cleanroomsml

package
v0.106.0 Latest Latest
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This package is not in the latest version of its module.

 Go to latest Published: May 20, 2024 License: Apache-2.0 Imports: 8 Imported by: 0

Documentation

Index

Constants

View Source 
const (
	TrainingDatasetColumnTypeUserId             = TrainingDatasetColumnType("USER_ID")
	TrainingDatasetColumnTypeItemId             = TrainingDatasetColumnType("ITEM_ID")
	TrainingDatasetColumnTypeTimestamp          = TrainingDatasetColumnType("TIMESTAMP")
	TrainingDatasetColumnTypeCategoricalFeature = TrainingDatasetColumnType("CATEGORICAL_FEATURE")
	TrainingDatasetColumnTypeNumericalFeature   = TrainingDatasetColumnType("NUMERICAL_FEATURE")
)
View Source 
const (
	TrainingDatasetDatasetTypeInteractions = TrainingDatasetDatasetType("INTERACTIONS")
)
View Source 
const (
	TrainingDatasetStatusActive = TrainingDatasetStatus("ACTIVE")
)

Variables

This section is empty.

Functions

This section is empty.

Types

type LookupTrainingDatasetArgs 

type LookupTrainingDatasetArgs struct {
	// The Amazon Resource Name (ARN) of the training dataset.
	TrainingDatasetArn string `pulumi:"trainingDatasetArn"`
}

type LookupTrainingDatasetOutputArgs 

type LookupTrainingDatasetOutputArgs struct {
	// The Amazon Resource Name (ARN) of the training dataset.
	TrainingDatasetArn pulumi.StringInput `pulumi:"trainingDatasetArn"`
}

func (LookupTrainingDatasetOutputArgs) ElementType 

func (LookupTrainingDatasetOutputArgs) ElementType() reflect.Type

type LookupTrainingDatasetResult 

type LookupTrainingDatasetResult struct {
	// The status of the training dataset.
	Status *TrainingDatasetStatus `pulumi:"status"`
	// An arbitrary set of tags (key-value pairs) for this cleanrooms-ml training dataset.
	Tags []aws.Tag `pulumi:"tags"`
	// The Amazon Resource Name (ARN) of the training dataset.
	TrainingDatasetArn *string `pulumi:"trainingDatasetArn"`
}

func LookupTrainingDataset 

func LookupTrainingDataset(ctx *pulumi.Context, args *LookupTrainingDatasetArgs, opts ...pulumi.InvokeOption) (*LookupTrainingDatasetResult, error)

Definition of AWS::CleanRoomsML::TrainingDataset Resource Type

type LookupTrainingDatasetResultOutput 

type LookupTrainingDatasetResultOutput struct{ *pulumi.OutputState }

func LookupTrainingDatasetOutput 

func LookupTrainingDatasetOutput(ctx *pulumi.Context, args LookupTrainingDatasetOutputArgs, opts ...pulumi.InvokeOption) LookupTrainingDatasetResultOutput

func (LookupTrainingDatasetResultOutput) ElementType 

func (LookupTrainingDatasetResultOutput) ElementType() reflect.Type

func (LookupTrainingDatasetResultOutput) Status 

func (o LookupTrainingDatasetResultOutput) Status() TrainingDatasetStatusPtrOutput

The status of the training dataset.

func (LookupTrainingDatasetResultOutput) Tags 

func (o LookupTrainingDatasetResultOutput) Tags() aws.TagArrayOutput

An arbitrary set of tags (key-value pairs) for this cleanrooms-ml training dataset.

func (LookupTrainingDatasetResultOutput) ToLookupTrainingDatasetResultOutput 

func (o LookupTrainingDatasetResultOutput) ToLookupTrainingDatasetResultOutput() LookupTrainingDatasetResultOutput

func (LookupTrainingDatasetResultOutput) ToLookupTrainingDatasetResultOutputWithContext 

func (o LookupTrainingDatasetResultOutput) ToLookupTrainingDatasetResultOutputWithContext(ctx context.Context) LookupTrainingDatasetResultOutput

func (LookupTrainingDatasetResultOutput) TrainingDatasetArn 

func (o LookupTrainingDatasetResultOutput) TrainingDatasetArn() pulumi.StringPtrOutput

The Amazon Resource Name (ARN) of the training dataset.

type TrainingDataset 

type TrainingDataset struct {
	pulumi.CustomResourceState

	// The description of the training dataset.
	Description pulumi.StringPtrOutput `pulumi:"description"`
	// The name of the training dataset.
	Name pulumi.StringOutput `pulumi:"name"`
	// The ARN of the IAM role that Clean Rooms ML can assume to read the data referred to in the `dataSource` field of each dataset.
	//
	// Passing a role across accounts is not allowed. If you pass a role that isn't in your account, you get an `AccessDeniedException` error.
	RoleArn pulumi.StringOutput `pulumi:"roleArn"`
	// The status of the training dataset.
	Status TrainingDatasetStatusOutput `pulumi:"status"`
	// An arbitrary set of tags (key-value pairs) for this cleanrooms-ml training dataset.
	Tags aws.TagArrayOutput `pulumi:"tags"`
	// An array of information that lists the Dataset objects, which specifies the dataset type and details on its location and schema. You must provide a role that has read access to these tables.
	TrainingData TrainingDatasetDatasetArrayOutput `pulumi:"trainingData"`
	// The Amazon Resource Name (ARN) of the training dataset.
	TrainingDatasetArn pulumi.StringOutput `pulumi:"trainingDatasetArn"`
}

Definition of AWS::CleanRoomsML::TrainingDataset Resource Type

func GetTrainingDataset 

func GetTrainingDataset(ctx *pulumi.Context,
	name string, id pulumi.IDInput, state *TrainingDatasetState, opts ...pulumi.ResourceOption) (*TrainingDataset, error)

GetTrainingDataset gets an existing TrainingDataset resource's state with the given name, ID, and optional state properties that are used to uniquely qualify the lookup (nil if not required).

func NewTrainingDataset 

func NewTrainingDataset(ctx *pulumi.Context,
	name string, args *TrainingDatasetArgs, opts ...pulumi.ResourceOption) (*TrainingDataset, error)

NewTrainingDataset registers a new resource with the given unique name, arguments, and options.

