Package software.amazon.awssdk.services.comprehend.model

Interface DatasetInputDataConfig.Builder

All Superinterfaces:

Buildable, CopyableBuilder<DatasetInputDataConfig.Builder,DatasetInputDataConfig>, SdkBuilder<DatasetInputDataConfig.Builder,DatasetInputDataConfig>, SdkPojo

Enclosing class:

DatasetInputDataConfig

public static interface DatasetInputDataConfig.Builder
extends SdkPojo, CopyableBuilder<DatasetInputDataConfig.Builder,DatasetInputDataConfig>

Method Summary

Modifier and Type	Method	Description
DatasetInputDataConfig.Builder	augmentedManifests(Collection<DatasetAugmentedManifestsListItem> augmentedManifests)	A list of augmented manifest files that provide training data for your custom model.
DatasetInputDataConfig.Builder	augmentedManifests(Consumer<DatasetAugmentedManifestsListItem.Builder>... augmentedManifests)	A list of augmented manifest files that provide training data for your custom model.
DatasetInputDataConfig.Builder	augmentedManifests(DatasetAugmentedManifestsListItem... augmentedManifests)	A list of augmented manifest files that provide training data for your custom model.
DatasetInputDataConfig.Builder	dataFormat(String dataFormat)	COMPREHEND_CSV: The data format is a two-column CSV file, where the first column contains labels and the second column contains documents.
DatasetInputDataConfig.Builder	dataFormat(DatasetDataFormat dataFormat)	COMPREHEND_CSV: The data format is a two-column CSV file, where the first column contains labels and the second column contains documents.
default DatasetInputDataConfig.Builder	documentClassifierInputDataConfig(Consumer<DatasetDocumentClassifierInputDataConfig.Builder> documentClassifierInputDataConfig)	The input properties for training a document classifier model.
DatasetInputDataConfig.Builder	documentClassifierInputDataConfig(DatasetDocumentClassifierInputDataConfig documentClassifierInputDataConfig)	The input properties for training a document classifier model.
default DatasetInputDataConfig.Builder	entityRecognizerInputDataConfig(Consumer<DatasetEntityRecognizerInputDataConfig.Builder> entityRecognizerInputDataConfig)	The input properties for training an entity recognizer model.
DatasetInputDataConfig.Builder	entityRecognizerInputDataConfig(DatasetEntityRecognizerInputDataConfig entityRecognizerInputDataConfig)	The input properties for training an entity recognizer model.

Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder

copy

Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder

applyMutation, build

Methods inherited from interface software.amazon.awssdk.core.SdkPojo

equalsBySdkFields, sdkFields

Method Details

augmentedManifests

DatasetInputDataConfig.Builder augmentedManifests(Collection<DatasetAugmentedManifestsListItem> augmentedManifests)

A list of augmented manifest files that provide training data for your custom model. An augmented manifest file is a labeled dataset that is produced by Amazon SageMaker Ground Truth.

Parameters:

augmentedManifests - A list of augmented manifest files that provide training data for your custom model. An augmented manifest file is a labeled dataset that is produced by Amazon SageMaker Ground Truth.

Returns:

Returns a reference to this object so that method calls can be chained together.

augmentedManifests

DatasetInputDataConfig.Builder augmentedManifests(DatasetAugmentedManifestsListItem... augmentedManifests)

A list of augmented manifest files that provide training data for your custom model. An augmented manifest file is a labeled dataset that is produced by Amazon SageMaker Ground Truth.

Parameters:

augmentedManifests - A list of augmented manifest files that provide training data for your custom model. An augmented manifest file is a labeled dataset that is produced by Amazon SageMaker Ground Truth.

Returns:

Returns a reference to this object so that method calls can be chained together.

augmentedManifests

DatasetInputDataConfig.Builder augmentedManifests(Consumer<DatasetAugmentedManifestsListItem.Builder>... augmentedManifests)

A list of augmented manifest files that provide training data for your custom model. An augmented manifest file is a labeled dataset that is produced by Amazon SageMaker Ground Truth.

