

func (*MetricDefinition) GetRegex 

func (m *MetricDefinition) GetRegex() string

func (*MetricDefinition) ProtoMessage 

func (*MetricDefinition) ProtoMessage()

func (*MetricDefinition) Reset 

func (m *MetricDefinition) Reset()

func (*MetricDefinition) String 

func (m *MetricDefinition) String() string

func (*MetricDefinition) Validate 

func (m *MetricDefinition) Validate() error

Validate checks the field values on MetricDefinition with the rules defined in the proto definition for this message. If any rules are violated, an error is returned.

func (*MetricDefinition) XXX_DiscardUnknown 

func (m *MetricDefinition) XXX_DiscardUnknown()

func (*MetricDefinition) XXX_Marshal 

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

func (*MetricDefinition) XXX_Merge 

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

func (*MetricDefinition) XXX_Size 

func (m *MetricDefinition) XXX_Size() int

func (*MetricDefinition) XXX_Unmarshal 

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

type MetricDefinitionValidationError 

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

MetricDefinitionValidationError is the validation error returned by MetricDefinition.Validate if the designated constraints aren't met.

func (MetricDefinitionValidationError) Cause 

func (e MetricDefinitionValidationError) Cause() error

Cause function returns cause value.

func (MetricDefinitionValidationError) Error 

func (e MetricDefinitionValidationError) Error() string

Error satisfies the builtin error interface

func (MetricDefinitionValidationError) ErrorName 

func (e MetricDefinitionValidationError) ErrorName() string

ErrorName returns error name.

func (MetricDefinitionValidationError) Field 

func (e MetricDefinitionValidationError) Field() string

Field function returns field value.

func (MetricDefinitionValidationError) Key 

func (e MetricDefinitionValidationError) Key() bool

Key function returns key value.

func (MetricDefinitionValidationError) Reason 

func (e MetricDefinitionValidationError) Reason() string

Reason function returns reason value.

type ParameterRangeOneOf 

type ParameterRangeOneOf struct {
	// Types that are valid to be assigned to ParameterRangeType:
	//	*ParameterRangeOneOf_ContinuousParameterRange
	//	*ParameterRangeOneOf_IntegerParameterRange
	//	*ParameterRangeOneOf_CategoricalParameterRange
	ParameterRangeType   isParameterRangeOneOf_ParameterRangeType `protobuf_oneof:"parameter_range_type"`
	XXX_NoUnkeyedLiteral struct{}                                 `json:"-"`
	XXX_unrecognized     []byte                                   `json:"-"`
	XXX_sizecache        int32                                    `json:"-"`
}

ParameterRangeOneOf describes a single ParameterRange, which is a one-of structure that can be one of the three possible types: ContinuousParameterRange, IntegerParameterRange, and CategoricalParameterRange. This one-of structure in Flyte enables specifying a Parameter in a type-safe manner See: https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-ranges.html

func (*ParameterRangeOneOf) Descriptor 

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

func (*ParameterRangeOneOf) GetCategoricalParameterRange 

func (m *ParameterRangeOneOf) GetCategoricalParameterRange() *CategoricalParameterRange

func (*ParameterRangeOneOf) GetContinuousParameterRange 

func (m *ParameterRangeOneOf) GetContinuousParameterRange() *ContinuousParameterRange

func (*ParameterRangeOneOf) GetIntegerParameterRange 

func (m *ParameterRangeOneOf) GetIntegerParameterRange() *IntegerParameterRange

func (*ParameterRangeOneOf) GetParameterRangeType 

func (m *ParameterRangeOneOf) GetParameterRangeType() isParameterRangeOneOf_ParameterRangeType

func (*ParameterRangeOneOf) ProtoMessage 

func (*ParameterRangeOneOf) ProtoMessage()

func (*ParameterRangeOneOf) Reset 

func (m *ParameterRangeOneOf) Reset()

func (*ParameterRangeOneOf) String 

func (m *ParameterRangeOneOf) String() string

func (*ParameterRangeOneOf) Validate 

func (m *ParameterRangeOneOf) Validate() error

Validate checks the field values on ParameterRangeOneOf with the rules defined in the proto definition for this message. If any rules are violated, an error is returned.