func (*TrainingDataset) ElementType 

func (*TrainingDataset) ElementType() reflect.Type

func (*TrainingDataset) ToTrainingDatasetOutput 

func (i *TrainingDataset) ToTrainingDatasetOutput() TrainingDatasetOutput

func (*TrainingDataset) ToTrainingDatasetOutputWithContext 

func (i *TrainingDataset) ToTrainingDatasetOutputWithContext(ctx context.Context) TrainingDatasetOutput

type TrainingDatasetArgs 

type TrainingDatasetArgs struct {
	// The description of the training dataset.
	Description pulumi.StringPtrInput
	// The name of the training dataset.
	Name pulumi.StringPtrInput
	// The ARN of the IAM role that Clean Rooms ML can assume to read the data referred to in the `dataSource` field of each dataset.
	//
	// Passing a role across accounts is not allowed. If you pass a role that isn't in your account, you get an `AccessDeniedException` error.
	RoleArn pulumi.StringInput
	// An arbitrary set of tags (key-value pairs) for this cleanrooms-ml training dataset.
	Tags aws.TagArrayInput
	// An array of information that lists the Dataset objects, which specifies the dataset type and details on its location and schema. You must provide a role that has read access to these tables.
	TrainingData TrainingDatasetDatasetArrayInput
}

The set of arguments for constructing a TrainingDataset resource.

func (TrainingDatasetArgs) ElementType 

func (TrainingDatasetArgs) ElementType() reflect.Type

type TrainingDatasetColumnSchema 

type TrainingDatasetColumnSchema struct {
	// The name of a column.
	ColumnName string `pulumi:"columnName"`
	// The data type of column.
	ColumnTypes []TrainingDatasetColumnType `pulumi:"columnTypes"`
}

type TrainingDatasetColumnSchemaArgs 

type TrainingDatasetColumnSchemaArgs struct {
	// The name of a column.
	ColumnName pulumi.StringInput `pulumi:"columnName"`
	// The data type of column.
	ColumnTypes TrainingDatasetColumnTypeArrayInput `pulumi:"columnTypes"`
}

func (TrainingDatasetColumnSchemaArgs) ElementType 

func (TrainingDatasetColumnSchemaArgs) ElementType() reflect.Type

func (TrainingDatasetColumnSchemaArgs) ToTrainingDatasetColumnSchemaOutput 

func (i TrainingDatasetColumnSchemaArgs) ToTrainingDatasetColumnSchemaOutput() TrainingDatasetColumnSchemaOutput

func (TrainingDatasetColumnSchemaArgs) ToTrainingDatasetColumnSchemaOutputWithContext 

func (i TrainingDatasetColumnSchemaArgs) ToTrainingDatasetColumnSchemaOutputWithContext(ctx context.Context) TrainingDatasetColumnSchemaOutput

type TrainingDatasetColumnSchemaArray 

type TrainingDatasetColumnSchemaArray []TrainingDatasetColumnSchemaInput

func (TrainingDatasetColumnSchemaArray) ElementType 

func (TrainingDatasetColumnSchemaArray) ElementType() reflect.Type

func (TrainingDatasetColumnSchemaArray) ToTrainingDatasetColumnSchemaArrayOutput 

func (i TrainingDatasetColumnSchemaArray) ToTrainingDatasetColumnSchemaArrayOutput() TrainingDatasetColumnSchemaArrayOutput

func (TrainingDatasetColumnSchemaArray) ToTrainingDatasetColumnSchemaArrayOutputWithContext 

func (i TrainingDatasetColumnSchemaArray) ToTrainingDatasetColumnSchemaArrayOutputWithContext(ctx context.Context) TrainingDatasetColumnSchemaArrayOutput

type TrainingDatasetColumnSchemaArrayInput 

type TrainingDatasetColumnSchemaArrayInput interface {
	pulumi.Input

	ToTrainingDatasetColumnSchemaArrayOutput() TrainingDatasetColumnSchemaArrayOutput
	ToTrainingDatasetColumnSchemaArrayOutputWithContext(context.Context) TrainingDatasetColumnSchemaArrayOutput
}

TrainingDatasetColumnSchemaArrayInput is an input type that accepts TrainingDatasetColumnSchemaArray and TrainingDatasetColumnSchemaArrayOutput values. You can construct a concrete instance of `TrainingDatasetColumnSchemaArrayInput` via: 

TrainingDatasetColumnSchemaArray{ TrainingDatasetColumnSchemaArgs{...} }

type TrainingDatasetColumnSchemaArrayOutput 

type TrainingDatasetColumnSchemaArrayOutput struct{ *pulumi.OutputState }

func (TrainingDatasetColumnSchemaArrayOutput) ElementType 

func (TrainingDatasetColumnSchemaArrayOutput) ElementType() reflect.Type

func (TrainingDatasetColumnSchemaArrayOutput) Index 

func (o TrainingDatasetColumnSchemaArrayOutput) Index(i pulumi.IntInput) TrainingDatasetColumnSchemaOutput

func (TrainingDatasetColumnSchemaArrayOutput) ToTrainingDatasetColumnSchemaArrayOutput 

func (o TrainingDatasetColumnSchemaArrayOutput) ToTrainingDatasetColumnSchemaArrayOutput() TrainingDatasetColumnSchemaArrayOutput

func (TrainingDatasetColumnSchemaArrayOutput) ToTrainingDatasetColumnSchemaArrayOutputWithContext 

func (o TrainingDatasetColumnSchemaArrayOutput) ToTrainingDatasetColumnSchemaArrayOutputWithContext(ctx context.Context) TrainingDatasetColumnSchemaArrayOutput

type TrainingDatasetColumnSchemaInput 

type TrainingDatasetColumnSchemaInput interface {
	pulumi.Input

	ToTrainingDatasetColumnSchemaOutput() TrainingDatasetColumnSchemaOutput
	ToTrainingDatasetColumnSchemaOutputWithContext(context.Context) TrainingDatasetColumnSchemaOutput
}

TrainingDatasetColumnSchemaInput is an input type that accepts TrainingDatasetColumnSchemaArgs and TrainingDatasetColumnSchemaOutput values. You can construct a concrete instance of `TrainingDatasetColumnSchemaInput` via: 

TrainingDatasetColumnSchemaArgs{...}

type TrainingDatasetColumnSchemaOutput 

type TrainingDatasetColumnSchemaOutput struct{ *pulumi.OutputState }

func (TrainingDatasetColumnSchemaOutput) ColumnName 

func (o TrainingDatasetColumnSchemaOutput) ColumnName() pulumi.StringOutput

The name of a column.

func (TrainingDatasetColumnSchemaOutput) ColumnTypes 

func (o TrainingDatasetColumnSchemaOutput) ColumnTypes() TrainingDatasetColumnTypeArrayOutput

The data type of column.

