googlevertexaifeaturestoreentitytype

package
v12.0.2 Latest Latest
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 Go to latest Published: Oct 31, 2023 License: MPL-2.0 Imports: 7 Imported by: 0

README

google_vertex_ai_featurestore_entitytype

Refer to the Terraform Registory for docs: google_vertex_ai_featurestore_entitytype.

Documentation

Index

Constants

This section is empty.

Variables

This section is empty.

Functions

func GoogleVertexAiFeaturestoreEntitytype_GenerateConfigForImport 

func GoogleVertexAiFeaturestoreEntitytype_GenerateConfigForImport(scope constructs.Construct, importToId *string, importFromId *string, provider cdktf.TerraformProvider) cdktf.ImportableResource

Generates CDKTF code for importing a GoogleVertexAiFeaturestoreEntitytype resource upon running "cdktf plan <stack-name>".

func GoogleVertexAiFeaturestoreEntitytype_IsConstruct 

func GoogleVertexAiFeaturestoreEntitytype_IsConstruct(x interface{}) *bool

Checks if `x` is a construct.

Use this method instead of `instanceof` to properly detect `Construct` instances, even when the construct library is symlinked.

Explanation: in JavaScript, multiple copies of the `constructs` library on disk are seen as independent, completely different libraries. As a consequence, the class `Construct` in each copy of the `constructs` library is seen as a different class, and an instance of one class will not test as `instanceof` the other class. `npm install` will not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of the `constructs` library can be accidentally installed, and `instanceof` will behave unpredictably. It is safest to avoid using `instanceof`, and using this type-testing method instead.

Returns: true if `x` is an object created from a class which extends `Construct`.

func GoogleVertexAiFeaturestoreEntitytype_IsTerraformElement 

func GoogleVertexAiFeaturestoreEntitytype_IsTerraformElement(x interface{}) *bool

Experimental.

func GoogleVertexAiFeaturestoreEntitytype_IsTerraformResource 

func GoogleVertexAiFeaturestoreEntitytype_IsTerraformResource(x interface{}) *bool

Experimental.

func GoogleVertexAiFeaturestoreEntitytype_TfResourceType 

func GoogleVertexAiFeaturestoreEntitytype_TfResourceType() *string

func NewGoogleVertexAiFeaturestoreEntitytypeMonitoringConfigCategoricalThresholdConfigOutputReference_Override 

func NewGoogleVertexAiFeaturestoreEntitytypeMonitoringConfigCategoricalThresholdConfigOutputReference_Override(g GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigCategoricalThresholdConfigOutputReference, terraformResource cdktf.IInterpolatingParent, terraformAttribute *string)

func NewGoogleVertexAiFeaturestoreEntitytypeMonitoringConfigImportFeaturesAnalysisOutputReference_Override 

func NewGoogleVertexAiFeaturestoreEntitytypeMonitoringConfigImportFeaturesAnalysisOutputReference_Override(g GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigImportFeaturesAnalysisOutputReference, terraformResource cdktf.IInterpolatingParent, terraformAttribute *string)

func NewGoogleVertexAiFeaturestoreEntitytypeMonitoringConfigNumericalThresholdConfigOutputReference_Override 

func NewGoogleVertexAiFeaturestoreEntitytypeMonitoringConfigNumericalThresholdConfigOutputReference_Override(g GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigNumericalThresholdConfigOutputReference, terraformResource cdktf.IInterpolatingParent, terraformAttribute *string)

func NewGoogleVertexAiFeaturestoreEntitytypeMonitoringConfigOutputReference_Override 

func NewGoogleVertexAiFeaturestoreEntitytypeMonitoringConfigOutputReference_Override(g GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigOutputReference, terraformResource cdktf.IInterpolatingParent, terraformAttribute *string)

func NewGoogleVertexAiFeaturestoreEntitytypeMonitoringConfigSnapshotAnalysisOutputReference_Override 

func NewGoogleVertexAiFeaturestoreEntitytypeMonitoringConfigSnapshotAnalysisOutputReference_Override(g GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigSnapshotAnalysisOutputReference, terraformResource cdktf.IInterpolatingParent, terraformAttribute *string)

func NewGoogleVertexAiFeaturestoreEntitytypeTimeoutsOutputReference_Override 

func NewGoogleVertexAiFeaturestoreEntitytypeTimeoutsOutputReference_Override(g GoogleVertexAiFeaturestoreEntitytypeTimeoutsOutputReference, terraformResource cdktf.IInterpolatingParent, terraformAttribute *string)

func NewGoogleVertexAiFeaturestoreEntitytype_Override 

func NewGoogleVertexAiFeaturestoreEntitytype_Override(g GoogleVertexAiFeaturestoreEntitytype, scope constructs.Construct, id *string, config *GoogleVertexAiFeaturestoreEntitytypeConfig)

Create a new {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype google_vertex_ai_featurestore_entitytype} Resource.