This is a convenience method that creates an instance of the DatasetAugmentedManifestsListItem.Builder avoiding the need to create one manually via DatasetAugmentedManifestsListItem.builder().

When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to augmentedManifests(List<DatasetAugmentedManifestsListItem>).

Parameters:

augmentedManifests - a consumer that will call methods on DatasetAugmentedManifestsListItem.Builder

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

• augmentedManifests(java.util.Collection<DatasetAugmentedManifestsListItem>)

dataFormat

DatasetInputDataConfig.Builder dataFormat(String dataFormat)

COMPREHEND_CSV: The data format is a two-column CSV file, where the first column contains labels and the second column contains documents.

AUGMENTED_MANIFEST: The data format

Parameters:

dataFormat - COMPREHEND_CSV: The data format is a two-column CSV file, where the first column contains labels and the second column contains documents.

AUGMENTED_MANIFEST: The data format

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

• DatasetDataFormat
• DatasetDataFormat

dataFormat

DatasetInputDataConfig.Builder dataFormat(DatasetDataFormat dataFormat)

COMPREHEND_CSV: The data format is a two-column CSV file, where the first column contains labels and the second column contains documents.

AUGMENTED_MANIFEST: The data format

Parameters:

dataFormat - COMPREHEND_CSV: The data format is a two-column CSV file, where the first column contains labels and the second column contains documents.

AUGMENTED_MANIFEST: The data format

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

• DatasetDataFormat
• DatasetDataFormat

documentClassifierInputDataConfig

DatasetInputDataConfig.Builder documentClassifierInputDataConfig(DatasetDocumentClassifierInputDataConfig documentClassifierInputDataConfig)

The input properties for training a document classifier model.

For more information on how the input file is formatted, see Preparing training data in the Comprehend Developer Guide.

Parameters:

documentClassifierInputDataConfig - The input properties for training a document classifier model.

For more information on how the input file is formatted, see Preparing training data in the Comprehend Developer Guide.

Returns:

Returns a reference to this object so that method calls can be chained together.

documentClassifierInputDataConfig

default DatasetInputDataConfig.Builder documentClassifierInputDataConfig(Consumer<DatasetDocumentClassifierInputDataConfig.Builder> documentClassifierInputDataConfig)

The input properties for training a document classifier model.

For more information on how the input file is formatted, see Preparing training data in the Comprehend Developer Guide.

This is a convenience method that creates an instance of the DatasetDocumentClassifierInputDataConfig.Builder avoiding the need to create one manually via DatasetDocumentClassifierInputDataConfig.builder().

When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to documentClassifierInputDataConfig(DatasetDocumentClassifierInputDataConfig).

Parameters:

documentClassifierInputDataConfig - a consumer that will call methods on DatasetDocumentClassifierInputDataConfig.Builder

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

• documentClassifierInputDataConfig(DatasetDocumentClassifierInputDataConfig)

entityRecognizerInputDataConfig

DatasetInputDataConfig.Builder entityRecognizerInputDataConfig(DatasetEntityRecognizerInputDataConfig entityRecognizerInputDataConfig)

The input properties for training an entity recognizer model.

Parameters:

entityRecognizerInputDataConfig - The input properties for training an entity recognizer model.

Returns:

Returns a reference to this object so that method calls can be chained together.

entityRecognizerInputDataConfig

default DatasetInputDataConfig.Builder entityRecognizerInputDataConfig(Consumer<DatasetEntityRecognizerInputDataConfig.Builder> entityRecognizerInputDataConfig)

The input properties for training an entity recognizer model.

This is a convenience method that creates an instance of the DatasetEntityRecognizerInputDataConfig.Builder avoiding the need to create one manually via DatasetEntityRecognizerInputDataConfig.builder().

When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to entityRecognizerInputDataConfig(DatasetEntityRecognizerInputDataConfig).

Parameters:

entityRecognizerInputDataConfig - a consumer that will call methods on DatasetEntityRecognizerInputDataConfig.Builder

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

• entityRecognizerInputDataConfig(DatasetEntityRecognizerInputDataConfig)