func (TrainingDatasetColumnSchemaOutput) ElementType 

func (TrainingDatasetColumnSchemaOutput) ElementType() reflect.Type

func (TrainingDatasetColumnSchemaOutput) ToTrainingDatasetColumnSchemaOutput 

func (o TrainingDatasetColumnSchemaOutput) ToTrainingDatasetColumnSchemaOutput() TrainingDatasetColumnSchemaOutput

func (TrainingDatasetColumnSchemaOutput) ToTrainingDatasetColumnSchemaOutputWithContext 

func (o TrainingDatasetColumnSchemaOutput) ToTrainingDatasetColumnSchemaOutputWithContext(ctx context.Context) TrainingDatasetColumnSchemaOutput

type TrainingDatasetColumnType 

type TrainingDatasetColumnType string

func (TrainingDatasetColumnType) ElementType 

func (TrainingDatasetColumnType) ElementType() reflect.Type

func (TrainingDatasetColumnType) ToStringOutput 

func (e TrainingDatasetColumnType) ToStringOutput() pulumi.StringOutput

func (TrainingDatasetColumnType) ToStringOutputWithContext 

func (e TrainingDatasetColumnType) ToStringOutputWithContext(ctx context.Context) pulumi.StringOutput

func (TrainingDatasetColumnType) ToStringPtrOutput 

func (e TrainingDatasetColumnType) ToStringPtrOutput() pulumi.StringPtrOutput

func (TrainingDatasetColumnType) ToStringPtrOutputWithContext 

func (e TrainingDatasetColumnType) ToStringPtrOutputWithContext(ctx context.Context) pulumi.StringPtrOutput

func (TrainingDatasetColumnType) ToTrainingDatasetColumnTypeOutput 

func (e TrainingDatasetColumnType) ToTrainingDatasetColumnTypeOutput() TrainingDatasetColumnTypeOutput

func (TrainingDatasetColumnType) ToTrainingDatasetColumnTypeOutputWithContext 

func (e TrainingDatasetColumnType) ToTrainingDatasetColumnTypeOutputWithContext(ctx context.Context) TrainingDatasetColumnTypeOutput

func (TrainingDatasetColumnType) ToTrainingDatasetColumnTypePtrOutput 

func (e TrainingDatasetColumnType) ToTrainingDatasetColumnTypePtrOutput() TrainingDatasetColumnTypePtrOutput

func (TrainingDatasetColumnType) ToTrainingDatasetColumnTypePtrOutputWithContext 

func (e TrainingDatasetColumnType) ToTrainingDatasetColumnTypePtrOutputWithContext(ctx context.Context) TrainingDatasetColumnTypePtrOutput

type TrainingDatasetColumnTypeArray 

type TrainingDatasetColumnTypeArray []TrainingDatasetColumnType

func (TrainingDatasetColumnTypeArray) ElementType 

func (TrainingDatasetColumnTypeArray) ElementType() reflect.Type

func (TrainingDatasetColumnTypeArray) ToTrainingDatasetColumnTypeArrayOutput 

func (i TrainingDatasetColumnTypeArray) ToTrainingDatasetColumnTypeArrayOutput() TrainingDatasetColumnTypeArrayOutput

func (TrainingDatasetColumnTypeArray) ToTrainingDatasetColumnTypeArrayOutputWithContext 

func (i TrainingDatasetColumnTypeArray) ToTrainingDatasetColumnTypeArrayOutputWithContext(ctx context.Context) TrainingDatasetColumnTypeArrayOutput

type TrainingDatasetColumnTypeArrayInput 

type TrainingDatasetColumnTypeArrayInput interface {
	pulumi.Input

	ToTrainingDatasetColumnTypeArrayOutput() TrainingDatasetColumnTypeArrayOutput
	ToTrainingDatasetColumnTypeArrayOutputWithContext(context.Context) TrainingDatasetColumnTypeArrayOutput
}

TrainingDatasetColumnTypeArrayInput is an input type that accepts TrainingDatasetColumnTypeArray and TrainingDatasetColumnTypeArrayOutput values. You can construct a concrete instance of `TrainingDatasetColumnTypeArrayInput` via: 

TrainingDatasetColumnTypeArray{ TrainingDatasetColumnTypeArgs{...} }

type TrainingDatasetColumnTypeArrayOutput 

type TrainingDatasetColumnTypeArrayOutput struct{ *pulumi.OutputState }

func (TrainingDatasetColumnTypeArrayOutput) ElementType 

func (TrainingDatasetColumnTypeArrayOutput) ElementType() reflect.Type

func (TrainingDatasetColumnTypeArrayOutput) Index 

func (o TrainingDatasetColumnTypeArrayOutput) Index(i pulumi.IntInput) TrainingDatasetColumnTypeOutput

func (TrainingDatasetColumnTypeArrayOutput) ToTrainingDatasetColumnTypeArrayOutput 

func (o TrainingDatasetColumnTypeArrayOutput) ToTrainingDatasetColumnTypeArrayOutput() TrainingDatasetColumnTypeArrayOutput

func (TrainingDatasetColumnTypeArrayOutput) ToTrainingDatasetColumnTypeArrayOutputWithContext 

func (o TrainingDatasetColumnTypeArrayOutput) ToTrainingDatasetColumnTypeArrayOutputWithContext(ctx context.Context) TrainingDatasetColumnTypeArrayOutput

type TrainingDatasetColumnTypeInput 

type TrainingDatasetColumnTypeInput interface {
	pulumi.Input

	ToTrainingDatasetColumnTypeOutput() TrainingDatasetColumnTypeOutput
	ToTrainingDatasetColumnTypeOutputWithContext(context.Context) TrainingDatasetColumnTypeOutput
}

TrainingDatasetColumnTypeInput is an input type that accepts values of the TrainingDatasetColumnType enum A concrete instance of `TrainingDatasetColumnTypeInput` can be one of the following: 