Types

type GoogleVertexAiFeaturestoreEntitytype 

type GoogleVertexAiFeaturestoreEntitytype interface {
	cdktf.TerraformResource
	// Experimental.
	CdktfStack() cdktf.TerraformStack
	// Experimental.
	Connection() interface{}
	// Experimental.
	SetConnection(val interface{})
	// Experimental.
	ConstructNodeMetadata() *map[string]interface{}
	// Experimental.
	Count() interface{}
	// Experimental.
	SetCount(val interface{})
	CreateTime() *string
	// Experimental.
	DependsOn() *[]*string
	// Experimental.
	SetDependsOn(val *[]*string)
	Description() *string
	SetDescription(val *string)
	DescriptionInput() *string
	EffectiveLabels() cdktf.StringMap
	Etag() *string
	Featurestore() *string
	SetFeaturestore(val *string)
	FeaturestoreInput() *string
	// Experimental.
	ForEach() cdktf.ITerraformIterator
	// Experimental.
	SetForEach(val cdktf.ITerraformIterator)
	// Experimental.
	Fqn() *string
	// Experimental.
	FriendlyUniqueId() *string
	Id() *string
	SetId(val *string)
	IdInput() *string
	Labels() *map[string]*string
	SetLabels(val *map[string]*string)
	LabelsInput() *map[string]*string
	// Experimental.
	Lifecycle() *cdktf.TerraformResourceLifecycle
	// Experimental.
	SetLifecycle(val *cdktf.TerraformResourceLifecycle)
	MonitoringConfig() GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigOutputReference
	MonitoringConfigInput() *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfig
	Name() *string
	SetName(val *string)
	NameInput() *string
	// The tree node.
	Node() constructs.Node
	OfflineStorageTtlDays() *float64
	SetOfflineStorageTtlDays(val *float64)
	OfflineStorageTtlDaysInput() *float64
	// Experimental.
	Provider() cdktf.TerraformProvider
	// Experimental.
	SetProvider(val cdktf.TerraformProvider)
	// Experimental.
	Provisioners() *[]interface{}
	// Experimental.
	SetProvisioners(val *[]interface{})
	// Experimental.
	RawOverrides() interface{}
	Region() *string
	// Experimental.
	TerraformGeneratorMetadata() *cdktf.TerraformProviderGeneratorMetadata
	TerraformLabels() cdktf.StringMap
	// Experimental.
	TerraformMetaArguments() *map[string]interface{}
	// Experimental.
	TerraformResourceType() *string
	Timeouts() GoogleVertexAiFeaturestoreEntitytypeTimeoutsOutputReference
	TimeoutsInput() interface{}
	UpdateTime() *string
	// Adds a user defined moveTarget string to this resource to be later used in .moveTo(moveTarget) to resolve the location of the move.
	// Experimental.
	AddMoveTarget(moveTarget *string)
	// Experimental.
	AddOverride(path *string, value interface{})
	// Experimental.
	GetAnyMapAttribute(terraformAttribute *string) *map[string]interface{}
	// Experimental.
	GetBooleanAttribute(terraformAttribute *string) cdktf.IResolvable
	// Experimental.
	GetBooleanMapAttribute(terraformAttribute *string) *map[string]*bool
	// Experimental.
	GetListAttribute(terraformAttribute *string) *[]*string
	// Experimental.
	GetNumberAttribute(terraformAttribute *string) *float64
	// Experimental.
	GetNumberListAttribute(terraformAttribute *string) *[]*float64
	// Experimental.
	GetNumberMapAttribute(terraformAttribute *string) *map[string]*float64
	// Experimental.
	GetStringAttribute(terraformAttribute *string) *string
	// Experimental.
	GetStringMapAttribute(terraformAttribute *string) *map[string]*string
	// Experimental.
	ImportFrom(id *string, provider cdktf.TerraformProvider)
	// Experimental.
	InterpolationForAttribute(terraformAttribute *string) cdktf.IResolvable
	// Moves this resource to the target resource given by moveTarget.
	// Experimental.
	MoveTo(moveTarget *string, index interface{})
	// Overrides the auto-generated logical ID with a specific ID.
	// Experimental.
	OverrideLogicalId(newLogicalId *string)
	PutMonitoringConfig(value *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfig)
	PutTimeouts(value *GoogleVertexAiFeaturestoreEntitytypeTimeouts)
	ResetDescription()
	ResetId()
	ResetLabels()
	ResetMonitoringConfig()
	ResetName()
	ResetOfflineStorageTtlDays()
	// Resets a previously passed logical Id to use the auto-generated logical id again.
	// Experimental.
	ResetOverrideLogicalId()
	ResetTimeouts()
	SynthesizeAttributes() *map[string]interface{}
	// Experimental.
	ToMetadata() interface{}
	// Returns a string representation of this construct.
	ToString() *string
	// Adds this resource to the terraform JSON output.
	// Experimental.
	ToTerraform() interface{}
}

Represents a {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype google_vertex_ai_featurestore_entitytype}.