func (*ParameterRangeOneOf) XXX_DiscardUnknown 

func (m *ParameterRangeOneOf) XXX_DiscardUnknown()

func (*ParameterRangeOneOf) XXX_Marshal 

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

func (*ParameterRangeOneOf) XXX_Merge 

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

func (*ParameterRangeOneOf) XXX_OneofWrappers 

func (*ParameterRangeOneOf) XXX_OneofWrappers() []interface{}

XXX_OneofWrappers is for the internal use of the proto package.

func (*ParameterRangeOneOf) XXX_Size 

func (m *ParameterRangeOneOf) XXX_Size() int

func (*ParameterRangeOneOf) XXX_Unmarshal 

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

type ParameterRangeOneOfValidationError 

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

ParameterRangeOneOfValidationError is the validation error returned by ParameterRangeOneOf.Validate if the designated constraints aren't met.

func (ParameterRangeOneOfValidationError) Cause 

func (e ParameterRangeOneOfValidationError) Cause() error

Cause function returns cause value.

func (ParameterRangeOneOfValidationError) Error 

func (e ParameterRangeOneOfValidationError) Error() string

Error satisfies the builtin error interface

func (ParameterRangeOneOfValidationError) ErrorName 

func (e ParameterRangeOneOfValidationError) ErrorName() string

ErrorName returns error name.

func (ParameterRangeOneOfValidationError) Field 

func (e ParameterRangeOneOfValidationError) Field() string

Field function returns field value.

func (ParameterRangeOneOfValidationError) Key 

func (e ParameterRangeOneOfValidationError) Key() bool

Key function returns key value.

func (ParameterRangeOneOfValidationError) Reason 

func (e ParameterRangeOneOfValidationError) Reason() string

Reason function returns reason value.

type ParameterRangeOneOf_CategoricalParameterRange 

type ParameterRangeOneOf_CategoricalParameterRange struct {
	CategoricalParameterRange *CategoricalParameterRange `protobuf:"bytes,3,opt,name=categorical_parameter_range,json=categoricalParameterRange,proto3,oneof"`
}

type ParameterRangeOneOf_ContinuousParameterRange 

type ParameterRangeOneOf_ContinuousParameterRange struct {
	ContinuousParameterRange *ContinuousParameterRange `protobuf:"bytes,1,opt,name=continuous_parameter_range,json=continuousParameterRange,proto3,oneof"`
}

type ParameterRangeOneOf_IntegerParameterRange 

type ParameterRangeOneOf_IntegerParameterRange struct {
	IntegerParameterRange *IntegerParameterRange `protobuf:"bytes,2,opt,name=integer_parameter_range,json=integerParameterRange,proto3,oneof"`
}

type ParameterRanges 

type ParameterRanges struct {
	ParameterRangeMap    map[string]*ParameterRangeOneOf `` /* 202-byte string literal not displayed */
	XXX_NoUnkeyedLiteral struct{}                        `json:"-"`
	XXX_unrecognized     []byte                          `json:"-"`
	XXX_sizecache        int32                           `json:"-"`
}

ParameterRanges is a map that maps hyperparameter name to the corresponding hyperparameter range https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-ranges.html

func (*ParameterRanges) Descriptor 

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

func (*ParameterRanges) GetParameterRangeMap 

func (m *ParameterRanges) GetParameterRangeMap() map[string]*ParameterRangeOneOf

func (*ParameterRanges) ProtoMessage 

func (*ParameterRanges) ProtoMessage()

func (*ParameterRanges) Reset 

func (m *ParameterRanges) Reset()

func (*ParameterRanges) String 

func (m *ParameterRanges) String() string

func (*ParameterRanges) Validate 

func (m *ParameterRanges) Validate() error

Validate checks the field values on ParameterRanges with the rules defined in the proto definition for this message. If any rules are violated, an error is returned.