TrainingDatasetColumnTypeUserId
TrainingDatasetColumnTypeItemId
TrainingDatasetColumnTypeTimestamp
TrainingDatasetColumnTypeCategoricalFeature
TrainingDatasetColumnTypeNumericalFeature

type TrainingDatasetColumnTypeOutput 

type TrainingDatasetColumnTypeOutput struct{ *pulumi.OutputState }

func (TrainingDatasetColumnTypeOutput) ElementType 

func (TrainingDatasetColumnTypeOutput) ElementType() reflect.Type

func (TrainingDatasetColumnTypeOutput) ToStringOutput 

func (o TrainingDatasetColumnTypeOutput) ToStringOutput() pulumi.StringOutput

func (TrainingDatasetColumnTypeOutput) ToStringOutputWithContext 

func (o TrainingDatasetColumnTypeOutput) ToStringOutputWithContext(ctx context.Context) pulumi.StringOutput

func (TrainingDatasetColumnTypeOutput) ToStringPtrOutput 

func (o TrainingDatasetColumnTypeOutput) ToStringPtrOutput() pulumi.StringPtrOutput

func (TrainingDatasetColumnTypeOutput) ToStringPtrOutputWithContext 

func (o TrainingDatasetColumnTypeOutput) ToStringPtrOutputWithContext(ctx context.Context) pulumi.StringPtrOutput

func (TrainingDatasetColumnTypeOutput) ToTrainingDatasetColumnTypeOutput 

func (o TrainingDatasetColumnTypeOutput) ToTrainingDatasetColumnTypeOutput() TrainingDatasetColumnTypeOutput

func (TrainingDatasetColumnTypeOutput) ToTrainingDatasetColumnTypeOutputWithContext 

func (o TrainingDatasetColumnTypeOutput) ToTrainingDatasetColumnTypeOutputWithContext(ctx context.Context) TrainingDatasetColumnTypeOutput

func (TrainingDatasetColumnTypeOutput) ToTrainingDatasetColumnTypePtrOutput 

func (o TrainingDatasetColumnTypeOutput) ToTrainingDatasetColumnTypePtrOutput() TrainingDatasetColumnTypePtrOutput

func (TrainingDatasetColumnTypeOutput) ToTrainingDatasetColumnTypePtrOutputWithContext 

func (o TrainingDatasetColumnTypeOutput) ToTrainingDatasetColumnTypePtrOutputWithContext(ctx context.Context) TrainingDatasetColumnTypePtrOutput

type TrainingDatasetColumnTypePtrInput 

type TrainingDatasetColumnTypePtrInput interface {
	pulumi.Input

	ToTrainingDatasetColumnTypePtrOutput() TrainingDatasetColumnTypePtrOutput
	ToTrainingDatasetColumnTypePtrOutputWithContext(context.Context) TrainingDatasetColumnTypePtrOutput
}

func TrainingDatasetColumnTypePtr 

func TrainingDatasetColumnTypePtr(v string) TrainingDatasetColumnTypePtrInput

type TrainingDatasetColumnTypePtrOutput 

type TrainingDatasetColumnTypePtrOutput struct{ *pulumi.OutputState }

func (TrainingDatasetColumnTypePtrOutput) Elem 

func (o TrainingDatasetColumnTypePtrOutput) Elem() TrainingDatasetColumnTypeOutput

func (TrainingDatasetColumnTypePtrOutput) ElementType 

func (TrainingDatasetColumnTypePtrOutput) ElementType() reflect.Type

func (TrainingDatasetColumnTypePtrOutput) ToStringPtrOutput 

func (o TrainingDatasetColumnTypePtrOutput) ToStringPtrOutput() pulumi.StringPtrOutput

func (TrainingDatasetColumnTypePtrOutput) ToStringPtrOutputWithContext 

func (o TrainingDatasetColumnTypePtrOutput) ToStringPtrOutputWithContext(ctx context.Context) pulumi.StringPtrOutput

func (TrainingDatasetColumnTypePtrOutput) ToTrainingDatasetColumnTypePtrOutput 

func (o TrainingDatasetColumnTypePtrOutput) ToTrainingDatasetColumnTypePtrOutput() TrainingDatasetColumnTypePtrOutput

func (TrainingDatasetColumnTypePtrOutput) ToTrainingDatasetColumnTypePtrOutputWithContext 

func (o TrainingDatasetColumnTypePtrOutput) ToTrainingDatasetColumnTypePtrOutputWithContext(ctx context.Context) TrainingDatasetColumnTypePtrOutput

type TrainingDatasetDataSource 

type TrainingDatasetDataSource struct {
	// A GlueDataSource object that defines the catalog ID, database name, and table name for the training data.
	GlueDataSource TrainingDatasetGlueDataSource `pulumi:"glueDataSource"`
}

type TrainingDatasetDataSourceArgs 

type TrainingDatasetDataSourceArgs struct {
	// A GlueDataSource object that defines the catalog ID, database name, and table name for the training data.
	GlueDataSource TrainingDatasetGlueDataSourceInput `pulumi:"glueDataSource"`
}

func (TrainingDatasetDataSourceArgs) ElementType 

func (TrainingDatasetDataSourceArgs) ElementType() reflect.Type

func (TrainingDatasetDataSourceArgs) ToTrainingDatasetDataSourceOutput 

func (i TrainingDatasetDataSourceArgs) ToTrainingDatasetDataSourceOutput() TrainingDatasetDataSourceOutput

func (TrainingDatasetDataSourceArgs) ToTrainingDatasetDataSourceOutputWithContext 

func (i TrainingDatasetDataSourceArgs) ToTrainingDatasetDataSourceOutputWithContext(ctx context.Context) TrainingDatasetDataSourceOutput

type TrainingDatasetDataSourceInput 

type TrainingDatasetDataSourceInput interface {
	pulumi.Input

	ToTrainingDatasetDataSourceOutput() TrainingDatasetDataSourceOutput
	ToTrainingDatasetDataSourceOutputWithContext(context.Context) TrainingDatasetDataSourceOutput
}

TrainingDatasetDataSourceInput is an input type that accepts TrainingDatasetDataSourceArgs and TrainingDatasetDataSourceOutput values. You can construct a concrete instance of `TrainingDatasetDataSourceInput` via: 

TrainingDatasetDataSourceArgs{...}

type TrainingDatasetDataSourceOutput 

type TrainingDatasetDataSourceOutput struct{ *pulumi.OutputState }

func (TrainingDatasetDataSourceOutput) ElementType 

func (TrainingDatasetDataSourceOutput) ElementType() reflect.Type

func (TrainingDatasetDataSourceOutput) GlueDataSource 

func (o TrainingDatasetDataSourceOutput) GlueDataSource() TrainingDatasetGlueDataSourceOutput

A GlueDataSource object that defines the catalog ID, database name, and table name for the training data.