func NewGoogleVertexAiFeaturestoreEntitytype 

func NewGoogleVertexAiFeaturestoreEntitytype(scope constructs.Construct, id *string, config *GoogleVertexAiFeaturestoreEntitytypeConfig) GoogleVertexAiFeaturestoreEntitytype

Create a new {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype google_vertex_ai_featurestore_entitytype} Resource.

type GoogleVertexAiFeaturestoreEntitytypeConfig 

type GoogleVertexAiFeaturestoreEntitytypeConfig struct {
	// Experimental.
	Connection interface{} `field:"optional" json:"connection" yaml:"connection"`
	// Experimental.
	Count interface{} `field:"optional" json:"count" yaml:"count"`
	// Experimental.
	DependsOn *[]cdktf.ITerraformDependable `field:"optional" json:"dependsOn" yaml:"dependsOn"`
	// Experimental.
	ForEach cdktf.ITerraformIterator `field:"optional" json:"forEach" yaml:"forEach"`
	// Experimental.
	Lifecycle *cdktf.TerraformResourceLifecycle `field:"optional" json:"lifecycle" yaml:"lifecycle"`
	// Experimental.
	Provider cdktf.TerraformProvider `field:"optional" json:"provider" yaml:"provider"`
	// Experimental.
	Provisioners *[]interface{} `field:"optional" json:"provisioners" yaml:"provisioners"`
	// The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}.
	//
	// Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype#featurestore GoogleVertexAiFeaturestoreEntitytype#featurestore}
	Featurestore *string `field:"required" json:"featurestore" yaml:"featurestore"`
	// Optional. Description of the EntityType.
	//
	// Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype#description GoogleVertexAiFeaturestoreEntitytype#description}
	Description *string `field:"optional" json:"description" yaml:"description"`
	// Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype#id GoogleVertexAiFeaturestoreEntitytype#id}.
	//
	// Please be aware that the id field is automatically added to all resources in Terraform providers using a Terraform provider SDK version below 2.
	// If you experience problems setting this value it might not be settable. Please take a look at the provider documentation to ensure it should be settable.
	Id *string `field:"optional" json:"id" yaml:"id"`
	// A set of key/value label pairs to assign to this EntityType.
	//
	// **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
	// Please refer to the field 'effective_labels' for all of the labels present on the resource.
	//
	// Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype#labels GoogleVertexAiFeaturestoreEntitytype#labels}
	Labels *map[string]*string `field:"optional" json:"labels" yaml:"labels"`
	// monitoring_config block.
	//
	// Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype#monitoring_config GoogleVertexAiFeaturestoreEntitytype#monitoring_config}
	MonitoringConfig *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfig `field:"optional" json:"monitoringConfig" yaml:"monitoringConfig"`
	// The name of the EntityType.
	//
	// This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number.
	//
	// Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype#name GoogleVertexAiFeaturestoreEntitytype#name}
	Name *string `field:"optional" json:"name" yaml:"name"`
	// Config for data retention policy in offline storage.
	//
	// TTL in days for feature values that will be stored in offline storage. The Feature Store offline storage periodically removes obsolete feature values older than offlineStorageTtlDays since the feature generation time. If unset (or explicitly set to 0), default to 4000 days TTL.
	//
	// Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype#offline_storage_ttl_days GoogleVertexAiFeaturestoreEntitytype#offline_storage_ttl_days}
	OfflineStorageTtlDays *float64 `field:"optional" json:"offlineStorageTtlDays" yaml:"offlineStorageTtlDays"`
	// timeouts block.
	//
	// Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype#timeouts GoogleVertexAiFeaturestoreEntitytype#timeouts}
	Timeouts *GoogleVertexAiFeaturestoreEntitytypeTimeouts `field:"optional" json:"timeouts" yaml:"timeouts"`
}

type GoogleVertexAiFeaturestoreEntitytypeMonitoringConfig 

type GoogleVertexAiFeaturestoreEntitytypeMonitoringConfig struct {
	// categorical_threshold_config block.
	//
	// Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype#categorical_threshold_config GoogleVertexAiFeaturestoreEntitytype#categorical_threshold_config}
	CategoricalThresholdConfig *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigCategoricalThresholdConfig `field:"optional" json:"categoricalThresholdConfig" yaml:"categoricalThresholdConfig"`
	// import_features_analysis block.
	//
	// Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype#import_features_analysis GoogleVertexAiFeaturestoreEntitytype#import_features_analysis}
	ImportFeaturesAnalysis *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigImportFeaturesAnalysis `field:"optional" json:"importFeaturesAnalysis" yaml:"importFeaturesAnalysis"`
	// numerical_threshold_config block.
	//
	// Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype#numerical_threshold_config GoogleVertexAiFeaturestoreEntitytype#numerical_threshold_config}
	NumericalThresholdConfig *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigNumericalThresholdConfig `field:"optional" json:"numericalThresholdConfig" yaml:"numericalThresholdConfig"`
	// snapshot_analysis block.
	//
	// Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype#snapshot_analysis GoogleVertexAiFeaturestoreEntitytype#snapshot_analysis}
	SnapshotAnalysis *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigSnapshotAnalysis `field:"optional" json:"snapshotAnalysis" yaml:"snapshotAnalysis"`
}

type GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigCategoricalThresholdConfig 

type GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigCategoricalThresholdConfig struct {
	// Specify a threshold value that can trigger the alert.
	//
	// For categorical feature, the distribution distance is calculated by L-inifinity norm. Each feature must have a non-zero threshold if they need to be monitored. Otherwise no alert will be triggered for that feature. The default value is 0.3.
	//
	// Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype#value GoogleVertexAiFeaturestoreEntitytype#value}
	Value *float64 `field:"required" json:"value" yaml:"value"`
}

type GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigCategoricalThresholdConfigOutputReference 

type GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigCategoricalThresholdConfigOutputReference interface {
	cdktf.ComplexObject
	// the index of the complex object in a list.
	// Experimental.
	ComplexObjectIndex() interface{}
	// Experimental.
	SetComplexObjectIndex(val interface{})
	// set to true if this item is from inside a set and needs tolist() for accessing it set to "0" for single list items.
	// Experimental.
	ComplexObjectIsFromSet() *bool
	// Experimental.
	SetComplexObjectIsFromSet(val *bool)
	// The creation stack of this resolvable which will be appended to errors thrown during resolution.
	//
	// If this returns an empty array the stack will not be attached.
	// Experimental.
	CreationStack() *[]*string
	// Experimental.
	Fqn() *string
	InternalValue() *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigCategoricalThresholdConfig
	SetInternalValue(val *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigCategoricalThresholdConfig)
	// Experimental.
	TerraformAttribute() *string
	// Experimental.
	SetTerraformAttribute(val *string)
	// Experimental.
	TerraformResource() cdktf.IInterpolatingParent
	// Experimental.
	SetTerraformResource(val cdktf.IInterpolatingParent)
	Value() *float64
	SetValue(val *float64)
	ValueInput() *float64
	// Experimental.
	ComputeFqn() *string
	// Experimental.
	GetAnyMapAttribute(terraformAttribute *string) *map[string]interface{}
	// Experimental.
	GetBooleanAttribute(terraformAttribute *string) cdktf.IResolvable
	// Experimental.
	GetBooleanMapAttribute(terraformAttribute *string) *map[string]*bool
	// Experimental.
	GetListAttribute(terraformAttribute *string) *[]*string
	// Experimental.
	GetNumberAttribute(terraformAttribute *string) *float64
	// Experimental.
	GetNumberListAttribute(terraformAttribute *string) *[]*float64
	// Experimental.
	GetNumberMapAttribute(terraformAttribute *string) *map[string]*float64
	// Experimental.
	GetStringAttribute(terraformAttribute *string) *string
	// Experimental.
	GetStringMapAttribute(terraformAttribute *string) *map[string]*string
	// Experimental.
	InterpolationAsList() cdktf.IResolvable
	// Experimental.
	InterpolationForAttribute(property *string) cdktf.IResolvable
	// Produce the Token's value at resolution time.
	// Experimental.
	Resolve(_context cdktf.IResolveContext) interface{}
	// Return a string representation of this resolvable object.
	//
	// Returns a reversible string representation.
	// Experimental.
	ToString() *string
}

func NewGoogleVertexAiFeaturestoreEntitytypeMonitoringConfigCategoricalThresholdConfigOutputReference 

func NewGoogleVertexAiFeaturestoreEntitytypeMonitoringConfigCategoricalThresholdConfigOutputReference(terraformResource cdktf.IInterpolatingParent, terraformAttribute *string) GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigCategoricalThresholdConfigOutputReference

type GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigImportFeaturesAnalysis 

type GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigImportFeaturesAnalysis struct {
	// Defines the baseline to do anomaly detection for feature values imported by each [entityTypes.importFeatureValues][] operation. The value must be one of the values below: * LATEST_STATS: Choose the later one statistics generated by either most recent snapshot analysis or previous import features analysis. If non of them exists, skip anomaly detection and only generate a statistics. * MOST_RECENT_SNAPSHOT_STATS: Use the statistics generated by the most recent snapshot analysis if exists. * PREVIOUS_IMPORT_FEATURES_STATS: Use the statistics generated by the previous import features analysis if exists.
	//
	// Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype#anomaly_detection_baseline GoogleVertexAiFeaturestoreEntitytype#anomaly_detection_baseline}
	AnomalyDetectionBaseline *string `field:"optional" json:"anomalyDetectionBaseline" yaml:"anomalyDetectionBaseline"`
	// Whether to enable / disable / inherite default hebavior for import features analysis.
	//
	// The value must be one of the values below:
	// * DEFAULT: The default behavior of whether to enable the monitoring. EntityType-level config: disabled.
	// * ENABLED: Explicitly enables import features analysis. EntityType-level config: by default enables import features analysis for all Features under it.
	// * DISABLED: Explicitly disables import features analysis. EntityType-level config: by default disables import features analysis for all Features under it.
	//
	// Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype#state GoogleVertexAiFeaturestoreEntitytype#state}
	State *string `field:"optional" json:"state" yaml:"state"`
}

type GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigImportFeaturesAnalysisOutputReference 

type GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigImportFeaturesAnalysisOutputReference interface {
	cdktf.ComplexObject
	AnomalyDetectionBaseline() *string
	SetAnomalyDetectionBaseline(val *string)
	AnomalyDetectionBaselineInput() *string
	// the index of the complex object in a list.
	// Experimental.
	ComplexObjectIndex() interface{}
	// Experimental.
	SetComplexObjectIndex(val interface{})
	// set to true if this item is from inside a set and needs tolist() for accessing it set to "0" for single list items.
	// Experimental.
	ComplexObjectIsFromSet() *bool
	// Experimental.
	SetComplexObjectIsFromSet(val *bool)
	// The creation stack of this resolvable which will be appended to errors thrown during resolution.
	//
	// If this returns an empty array the stack will not be attached.
	// Experimental.
	CreationStack() *[]*string
	// Experimental.
	Fqn() *string
	InternalValue() *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigImportFeaturesAnalysis
	SetInternalValue(val *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigImportFeaturesAnalysis)
	State() *string
	SetState(val *string)
	StateInput() *string
	// Experimental.
	TerraformAttribute() *string
	// Experimental.
	SetTerraformAttribute(val *string)
	// Experimental.
	TerraformResource() cdktf.IInterpolatingParent
	// Experimental.
	SetTerraformResource(val cdktf.IInterpolatingParent)
	// Experimental.
	ComputeFqn() *string
	// Experimental.
	GetAnyMapAttribute(terraformAttribute *string) *map[string]interface{}
	// Experimental.
	GetBooleanAttribute(terraformAttribute *string) cdktf.IResolvable
	// Experimental.
	GetBooleanMapAttribute(terraformAttribute *string) *map[string]*bool
	// Experimental.
	GetListAttribute(terraformAttribute *string) *[]*string
	// Experimental.
	GetNumberAttribute(terraformAttribute *string) *float64
	// Experimental.
	GetNumberListAttribute(terraformAttribute *string) *[]*float64
	// Experimental.
	GetNumberMapAttribute(terraformAttribute *string) *map[string]*float64
	// Experimental.
	GetStringAttribute(terraformAttribute *string) *string
	// Experimental.
	GetStringMapAttribute(terraformAttribute *string) *map[string]*string
	// Experimental.
	InterpolationAsList() cdktf.IResolvable
	// Experimental.
	InterpolationForAttribute(property *string) cdktf.IResolvable
	ResetAnomalyDetectionBaseline()
	ResetState()
	// Produce the Token's value at resolution time.
	// Experimental.
	Resolve(_context cdktf.IResolveContext) interface{}
	// Return a string representation of this resolvable object.
	//
	// Returns a reversible string representation.
	// Experimental.
	ToString() *string
}

func NewGoogleVertexAiFeaturestoreEntitytypeMonitoringConfigImportFeaturesAnalysisOutputReference 

func NewGoogleVertexAiFeaturestoreEntitytypeMonitoringConfigImportFeaturesAnalysisOutputReference(terraformResource cdktf.IInterpolatingParent, terraformAttribute *string) GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigImportFeaturesAnalysisOutputReference

type GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigNumericalThresholdConfig 

type GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigNumericalThresholdConfig struct {
	// Specify a threshold value that can trigger the alert.
	//
	// For numerical feature, the distribution distance is calculated by Jensen–Shannon divergence. Each feature must have a non-zero threshold if they need to be monitored. Otherwise no alert will be triggered for that feature. The default value is 0.3.
	//
	// Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype#value GoogleVertexAiFeaturestoreEntitytype#value}
	Value *float64 `field:"required" json:"value" yaml:"value"`
}

type GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigNumericalThresholdConfigOutputReference 

type GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigNumericalThresholdConfigOutputReference interface {
	cdktf.ComplexObject
	// the index of the complex object in a list.
	// Experimental.
	ComplexObjectIndex() interface{}
	// Experimental.
	SetComplexObjectIndex(val interface{})
	// set to true if this item is from inside a set and needs tolist() for accessing it set to "0" for single list items.
	// Experimental.
	ComplexObjectIsFromSet() *bool
	// Experimental.
	SetComplexObjectIsFromSet(val *bool)
	// The creation stack of this resolvable which will be appended to errors thrown during resolution.
	//
	// If this returns an empty array the stack will not be attached.
	// Experimental.
	CreationStack() *[]*string
	// Experimental.
	Fqn() *string
	InternalValue() *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigNumericalThresholdConfig
	SetInternalValue(val *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigNumericalThresholdConfig)
	// Experimental.
	TerraformAttribute() *string
	// Experimental.
	SetTerraformAttribute(val *string)
	// Experimental.
	TerraformResource() cdktf.IInterpolatingParent
	// Experimental.
	SetTerraformResource(val cdktf.IInterpolatingParent)
	Value() *float64
	SetValue(val *float64)
	ValueInput() *float64
	// Experimental.
	ComputeFqn() *string
	// Experimental.
	GetAnyMapAttribute(terraformAttribute *string) *map[string]interface{}
	// Experimental.
	GetBooleanAttribute(terraformAttribute *string) cdktf.IResolvable
	// Experimental.
	GetBooleanMapAttribute(terraformAttribute *string) *map[string]*bool
	// Experimental.
	GetListAttribute(terraformAttribute *string) *[]*string
	// Experimental.
	GetNumberAttribute(terraformAttribute *string) *float64
	// Experimental.
	GetNumberListAttribute(terraformAttribute *string) *[]*float64
	// Experimental.
	GetNumberMapAttribute(terraformAttribute *string) *map[string]*float64
	// Experimental.
	GetStringAttribute(terraformAttribute *string) *string
	// Experimental.
	GetStringMapAttribute(terraformAttribute *string) *map[string]*string
	// Experimental.
	InterpolationAsList() cdktf.IResolvable
	// Experimental.
	InterpolationForAttribute(property *string) cdktf.IResolvable
	// Produce the Token's value at resolution time.
	// Experimental.
	Resolve(_context cdktf.IResolveContext) interface{}
	// Return a string representation of this resolvable object.
	//
	// Returns a reversible string representation.
	// Experimental.
	ToString() *string
}

func NewGoogleVertexAiFeaturestoreEntitytypeMonitoringConfigNumericalThresholdConfigOutputReference 

func NewGoogleVertexAiFeaturestoreEntitytypeMonitoringConfigNumericalThresholdConfigOutputReference(terraformResource cdktf.IInterpolatingParent, terraformAttribute *string) GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigNumericalThresholdConfigOutputReference

type GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigOutputReference 

type GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigOutputReference interface {
	cdktf.ComplexObject
	CategoricalThresholdConfig() GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigCategoricalThresholdConfigOutputReference
	CategoricalThresholdConfigInput() *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigCategoricalThresholdConfig
	// the index of the complex object in a list.
	// Experimental.
	ComplexObjectIndex() interface{}
	// Experimental.
	SetComplexObjectIndex(val interface{})
	// set to true if this item is from inside a set and needs tolist() for accessing it set to "0" for single list items.
	// Experimental.
	ComplexObjectIsFromSet() *bool
	// Experimental.
	SetComplexObjectIsFromSet(val *bool)
	// The creation stack of this resolvable which will be appended to errors thrown during resolution.
	//
	// If this returns an empty array the stack will not be attached.
	// Experimental.
	CreationStack() *[]*string
	// Experimental.
	Fqn() *string
	ImportFeaturesAnalysis() GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigImportFeaturesAnalysisOutputReference
	ImportFeaturesAnalysisInput() *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigImportFeaturesAnalysis
	InternalValue() *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfig
	SetInternalValue(val *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfig)
	NumericalThresholdConfig() GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigNumericalThresholdConfigOutputReference
	NumericalThresholdConfigInput() *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigNumericalThresholdConfig
	SnapshotAnalysis() GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigSnapshotAnalysisOutputReference
	SnapshotAnalysisInput() *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigSnapshotAnalysis
	// Experimental.
	TerraformAttribute() *string
	// Experimental.
	SetTerraformAttribute(val *string)
	// Experimental.
	TerraformResource() cdktf.IInterpolatingParent
	// Experimental.
	SetTerraformResource(val cdktf.IInterpolatingParent)
	// Experimental.
	ComputeFqn() *string
	// Experimental.
	GetAnyMapAttribute(terraformAttribute *string) *map[string]interface{}
	// Experimental.
	GetBooleanAttribute(terraformAttribute *string) cdktf.IResolvable
	// Experimental.
	GetBooleanMapAttribute(terraformAttribute *string) *map[string]*bool
	// Experimental.
	GetListAttribute(terraformAttribute *string) *[]*string
	// Experimental.
	GetNumberAttribute(terraformAttribute *string) *float64
	// Experimental.
	GetNumberListAttribute(terraformAttribute *string) *[]*float64
	// Experimental.
	GetNumberMapAttribute(terraformAttribute *string) *map[string]*float64
	// Experimental.
	GetStringAttribute(terraformAttribute *string) *string
	// Experimental.
	GetStringMapAttribute(terraformAttribute *string) *map[string]*string
	// Experimental.
	InterpolationAsList() cdktf.IResolvable
	// Experimental.
	InterpolationForAttribute(property *string) cdktf.IResolvable
	PutCategoricalThresholdConfig(value *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigCategoricalThresholdConfig)
	PutImportFeaturesAnalysis(value *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigImportFeaturesAnalysis)
	PutNumericalThresholdConfig(value *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigNumericalThresholdConfig)
	PutSnapshotAnalysis(value *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigSnapshotAnalysis)
	ResetCategoricalThresholdConfig()
	ResetImportFeaturesAnalysis()
	ResetNumericalThresholdConfig()
	ResetSnapshotAnalysis()
	// Produce the Token's value at resolution time.
	// Experimental.
	Resolve(_context cdktf.IResolveContext) interface{}
	// Return a string representation of this resolvable object.
	//
	// Returns a reversible string representation.
	// Experimental.
	ToString() *string
}