func (*ParameterRanges) XXX_DiscardUnknown 

func (m *ParameterRanges) XXX_DiscardUnknown()

func (*ParameterRanges) XXX_Marshal 

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

func (*ParameterRanges) XXX_Merge 

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

func (*ParameterRanges) XXX_Size 

func (m *ParameterRanges) XXX_Size() int

func (*ParameterRanges) XXX_Unmarshal 

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

type ParameterRangesValidationError 

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

ParameterRangesValidationError is the validation error returned by ParameterRanges.Validate if the designated constraints aren't met.

func (ParameterRangesValidationError) Cause 

func (e ParameterRangesValidationError) Cause() error

Cause function returns cause value.

func (ParameterRangesValidationError) Error 

func (e ParameterRangesValidationError) Error() string

Error satisfies the builtin error interface

func (ParameterRangesValidationError) ErrorName 

func (e ParameterRangesValidationError) ErrorName() string

ErrorName returns error name.

func (ParameterRangesValidationError) Field 

func (e ParameterRangesValidationError) Field() string

Field function returns field value.

func (ParameterRangesValidationError) Key 

func (e ParameterRangesValidationError) Key() bool

Key function returns key value.

func (ParameterRangesValidationError) Reason 

func (e ParameterRangesValidationError) Reason() string

Reason function returns reason value.

type TrainingJob 

type TrainingJob struct {
	AlgorithmSpecification    *AlgorithmSpecification    `` /* 127-byte string literal not displayed */
	TrainingJobResourceConfig *TrainingJobResourceConfig `` /* 140-byte string literal not displayed */
	XXX_NoUnkeyedLiteral      struct{}                   `json:"-"`
	XXX_unrecognized          []byte                     `json:"-"`
	XXX_sizecache             int32                      `json:"-"`
}

The spec of a training job. This is mostly a pass-through object https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTrainingJob.html

func (*TrainingJob) Descriptor 

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

func (*TrainingJob) GetAlgorithmSpecification 

func (m *TrainingJob) GetAlgorithmSpecification() *AlgorithmSpecification

func (*TrainingJob) GetTrainingJobResourceConfig 

func (m *TrainingJob) GetTrainingJobResourceConfig() *TrainingJobResourceConfig

func (*TrainingJob) ProtoMessage 

func (*TrainingJob) ProtoMessage()

func (*TrainingJob) Reset 

func (m *TrainingJob) Reset()

func (*TrainingJob) String 

func (m *TrainingJob) String() string

func (*TrainingJob) Validate 

func (m *TrainingJob) Validate() error

Validate checks the field values on TrainingJob with the rules defined in the proto definition for this message. If any rules are violated, an error is returned.

func (*TrainingJob) XXX_DiscardUnknown 

func (m *TrainingJob) XXX_DiscardUnknown()

func (*TrainingJob) XXX_Marshal 

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

func (*TrainingJob) XXX_Merge 

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

func (*TrainingJob) XXX_Size 

func (m *TrainingJob) XXX_Size() int

func (*TrainingJob) XXX_Unmarshal 

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

type TrainingJobEarlyStoppingType 

type TrainingJobEarlyStoppingType struct {
	XXX_NoUnkeyedLiteral struct{} `json:"-"`
	XXX_unrecognized     []byte   `json:"-"`
	XXX_sizecache        int32    `json:"-"`
}

When the training jobs launched by the hyperparameter tuning job are not improving significantly, a hyperparameter tuning job can be stopping early. Note that there's only a subset of built-in algorithms that supports early stopping. see: https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-early-stopping.html

func (*TrainingJobEarlyStoppingType) Descriptor 

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

func (*TrainingJobEarlyStoppingType) ProtoMessage 

func (*TrainingJobEarlyStoppingType) ProtoMessage()

func (*TrainingJobEarlyStoppingType) Reset 

func (m *TrainingJobEarlyStoppingType) Reset()

func (*TrainingJobEarlyStoppingType) String 

func (m *TrainingJobEarlyStoppingType) String() string

func (*TrainingJobEarlyStoppingType) Validate 

func (m *TrainingJobEarlyStoppingType) Validate() error

Validate checks the field values on TrainingJobEarlyStoppingType with the rules defined in the proto definition for this message. If any rules are violated, an error is returned.