func (TrainingDatasetDataSourceOutput) ToTrainingDatasetDataSourceOutput 

func (o TrainingDatasetDataSourceOutput) ToTrainingDatasetDataSourceOutput() TrainingDatasetDataSourceOutput

func (TrainingDatasetDataSourceOutput) ToTrainingDatasetDataSourceOutputWithContext 

func (o TrainingDatasetDataSourceOutput) ToTrainingDatasetDataSourceOutputWithContext(ctx context.Context) TrainingDatasetDataSourceOutput

type TrainingDatasetDataset 

type TrainingDatasetDataset struct {
	// A DatasetInputConfig object that defines the data source and schema mapping.
	InputConfig TrainingDatasetDatasetInputConfig `pulumi:"inputConfig"`
	// What type of information is found in the dataset.
	Type TrainingDatasetDatasetType `pulumi:"type"`
}

type TrainingDatasetDatasetArgs 

type TrainingDatasetDatasetArgs struct {
	// A DatasetInputConfig object that defines the data source and schema mapping.
	InputConfig TrainingDatasetDatasetInputConfigInput `pulumi:"inputConfig"`
	// What type of information is found in the dataset.
	Type TrainingDatasetDatasetTypeInput `pulumi:"type"`
}

func (TrainingDatasetDatasetArgs) ElementType 

func (TrainingDatasetDatasetArgs) ElementType() reflect.Type

func (TrainingDatasetDatasetArgs) ToTrainingDatasetDatasetOutput 

func (i TrainingDatasetDatasetArgs) ToTrainingDatasetDatasetOutput() TrainingDatasetDatasetOutput

func (TrainingDatasetDatasetArgs) ToTrainingDatasetDatasetOutputWithContext 

func (i TrainingDatasetDatasetArgs) ToTrainingDatasetDatasetOutputWithContext(ctx context.Context) TrainingDatasetDatasetOutput

type TrainingDatasetDatasetArray 

type TrainingDatasetDatasetArray []TrainingDatasetDatasetInput

func (TrainingDatasetDatasetArray) ElementType 

func (TrainingDatasetDatasetArray) ElementType() reflect.Type

func (TrainingDatasetDatasetArray) ToTrainingDatasetDatasetArrayOutput 

func (i TrainingDatasetDatasetArray) ToTrainingDatasetDatasetArrayOutput() TrainingDatasetDatasetArrayOutput

func (TrainingDatasetDatasetArray) ToTrainingDatasetDatasetArrayOutputWithContext 

func (i TrainingDatasetDatasetArray) ToTrainingDatasetDatasetArrayOutputWithContext(ctx context.Context) TrainingDatasetDatasetArrayOutput

type TrainingDatasetDatasetArrayInput 

type TrainingDatasetDatasetArrayInput interface {
	pulumi.Input

	ToTrainingDatasetDatasetArrayOutput() TrainingDatasetDatasetArrayOutput
	ToTrainingDatasetDatasetArrayOutputWithContext(context.Context) TrainingDatasetDatasetArrayOutput
}

TrainingDatasetDatasetArrayInput is an input type that accepts TrainingDatasetDatasetArray and TrainingDatasetDatasetArrayOutput values. You can construct a concrete instance of `TrainingDatasetDatasetArrayInput` via: 

TrainingDatasetDatasetArray{ TrainingDatasetDatasetArgs{...} }

type TrainingDatasetDatasetArrayOutput 

type TrainingDatasetDatasetArrayOutput struct{ *pulumi.OutputState }

func (TrainingDatasetDatasetArrayOutput) ElementType 

func (TrainingDatasetDatasetArrayOutput) ElementType() reflect.Type

func (TrainingDatasetDatasetArrayOutput) Index 

func (o TrainingDatasetDatasetArrayOutput) Index(i pulumi.IntInput) TrainingDatasetDatasetOutput

func (TrainingDatasetDatasetArrayOutput) ToTrainingDatasetDatasetArrayOutput 

func (o TrainingDatasetDatasetArrayOutput) ToTrainingDatasetDatasetArrayOutput() TrainingDatasetDatasetArrayOutput

func (TrainingDatasetDatasetArrayOutput) ToTrainingDatasetDatasetArrayOutputWithContext 

func (o TrainingDatasetDatasetArrayOutput) ToTrainingDatasetDatasetArrayOutputWithContext(ctx context.Context) TrainingDatasetDatasetArrayOutput

type TrainingDatasetDatasetInput 

type TrainingDatasetDatasetInput interface {
	pulumi.Input

	ToTrainingDatasetDatasetOutput() TrainingDatasetDatasetOutput
	ToTrainingDatasetDatasetOutputWithContext(context.Context) TrainingDatasetDatasetOutput
}

TrainingDatasetDatasetInput is an input type that accepts TrainingDatasetDatasetArgs and TrainingDatasetDatasetOutput values. You can construct a concrete instance of `TrainingDatasetDatasetInput` via: 

TrainingDatasetDatasetArgs{...}

type TrainingDatasetDatasetInputConfig 

type TrainingDatasetDatasetInputConfig struct {
	// A DataSource object that specifies the Glue data source for the training data.
	DataSource TrainingDatasetDataSource `pulumi:"dataSource"`
	// The schema information for the training data.
	Schema []TrainingDatasetColumnSchema `pulumi:"schema"`
}

type TrainingDatasetDatasetInputConfigArgs 

type TrainingDatasetDatasetInputConfigArgs struct {
	// A DataSource object that specifies the Glue data source for the training data.
	DataSource TrainingDatasetDataSourceInput `pulumi:"dataSource"`
	// The schema information for the training data.
	Schema TrainingDatasetColumnSchemaArrayInput `pulumi:"schema"`
}

func (TrainingDatasetDatasetInputConfigArgs) ElementType 

func (TrainingDatasetDatasetInputConfigArgs) ElementType() reflect.Type

func (TrainingDatasetDatasetInputConfigArgs) ToTrainingDatasetDatasetInputConfigOutput 

func (i TrainingDatasetDatasetInputConfigArgs) ToTrainingDatasetDatasetInputConfigOutput() TrainingDatasetDatasetInputConfigOutput

func (TrainingDatasetDatasetInputConfigArgs) ToTrainingDatasetDatasetInputConfigOutputWithContext 

func (i TrainingDatasetDatasetInputConfigArgs) ToTrainingDatasetDatasetInputConfigOutputWithContext(ctx context.Context) TrainingDatasetDatasetInputConfigOutput

type TrainingDatasetDatasetInputConfigInput 

type TrainingDatasetDatasetInputConfigInput interface {
	pulumi.Input

	ToTrainingDatasetDatasetInputConfigOutput() TrainingDatasetDatasetInputConfigOutput
	ToTrainingDatasetDatasetInputConfigOutputWithContext(context.Context) TrainingDatasetDatasetInputConfigOutput
}

TrainingDatasetDatasetInputConfigInput is an input type that accepts TrainingDatasetDatasetInputConfigArgs and TrainingDatasetDatasetInputConfigOutput values. You can construct a concrete instance of `TrainingDatasetDatasetInputConfigInput` via: 

TrainingDatasetDatasetInputConfigArgs{...}

type TrainingDatasetDatasetInputConfigOutput 

type TrainingDatasetDatasetInputConfigOutput struct{ *pulumi.OutputState }

func (TrainingDatasetDatasetInputConfigOutput) DataSource 

func (o TrainingDatasetDatasetInputConfigOutput) DataSource() TrainingDatasetDataSourceOutput

