Package software.amazon.awssdk.services.sagemaker.model

Interface AutoMLProblemTypeConfig.Builder

All Superinterfaces:

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

Enclosing class:

AutoMLProblemTypeConfig

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

Method Summary

Modifier and Type	Method	Description
default AutoMLProblemTypeConfig.Builder	imageClassificationJobConfig(Consumer<ImageClassificationJobConfig.Builder> imageClassificationJobConfig)	Settings used to configure an AutoML job V2 for the image classification problem type.
AutoMLProblemTypeConfig.Builder	imageClassificationJobConfig(ImageClassificationJobConfig imageClassificationJobConfig)	Settings used to configure an AutoML job V2 for the image classification problem type.
default AutoMLProblemTypeConfig.Builder	tabularJobConfig(Consumer<TabularJobConfig.Builder> tabularJobConfig)	Settings used to configure an AutoML job V2 for the tabular problem type (regression, classification).
AutoMLProblemTypeConfig.Builder	tabularJobConfig(TabularJobConfig tabularJobConfig)	Settings used to configure an AutoML job V2 for the tabular problem type (regression, classification).
default AutoMLProblemTypeConfig.Builder	textClassificationJobConfig(Consumer<TextClassificationJobConfig.Builder> textClassificationJobConfig)	Settings used to configure an AutoML job V2 for the text classification problem type.
AutoMLProblemTypeConfig.Builder	textClassificationJobConfig(TextClassificationJobConfig textClassificationJobConfig)	Settings used to configure an AutoML job V2 for the text classification problem type.
default AutoMLProblemTypeConfig.Builder	textGenerationJobConfig(Consumer<TextGenerationJobConfig.Builder> textGenerationJobConfig)	Settings used to configure an AutoML job V2 for the text generation (LLMs fine-tuning) problem type.
AutoMLProblemTypeConfig.Builder	textGenerationJobConfig(TextGenerationJobConfig textGenerationJobConfig)	Settings used to configure an AutoML job V2 for the text generation (LLMs fine-tuning) problem type.
default AutoMLProblemTypeConfig.Builder	timeSeriesForecastingJobConfig(Consumer<TimeSeriesForecastingJobConfig.Builder> timeSeriesForecastingJobConfig)	Settings used to configure an AutoML job V2 for the time-series forecasting problem type.
AutoMLProblemTypeConfig.Builder	timeSeriesForecastingJobConfig(TimeSeriesForecastingJobConfig timeSeriesForecastingJobConfig)	Settings used to configure an AutoML job V2 for the time-series forecasting problem type.

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 Detail

imageClassificationJobConfig

AutoMLProblemTypeConfig.Builder imageClassificationJobConfig(ImageClassificationJobConfig imageClassificationJobConfig)

Settings used to configure an AutoML job V2 for the image classification problem type.

Parameters:

imageClassificationJobConfig - Settings used to configure an AutoML job V2 for the image classification problem type.

Returns:

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

imageClassificationJobConfig

default AutoMLProblemTypeConfig.Builder imageClassificationJobConfig(Consumer<ImageClassificationJobConfig.Builder> imageClassificationJobConfig)

Settings used to configure an AutoML job V2 for the image classification problem type.

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

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

Parameters:

imageClassificationJobConfig - a consumer that will call methods on ImageClassificationJobConfig.Builder

Returns:

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

See Also:

imageClassificationJobConfig(ImageClassificationJobConfig)

textClassificationJobConfig

AutoMLProblemTypeConfig.Builder textClassificationJobConfig(TextClassificationJobConfig textClassificationJobConfig)

Settings used to configure an AutoML job V2 for the text classification problem type.

Parameters:

textClassificationJobConfig - Settings used to configure an AutoML job V2 for the text classification problem type.

Returns:

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

textClassificationJobConfig

default AutoMLProblemTypeConfig.Builder textClassificationJobConfig(Consumer<TextClassificationJobConfig.Builder> textClassificationJobConfig)

Settings used to configure an AutoML job V2 for the text classification problem type.

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

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

Parameters:

textClassificationJobConfig - a consumer that will call methods on TextClassificationJobConfig.Builder

Returns:

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

See Also:

textClassificationJobConfig(TextClassificationJobConfig)

tabularJobConfig

AutoMLProblemTypeConfig.Builder tabularJobConfig(TabularJobConfig tabularJobConfig)

Settings used to configure an AutoML job V2 for the tabular problem type (regression, classification).

Parameters:

tabularJobConfig - Settings used to configure an AutoML job V2 for the tabular problem type (regression, classification).

Returns:

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

tabularJobConfig

default AutoMLProblemTypeConfig.Builder tabularJobConfig(Consumer<TabularJobConfig.Builder> tabularJobConfig)

Settings used to configure an AutoML job V2 for the tabular problem type (regression, classification).

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

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

Parameters:

tabularJobConfig - a consumer that will call methods on TabularJobConfig.Builder

Returns:

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

See Also:

tabularJobConfig(TabularJobConfig)

timeSeriesForecastingJobConfig

AutoMLProblemTypeConfig.Builder timeSeriesForecastingJobConfig(TimeSeriesForecastingJobConfig timeSeriesForecastingJobConfig)

Settings used to configure an AutoML job V2 for the time-series forecasting problem type.

Parameters:

timeSeriesForecastingJobConfig - Settings used to configure an AutoML job V2 for the time-series forecasting problem type.

Returns:

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

timeSeriesForecastingJobConfig

default AutoMLProblemTypeConfig.Builder timeSeriesForecastingJobConfig(Consumer<TimeSeriesForecastingJobConfig.Builder> timeSeriesForecastingJobConfig)

Settings used to configure an AutoML job V2 for the time-series forecasting problem type.

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

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

Parameters:

timeSeriesForecastingJobConfig - a consumer that will call methods on TimeSeriesForecastingJobConfig.Builder

Returns:

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

See Also:

timeSeriesForecastingJobConfig(TimeSeriesForecastingJobConfig)

textGenerationJobConfig

AutoMLProblemTypeConfig.Builder textGenerationJobConfig(TextGenerationJobConfig textGenerationJobConfig)

Settings used to configure an AutoML job V2 for the text generation (LLMs fine-tuning) problem type.

The text generation models that support fine-tuning in Autopilot are currently accessible exclusively in regions supported by Canvas. Refer to the documentation of Canvas for the full list of its supported Regions.

Parameters:

textGenerationJobConfig - Settings used to configure an AutoML job V2 for the text generation (LLMs fine-tuning) problem type.

The text generation models that support fine-tuning in Autopilot are currently accessible exclusively in regions supported by Canvas. Refer to the documentation of Canvas for the full list of its supported Regions.

Returns:

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

textGenerationJobConfig

default AutoMLProblemTypeConfig.Builder textGenerationJobConfig(Consumer<TextGenerationJobConfig.Builder> textGenerationJobConfig)

Settings used to configure an AutoML job V2 for the text generation (LLMs fine-tuning) problem type.

The text generation models that support fine-tuning in Autopilot are currently accessible exclusively in regions supported by Canvas. Refer to the documentation of Canvas for the full list of its supported Regions.

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

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

Parameters:

textGenerationJobConfig - a consumer that will call methods on TextGenerationJobConfig.Builder

Returns:

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

See Also:

textGenerationJobConfig(TextGenerationJobConfig)