func (*TrainingJobEarlyStoppingType) XXX_DiscardUnknown 

func (m *TrainingJobEarlyStoppingType) XXX_DiscardUnknown()

func (*TrainingJobEarlyStoppingType) XXX_Marshal 

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

func (*TrainingJobEarlyStoppingType) XXX_Merge 

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

func (*TrainingJobEarlyStoppingType) XXX_Size 

func (m *TrainingJobEarlyStoppingType) XXX_Size() int

func (*TrainingJobEarlyStoppingType) XXX_Unmarshal 

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

type TrainingJobEarlyStoppingTypeValidationError 

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

TrainingJobEarlyStoppingTypeValidationError is the validation error returned by TrainingJobEarlyStoppingType.Validate if the designated constraints aren't met.

func (TrainingJobEarlyStoppingTypeValidationError) Cause 

func (e TrainingJobEarlyStoppingTypeValidationError) Cause() error

Cause function returns cause value.

func (TrainingJobEarlyStoppingTypeValidationError) Error 

func (e TrainingJobEarlyStoppingTypeValidationError) Error() string

Error satisfies the builtin error interface

func (TrainingJobEarlyStoppingTypeValidationError) ErrorName 

func (e TrainingJobEarlyStoppingTypeValidationError) ErrorName() string

ErrorName returns error name.

func (TrainingJobEarlyStoppingTypeValidationError) Field 

func (e TrainingJobEarlyStoppingTypeValidationError) Field() string

Field function returns field value.

func (TrainingJobEarlyStoppingTypeValidationError) Key 

func (e TrainingJobEarlyStoppingTypeValidationError) Key() bool

Key function returns key value.

func (TrainingJobEarlyStoppingTypeValidationError) Reason 

func (e TrainingJobEarlyStoppingTypeValidationError) Reason() string

Reason function returns reason value.

type TrainingJobEarlyStoppingType_Value 

type TrainingJobEarlyStoppingType_Value int32
const (
	TrainingJobEarlyStoppingType_OFF  TrainingJobEarlyStoppingType_Value = 0
	TrainingJobEarlyStoppingType_AUTO TrainingJobEarlyStoppingType_Value = 1
)

func (TrainingJobEarlyStoppingType_Value) EnumDescriptor 

func (TrainingJobEarlyStoppingType_Value) EnumDescriptor() ([]byte, []int)

func (TrainingJobEarlyStoppingType_Value) String 

func (x TrainingJobEarlyStoppingType_Value) String() string

type TrainingJobResourceConfig 

type TrainingJobResourceConfig struct {
	// The number of ML compute instances to use. For distributed training, provide a value greater than 1.
	InstanceCount int64 `protobuf:"varint,1,opt,name=instance_count,json=instanceCount,proto3" json:"instance_count,omitempty"`
	// The ML compute instance type
	InstanceType string `protobuf:"bytes,2,opt,name=instance_type,json=instanceType,proto3" json:"instance_type,omitempty"`
	// The size of the ML storage volume that you want to provision.
	VolumeSizeInGb int64 `protobuf:"varint,3,opt,name=volume_size_in_gb,json=volumeSizeInGb,proto3" json:"volume_size_in_gb,omitempty"`
	// When users specify an instance_count > 1, Flyte will try to configure SageMaker to enable distributed training.
	// If the users wish to use framework-agnostic distributed protocol such as MPI or Parameter Server, this
	// field should be set to the corresponding enum value
	DistributedProtocol  DistributedProtocol_Value `` /* 177-byte string literal not displayed */
	XXX_NoUnkeyedLiteral struct{}                  `json:"-"`
	XXX_unrecognized     []byte                    `json:"-"`
	XXX_sizecache        int32                     `json:"-"`
}