func NewGoogleVertexAiFeaturestoreEntitytypeMonitoringConfigOutputReference 

func NewGoogleVertexAiFeaturestoreEntitytypeMonitoringConfigOutputReference(terraformResource cdktf.IInterpolatingParent, terraformAttribute *string) GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigOutputReference

type GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigSnapshotAnalysis 

type GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigSnapshotAnalysis struct {
	// The monitoring schedule for snapshot analysis.
	//
	// For EntityType-level config: unset / disabled = true indicates disabled by default for Features under it; otherwise by default enable snapshot analysis monitoring with monitoringInterval for Features under it.
	//
	// Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype#disabled GoogleVertexAiFeaturestoreEntitytype#disabled}
	Disabled interface{} `field:"optional" json:"disabled" yaml:"disabled"`
	// Configuration of the snapshot analysis based monitoring pipeline running interval. The value is rolled up to full day.
	//
	// A duration in seconds with up to nine fractional digits, terminated by 's'. Example: "3.5s".
	//
	// Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype#monitoring_interval GoogleVertexAiFeaturestoreEntitytype#monitoring_interval}
	MonitoringInterval *string `field:"optional" json:"monitoringInterval" yaml:"monitoringInterval"`
	// Configuration of the snapshot analysis based monitoring pipeline running interval.
	//
	// The value indicates number of days. The default value is 1.
	// If both FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days and [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval][] are set when creating/updating EntityTypes/Features, FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days will be used.
	//
	// Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype#monitoring_interval_days GoogleVertexAiFeaturestoreEntitytype#monitoring_interval_days}
	MonitoringIntervalDays *float64 `field:"optional" json:"monitoringIntervalDays" yaml:"monitoringIntervalDays"`
	// Customized export features time window for snapshot analysis.
	//
	// Unit is one day. The default value is 21 days. Minimum value is 1 day. Maximum value is 4000 days.
	//
	// Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype#staleness_days GoogleVertexAiFeaturestoreEntitytype#staleness_days}
	StalenessDays *float64 `field:"optional" json:"stalenessDays" yaml:"stalenessDays"`
}

type GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigSnapshotAnalysisOutputReference 

type GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigSnapshotAnalysisOutputReference interface {
	cdktf.ComplexObject
	// the index of the complex object in a list.
	// Experimental.
	ComplexObjectIndex() interface{}
	// Experimental.
	SetComplexObjectIndex(val interface{})
	// set to true if this item is from inside a set and needs tolist() for accessing it set to "0" for single list items.
	// Experimental.
	ComplexObjectIsFromSet() *bool
	// Experimental.
	SetComplexObjectIsFromSet(val *bool)
	// The creation stack of this resolvable which will be appended to errors thrown during resolution.
	//
	// If this returns an empty array the stack will not be attached.
	// Experimental.
	CreationStack() *[]*string
	Disabled() interface{}
	SetDisabled(val interface{})
	DisabledInput() interface{}
	// Experimental.
	Fqn() *string
	InternalValue() *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigSnapshotAnalysis
	SetInternalValue(val *GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigSnapshotAnalysis)
	MonitoringInterval() *string
	SetMonitoringInterval(val *string)
	MonitoringIntervalDays() *float64
	SetMonitoringIntervalDays(val *float64)
	MonitoringIntervalDaysInput() *float64
	MonitoringIntervalInput() *string
	StalenessDays() *float64
	SetStalenessDays(val *float64)
	StalenessDaysInput() *float64
	// Experimental.
	TerraformAttribute() *string
	// Experimental.
	SetTerraformAttribute(val *string)
	// Experimental.
	TerraformResource() cdktf.IInterpolatingParent
	// Experimental.
	SetTerraformResource(val cdktf.IInterpolatingParent)
	// Experimental.
	ComputeFqn() *string
	// Experimental.
	GetAnyMapAttribute(terraformAttribute *string) *map[string]interface{}
	// Experimental.
	GetBooleanAttribute(terraformAttribute *string) cdktf.IResolvable
	// Experimental.
	GetBooleanMapAttribute(terraformAttribute *string) *map[string]*bool
	// Experimental.
	GetListAttribute(terraformAttribute *string) *[]*string
	// Experimental.
	GetNumberAttribute(terraformAttribute *string) *float64
	// Experimental.
	GetNumberListAttribute(terraformAttribute *string) *[]*float64
	// Experimental.
	GetNumberMapAttribute(terraformAttribute *string) *map[string]*float64
	// Experimental.
	GetStringAttribute(terraformAttribute *string) *string
	// Experimental.
	GetStringMapAttribute(terraformAttribute *string) *map[string]*string
	// Experimental.
	InterpolationAsList() cdktf.IResolvable
	// Experimental.
	InterpolationForAttribute(property *string) cdktf.IResolvable
	ResetDisabled()
	ResetMonitoringInterval()
	ResetMonitoringIntervalDays()
	ResetStalenessDays()
	// Produce the Token's value at resolution time.
	// Experimental.
	Resolve(_context cdktf.IResolveContext) interface{}
	// Return a string representation of this resolvable object.
	//
	// Returns a reversible string representation.
	// Experimental.
	ToString() *string
}