A DataSource object that specifies the Glue data source for the training data.

func (TrainingDatasetDatasetInputConfigOutput) ElementType 

func (TrainingDatasetDatasetInputConfigOutput) ElementType() reflect.Type

func (TrainingDatasetDatasetInputConfigOutput) Schema 

func (o TrainingDatasetDatasetInputConfigOutput) Schema() TrainingDatasetColumnSchemaArrayOutput

The schema information for the training data.

func (TrainingDatasetDatasetInputConfigOutput) ToTrainingDatasetDatasetInputConfigOutput 

func (o TrainingDatasetDatasetInputConfigOutput) ToTrainingDatasetDatasetInputConfigOutput() TrainingDatasetDatasetInputConfigOutput

func (TrainingDatasetDatasetInputConfigOutput) ToTrainingDatasetDatasetInputConfigOutputWithContext 

func (o TrainingDatasetDatasetInputConfigOutput) ToTrainingDatasetDatasetInputConfigOutputWithContext(ctx context.Context) TrainingDatasetDatasetInputConfigOutput

type TrainingDatasetDatasetOutput 

type TrainingDatasetDatasetOutput struct{ *pulumi.OutputState }

func (TrainingDatasetDatasetOutput) ElementType 

func (TrainingDatasetDatasetOutput) ElementType() reflect.Type

func (TrainingDatasetDatasetOutput) InputConfig 

func (o TrainingDatasetDatasetOutput) InputConfig() TrainingDatasetDatasetInputConfigOutput

A DatasetInputConfig object that defines the data source and schema mapping.

func (TrainingDatasetDatasetOutput) ToTrainingDatasetDatasetOutput 

func (o TrainingDatasetDatasetOutput) ToTrainingDatasetDatasetOutput() TrainingDatasetDatasetOutput

func (TrainingDatasetDatasetOutput) ToTrainingDatasetDatasetOutputWithContext 

func (o TrainingDatasetDatasetOutput) ToTrainingDatasetDatasetOutputWithContext(ctx context.Context) TrainingDatasetDatasetOutput

func (TrainingDatasetDatasetOutput) Type 

func (o TrainingDatasetDatasetOutput) Type() TrainingDatasetDatasetTypeOutput

What type of information is found in the dataset.

type TrainingDatasetDatasetType 

type TrainingDatasetDatasetType string

func (TrainingDatasetDatasetType) ElementType 

func (TrainingDatasetDatasetType) ElementType() reflect.Type

func (TrainingDatasetDatasetType) ToStringOutput 

func (e TrainingDatasetDatasetType) ToStringOutput() pulumi.StringOutput

func (TrainingDatasetDatasetType) ToStringOutputWithContext 

func (e TrainingDatasetDatasetType) ToStringOutputWithContext(ctx context.Context) pulumi.StringOutput

func (TrainingDatasetDatasetType) ToStringPtrOutput 

func (e TrainingDatasetDatasetType) ToStringPtrOutput() pulumi.StringPtrOutput

func (TrainingDatasetDatasetType) ToStringPtrOutputWithContext 

func (e TrainingDatasetDatasetType) ToStringPtrOutputWithContext(ctx context.Context) pulumi.StringPtrOutput

func (TrainingDatasetDatasetType) ToTrainingDatasetDatasetTypeOutput 

func (e TrainingDatasetDatasetType) ToTrainingDatasetDatasetTypeOutput() TrainingDatasetDatasetTypeOutput

func (TrainingDatasetDatasetType) ToTrainingDatasetDatasetTypeOutputWithContext 

func (e TrainingDatasetDatasetType) ToTrainingDatasetDatasetTypeOutputWithContext(ctx context.Context) TrainingDatasetDatasetTypeOutput

func (TrainingDatasetDatasetType) ToTrainingDatasetDatasetTypePtrOutput 

func (e TrainingDatasetDatasetType) ToTrainingDatasetDatasetTypePtrOutput() TrainingDatasetDatasetTypePtrOutput

func (TrainingDatasetDatasetType) ToTrainingDatasetDatasetTypePtrOutputWithContext 

func (e TrainingDatasetDatasetType) ToTrainingDatasetDatasetTypePtrOutputWithContext(ctx context.Context) TrainingDatasetDatasetTypePtrOutput

type TrainingDatasetDatasetTypeInput 

type TrainingDatasetDatasetTypeInput interface {
	pulumi.Input

	ToTrainingDatasetDatasetTypeOutput() TrainingDatasetDatasetTypeOutput
	ToTrainingDatasetDatasetTypeOutputWithContext(context.Context) TrainingDatasetDatasetTypeOutput
}

TrainingDatasetDatasetTypeInput is an input type that accepts values of the TrainingDatasetDatasetType enum A concrete instance of `TrainingDatasetDatasetTypeInput` can be one of the following: 

TrainingDatasetDatasetTypeInteractions

type TrainingDatasetDatasetTypeOutput 

type TrainingDatasetDatasetTypeOutput struct{ *pulumi.OutputState }

func (TrainingDatasetDatasetTypeOutput) ElementType 

func (TrainingDatasetDatasetTypeOutput) ElementType() reflect.Type

func (TrainingDatasetDatasetTypeOutput) ToStringOutput 

func (o TrainingDatasetDatasetTypeOutput) ToStringOutput() pulumi.StringOutput

func (TrainingDatasetDatasetTypeOutput) ToStringOutputWithContext 

func (o TrainingDatasetDatasetTypeOutput) ToStringOutputWithContext(ctx context.Context) pulumi.StringOutput

func (TrainingDatasetDatasetTypeOutput) ToStringPtrOutput 

func (o TrainingDatasetDatasetTypeOutput) ToStringPtrOutput() pulumi.StringPtrOutput

func (TrainingDatasetDatasetTypeOutput) ToStringPtrOutputWithContext 

func (o TrainingDatasetDatasetTypeOutput) ToStringPtrOutputWithContext(ctx context.Context) pulumi.StringPtrOutput

func (TrainingDatasetDatasetTypeOutput) ToTrainingDatasetDatasetTypeOutput 

func (o TrainingDatasetDatasetTypeOutput) ToTrainingDatasetDatasetTypeOutput() TrainingDatasetDatasetTypeOutput

func (TrainingDatasetDatasetTypeOutput) ToTrainingDatasetDatasetTypeOutputWithContext 

func (o TrainingDatasetDatasetTypeOutput) ToTrainingDatasetDatasetTypeOutputWithContext(ctx context.Context) TrainingDatasetDatasetTypeOutput