TrainingJobResourceConfig is a pass-through, specifying the instance type to use for the training job, the number of instances to launch, and the size of the ML storage volume the user wants to provision Refer to SageMaker official doc for more details: https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTrainingJob.html

func (*TrainingJobResourceConfig) Descriptor 

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

func (*TrainingJobResourceConfig) GetDistributedProtocol 

func (m *TrainingJobResourceConfig) GetDistributedProtocol() DistributedProtocol_Value

func (*TrainingJobResourceConfig) GetInstanceCount 

func (m *TrainingJobResourceConfig) GetInstanceCount() int64

func (*TrainingJobResourceConfig) GetInstanceType 

func (m *TrainingJobResourceConfig) GetInstanceType() string

func (*TrainingJobResourceConfig) GetVolumeSizeInGb 

func (m *TrainingJobResourceConfig) GetVolumeSizeInGb() int64

func (*TrainingJobResourceConfig) ProtoMessage 

func (*TrainingJobResourceConfig) ProtoMessage()

func (*TrainingJobResourceConfig) Reset 

func (m *TrainingJobResourceConfig) Reset()

func (*TrainingJobResourceConfig) String 

func (m *TrainingJobResourceConfig) String() string

func (*TrainingJobResourceConfig) Validate 

func (m *TrainingJobResourceConfig) Validate() error

Validate checks the field values on TrainingJobResourceConfig with the rules defined in the proto definition for this message. If any rules are violated, an error is returned.

func (*TrainingJobResourceConfig) XXX_DiscardUnknown 

func (m *TrainingJobResourceConfig) XXX_DiscardUnknown()

func (*TrainingJobResourceConfig) XXX_Marshal 

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

func (*TrainingJobResourceConfig) XXX_Merge 

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

func (*TrainingJobResourceConfig) XXX_Size 

func (m *TrainingJobResourceConfig) XXX_Size() int

func (*TrainingJobResourceConfig) XXX_Unmarshal 

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

type TrainingJobResourceConfigValidationError 

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

TrainingJobResourceConfigValidationError is the validation error returned by TrainingJobResourceConfig.Validate if the designated constraints aren't met.

func (TrainingJobResourceConfigValidationError) Cause 

func (e TrainingJobResourceConfigValidationError) Cause() error

Cause function returns cause value.

func (TrainingJobResourceConfigValidationError) Error 

func (e TrainingJobResourceConfigValidationError) Error() string

Error satisfies the builtin error interface

func (TrainingJobResourceConfigValidationError) ErrorName 

func (e TrainingJobResourceConfigValidationError) ErrorName() string

ErrorName returns error name.

func (TrainingJobResourceConfigValidationError) Field 

func (e TrainingJobResourceConfigValidationError) Field() string

Field function returns field value.

func (TrainingJobResourceConfigValidationError) Key 

func (e TrainingJobResourceConfigValidationError) Key() bool

Key function returns key value.

func (TrainingJobResourceConfigValidationError) Reason 

func (e TrainingJobResourceConfigValidationError) Reason() string

Reason function returns reason value.

type TrainingJobValidationError 

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

TrainingJobValidationError is the validation error returned by TrainingJob.Validate if the designated constraints aren't met.

func (TrainingJobValidationError) Cause 

func (e TrainingJobValidationError) Cause() error

Cause function returns cause value.

func (TrainingJobValidationError) Error 

func (e TrainingJobValidationError) Error() string

Error satisfies the builtin error interface

func (TrainingJobValidationError) ErrorName 

func (e TrainingJobValidationError) ErrorName() string

ErrorName returns error name.

func (TrainingJobValidationError) Field 

func (e TrainingJobValidationError) Field() string

Field function returns field value.

func (TrainingJobValidationError) Key 

func (e TrainingJobValidationError) Key() bool

Key function returns key value.

func (TrainingJobValidationError) Reason 

func (e TrainingJobValidationError) Reason() string

Reason function returns reason value.

Source Files

View all Source files

Jump to

Keyboard shortcuts

? : This menu
/ : Search site
f or F : Jump to
y or Y : Canonical URL
go.dev uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Learn more.