func NewGoogleVertexAiFeaturestoreEntitytypeMonitoringConfigSnapshotAnalysisOutputReference 

func NewGoogleVertexAiFeaturestoreEntitytypeMonitoringConfigSnapshotAnalysisOutputReference(terraformResource cdktf.IInterpolatingParent, terraformAttribute *string) GoogleVertexAiFeaturestoreEntitytypeMonitoringConfigSnapshotAnalysisOutputReference

type GoogleVertexAiFeaturestoreEntitytypeTimeouts 

type GoogleVertexAiFeaturestoreEntitytypeTimeouts struct {
	// Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype#create GoogleVertexAiFeaturestoreEntitytype#create}.
	Create *string `field:"optional" json:"create" yaml:"create"`
	// Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype#delete GoogleVertexAiFeaturestoreEntitytype#delete}.
	Delete *string `field:"optional" json:"delete" yaml:"delete"`
	// Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google-beta/5.4.0/docs/resources/google_vertex_ai_featurestore_entitytype#update GoogleVertexAiFeaturestoreEntitytype#update}.
	Update *string `field:"optional" json:"update" yaml:"update"`
}

type GoogleVertexAiFeaturestoreEntitytypeTimeoutsOutputReference 

type GoogleVertexAiFeaturestoreEntitytypeTimeoutsOutputReference interface {
	cdktf.ComplexObject
	// the index of the complex object in a list.
	// Experimental.
	ComplexObjectIndex() interface{}
	// Experimental.
	SetComplexObjectIndex(val interface{})
	// set to true if this item is from inside a set and needs tolist() for accessing it set to "0" for single list items.
	// Experimental.
	ComplexObjectIsFromSet() *bool
	// Experimental.
	SetComplexObjectIsFromSet(val *bool)
	Create() *string
	SetCreate(val *string)
	CreateInput() *string
	// The creation stack of this resolvable which will be appended to errors thrown during resolution.
	//
	// If this returns an empty array the stack will not be attached.
	// Experimental.
	CreationStack() *[]*string
	Delete() *string
	SetDelete(val *string)
	DeleteInput() *string
	// Experimental.
	Fqn() *string
	InternalValue() interface{}
	SetInternalValue(val interface{})
	// Experimental.
	TerraformAttribute() *string
	// Experimental.
	SetTerraformAttribute(val *string)
	// Experimental.
	TerraformResource() cdktf.IInterpolatingParent
	// Experimental.
	SetTerraformResource(val cdktf.IInterpolatingParent)
	Update() *string
	SetUpdate(val *string)
	UpdateInput() *string
	// Experimental.
	ComputeFqn() *string
	// Experimental.
	GetAnyMapAttribute(terraformAttribute *string) *map[string]interface{}
	// Experimental.
	GetBooleanAttribute(terraformAttribute *string) cdktf.IResolvable
	// Experimental.
	GetBooleanMapAttribute(terraformAttribute *string) *map[string]*bool
	// Experimental.
	GetListAttribute(terraformAttribute *string) *[]*string
	// Experimental.
	GetNumberAttribute(terraformAttribute *string) *float64
	// Experimental.
	GetNumberListAttribute(terraformAttribute *string) *[]*float64
	// Experimental.
	GetNumberMapAttribute(terraformAttribute *string) *map[string]*float64
	// Experimental.
	GetStringAttribute(terraformAttribute *string) *string
	// Experimental.
	GetStringMapAttribute(terraformAttribute *string) *map[string]*string
	// Experimental.
	InterpolationAsList() cdktf.IResolvable
	// Experimental.
	InterpolationForAttribute(property *string) cdktf.IResolvable
	ResetCreate()
	ResetDelete()
	ResetUpdate()
	// Produce the Token's value at resolution time.
	// Experimental.
	Resolve(_context cdktf.IResolveContext) interface{}
	// Return a string representation of this resolvable object.
	//
	// Returns a reversible string representation.
	// Experimental.
	ToString() *string
}

func NewGoogleVertexAiFeaturestoreEntitytypeTimeoutsOutputReference 

func NewGoogleVertexAiFeaturestoreEntitytypeTimeoutsOutputReference(terraformResource cdktf.IInterpolatingParent, terraformAttribute *string) GoogleVertexAiFeaturestoreEntitytypeTimeoutsOutputReference

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