func (TrainingDatasetDatasetTypeOutput) ToTrainingDatasetDatasetTypePtrOutput 

func (o TrainingDatasetDatasetTypeOutput) ToTrainingDatasetDatasetTypePtrOutput() TrainingDatasetDatasetTypePtrOutput

func (TrainingDatasetDatasetTypeOutput) ToTrainingDatasetDatasetTypePtrOutputWithContext 

func (o TrainingDatasetDatasetTypeOutput) ToTrainingDatasetDatasetTypePtrOutputWithContext(ctx context.Context) TrainingDatasetDatasetTypePtrOutput

type TrainingDatasetDatasetTypePtrInput 

type TrainingDatasetDatasetTypePtrInput interface {
	pulumi.Input

	ToTrainingDatasetDatasetTypePtrOutput() TrainingDatasetDatasetTypePtrOutput
	ToTrainingDatasetDatasetTypePtrOutputWithContext(context.Context) TrainingDatasetDatasetTypePtrOutput
}

func TrainingDatasetDatasetTypePtr 

func TrainingDatasetDatasetTypePtr(v string) TrainingDatasetDatasetTypePtrInput

type TrainingDatasetDatasetTypePtrOutput 

type TrainingDatasetDatasetTypePtrOutput struct{ *pulumi.OutputState }

func (TrainingDatasetDatasetTypePtrOutput) Elem 

func (o TrainingDatasetDatasetTypePtrOutput) Elem() TrainingDatasetDatasetTypeOutput

func (TrainingDatasetDatasetTypePtrOutput) ElementType 

func (TrainingDatasetDatasetTypePtrOutput) ElementType() reflect.Type

func (TrainingDatasetDatasetTypePtrOutput) ToStringPtrOutput 

func (o TrainingDatasetDatasetTypePtrOutput) ToStringPtrOutput() pulumi.StringPtrOutput

func (TrainingDatasetDatasetTypePtrOutput) ToStringPtrOutputWithContext 

func (o TrainingDatasetDatasetTypePtrOutput) ToStringPtrOutputWithContext(ctx context.Context) pulumi.StringPtrOutput

func (TrainingDatasetDatasetTypePtrOutput) ToTrainingDatasetDatasetTypePtrOutput 

func (o TrainingDatasetDatasetTypePtrOutput) ToTrainingDatasetDatasetTypePtrOutput() TrainingDatasetDatasetTypePtrOutput

func (TrainingDatasetDatasetTypePtrOutput) ToTrainingDatasetDatasetTypePtrOutputWithContext 

func (o TrainingDatasetDatasetTypePtrOutput) ToTrainingDatasetDatasetTypePtrOutputWithContext(ctx context.Context) TrainingDatasetDatasetTypePtrOutput

type TrainingDatasetGlueDataSource 

type TrainingDatasetGlueDataSource struct {
	// The Glue catalog that contains the training data.
	CatalogId *string `pulumi:"catalogId"`
	// The Glue database that contains the training data.
	DatabaseName string `pulumi:"databaseName"`
	// The Glue table that contains the training data.
	TableName string `pulumi:"tableName"`
}

type TrainingDatasetGlueDataSourceArgs 

type TrainingDatasetGlueDataSourceArgs struct {
	// The Glue catalog that contains the training data.
	CatalogId pulumi.StringPtrInput `pulumi:"catalogId"`
	// The Glue database that contains the training data.
	DatabaseName pulumi.StringInput `pulumi:"databaseName"`
	// The Glue table that contains the training data.
	TableName pulumi.StringInput `pulumi:"tableName"`
}

func (TrainingDatasetGlueDataSourceArgs) ElementType 

func (TrainingDatasetGlueDataSourceArgs) ElementType() reflect.Type

func (TrainingDatasetGlueDataSourceArgs) ToTrainingDatasetGlueDataSourceOutput 

func (i TrainingDatasetGlueDataSourceArgs) ToTrainingDatasetGlueDataSourceOutput() TrainingDatasetGlueDataSourceOutput

func (TrainingDatasetGlueDataSourceArgs) ToTrainingDatasetGlueDataSourceOutputWithContext 

func (i TrainingDatasetGlueDataSourceArgs) ToTrainingDatasetGlueDataSourceOutputWithContext(ctx context.Context) TrainingDatasetGlueDataSourceOutput

type TrainingDatasetGlueDataSourceInput 

type TrainingDatasetGlueDataSourceInput interface {
	pulumi.Input

	ToTrainingDatasetGlueDataSourceOutput() TrainingDatasetGlueDataSourceOutput
	ToTrainingDatasetGlueDataSourceOutputWithContext(context.Context) TrainingDatasetGlueDataSourceOutput
}

TrainingDatasetGlueDataSourceInput is an input type that accepts TrainingDatasetGlueDataSourceArgs and TrainingDatasetGlueDataSourceOutput values. You can construct a concrete instance of `TrainingDatasetGlueDataSourceInput` via: 

TrainingDatasetGlueDataSourceArgs{...}

type TrainingDatasetGlueDataSourceOutput 

type TrainingDatasetGlueDataSourceOutput struct{ *pulumi.OutputState }

func (TrainingDatasetGlueDataSourceOutput) CatalogId 

func (o TrainingDatasetGlueDataSourceOutput) CatalogId() pulumi.StringPtrOutput

The Glue catalog that contains the training data.

func (TrainingDatasetGlueDataSourceOutput) DatabaseName 

func (o TrainingDatasetGlueDataSourceOutput) DatabaseName() pulumi.StringOutput

The Glue database that contains the training data.

func (TrainingDatasetGlueDataSourceOutput) ElementType 

func (TrainingDatasetGlueDataSourceOutput) ElementType() reflect.Type

func (TrainingDatasetGlueDataSourceOutput) TableName 

func (o TrainingDatasetGlueDataSourceOutput) TableName() pulumi.StringOutput

The Glue table that contains the training data.

func (TrainingDatasetGlueDataSourceOutput) ToTrainingDatasetGlueDataSourceOutput 

func (o TrainingDatasetGlueDataSourceOutput) ToTrainingDatasetGlueDataSourceOutput() TrainingDatasetGlueDataSourceOutput

func (TrainingDatasetGlueDataSourceOutput) ToTrainingDatasetGlueDataSourceOutputWithContext 

func (o TrainingDatasetGlueDataSourceOutput) ToTrainingDatasetGlueDataSourceOutputWithContext(ctx context.Context) TrainingDatasetGlueDataSourceOutput

type TrainingDatasetInput 

type TrainingDatasetInput interface {
	pulumi.Input

	ToTrainingDatasetOutput() TrainingDatasetOutput
	ToTrainingDatasetOutputWithContext(ctx context.Context) TrainingDatasetOutput
}

type TrainingDatasetOutput 

type TrainingDatasetOutput struct{ *pulumi.OutputState }

func (TrainingDatasetOutput) Description 

func (o TrainingDatasetOutput) Description() pulumi.StringPtrOutput

The description of the training dataset.

func (TrainingDatasetOutput) ElementType 

func (TrainingDatasetOutput) ElementType() reflect.Type

func (TrainingDatasetOutput) Name 

func (o TrainingDatasetOutput) Name() pulumi.StringOutput

The name of the training dataset.

func (TrainingDatasetOutput) RoleArn 

func (o TrainingDatasetOutput) RoleArn() pulumi.StringOutput

The ARN of the IAM role that Clean Rooms ML can assume to read the data referred to in the `dataSource` field of each dataset.

Passing a role across accounts is not allowed. If you pass a role that isn't in your account, you get an `AccessDeniedException` error.

func (TrainingDatasetOutput) Status 

func (o TrainingDatasetOutput) Status() TrainingDatasetStatusOutput

The status of the training dataset.

func (TrainingDatasetOutput) Tags 

func (o TrainingDatasetOutput) Tags() aws.TagArrayOutput

An arbitrary set of tags (key-value pairs) for this cleanrooms-ml training dataset.

func (TrainingDatasetOutput) ToTrainingDatasetOutput 

func (o TrainingDatasetOutput) ToTrainingDatasetOutput() TrainingDatasetOutput

func (TrainingDatasetOutput) ToTrainingDatasetOutputWithContext 

func (o TrainingDatasetOutput) ToTrainingDatasetOutputWithContext(ctx context.Context) TrainingDatasetOutput

func (TrainingDatasetOutput) TrainingData 

func (o TrainingDatasetOutput) TrainingData() TrainingDatasetDatasetArrayOutput

An array of information that lists the Dataset objects, which specifies the dataset type and details on its location and schema. You must provide a role that has read access to these tables.

func (TrainingDatasetOutput) TrainingDatasetArn 

func (o TrainingDatasetOutput) TrainingDatasetArn() pulumi.StringOutput

The Amazon Resource Name (ARN) of the training dataset.

type TrainingDatasetState 

type TrainingDatasetState struct {
}

func (TrainingDatasetState) ElementType 

func (TrainingDatasetState) ElementType() reflect.Type

type TrainingDatasetStatus 

type TrainingDatasetStatus string

type TrainingDatasetStatusOutput 

type TrainingDatasetStatusOutput struct{ *pulumi.OutputState }

func (TrainingDatasetStatusOutput) ElementType 

func (TrainingDatasetStatusOutput) ElementType() reflect.Type

func (TrainingDatasetStatusOutput) ToStringOutput 

func (o TrainingDatasetStatusOutput) ToStringOutput() pulumi.StringOutput

func (TrainingDatasetStatusOutput) ToStringOutputWithContext 

func (o TrainingDatasetStatusOutput) ToStringOutputWithContext(ctx context.Context) pulumi.StringOutput

func (TrainingDatasetStatusOutput) ToStringPtrOutput 

func (o TrainingDatasetStatusOutput) ToStringPtrOutput() pulumi.StringPtrOutput

func (TrainingDatasetStatusOutput) ToStringPtrOutputWithContext 

func (o TrainingDatasetStatusOutput) ToStringPtrOutputWithContext(ctx context.Context) pulumi.StringPtrOutput

func (TrainingDatasetStatusOutput) ToTrainingDatasetStatusOutput 

func (o TrainingDatasetStatusOutput) ToTrainingDatasetStatusOutput() TrainingDatasetStatusOutput

func (TrainingDatasetStatusOutput) ToTrainingDatasetStatusOutputWithContext 

func (o TrainingDatasetStatusOutput) ToTrainingDatasetStatusOutputWithContext(ctx context.Context) TrainingDatasetStatusOutput

func (TrainingDatasetStatusOutput) ToTrainingDatasetStatusPtrOutput 

func (o TrainingDatasetStatusOutput) ToTrainingDatasetStatusPtrOutput() TrainingDatasetStatusPtrOutput

func (TrainingDatasetStatusOutput) ToTrainingDatasetStatusPtrOutputWithContext 

func (o TrainingDatasetStatusOutput) ToTrainingDatasetStatusPtrOutputWithContext(ctx context.Context) TrainingDatasetStatusPtrOutput

type TrainingDatasetStatusPtrOutput 

type TrainingDatasetStatusPtrOutput struct{ *pulumi.OutputState }

func (TrainingDatasetStatusPtrOutput) Elem 

func (o TrainingDatasetStatusPtrOutput) Elem() TrainingDatasetStatusOutput

func (TrainingDatasetStatusPtrOutput) ElementType 

func (TrainingDatasetStatusPtrOutput) ElementType() reflect.Type

func (TrainingDatasetStatusPtrOutput) ToStringPtrOutput 

func (o TrainingDatasetStatusPtrOutput) ToStringPtrOutput() pulumi.StringPtrOutput

func (TrainingDatasetStatusPtrOutput) ToStringPtrOutputWithContext 

func (o TrainingDatasetStatusPtrOutput) ToStringPtrOutputWithContext(ctx context.Context) pulumi.StringPtrOutput

func (TrainingDatasetStatusPtrOutput) ToTrainingDatasetStatusPtrOutput 

func (o TrainingDatasetStatusPtrOutput) ToTrainingDatasetStatusPtrOutput() TrainingDatasetStatusPtrOutput

func (TrainingDatasetStatusPtrOutput) ToTrainingDatasetStatusPtrOutputWithContext 

func (o TrainingDatasetStatusPtrOutput) ToTrainingDatasetStatusPtrOutputWithContext(ctx context.Context) TrainingDatasetStatusPtrOutput

type TrainingDatasetTag 

type TrainingDatasetTag struct {
	// The key name of the tag. You can specify a value that's 1 to 128 Unicode characters in length and can't be prefixed with `aws:` . digits, whitespace, `_` , `.` , `:` , `/` , `=` , `+` , `@` , `-` , and `"` .
	//
	// For more information, see [Tag](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-resource-tags.html)
	Key string `pulumi:"key"`
	// The value for the tag. You can specify a value that's 1 to 256 characters in length. You can use any of the following characters: the set of Unicode letters, digits, whitespace, `_` , `.` , `/` , `=` , `+` , and `-` .
	//
	// For more information, see [Tag](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-resource-tags.html) .
	Value string `pulumi:"value"`
}

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