software.amazon.awssdk.services.sagemaker.model

Interface AutoMLAlgorithmConfig.Builder

All Superinterfaces:

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

Enclosing class:

AutoMLAlgorithmConfig

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

Method Summary

Modifier and Type	Method and Description
AutoMLAlgorithmConfig.Builder	autoMLAlgorithms(AutoMLAlgorithm... autoMLAlgorithms) The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.
AutoMLAlgorithmConfig.Builder	autoMLAlgorithms(Collection<AutoMLAlgorithm> autoMLAlgorithms) The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.
AutoMLAlgorithmConfig.Builder	autoMLAlgorithmsWithStrings(Collection<String> autoMLAlgorithms) The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.
AutoMLAlgorithmConfig.Builder	autoMLAlgorithmsWithStrings(String... autoMLAlgorithms) The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.

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

equalsBySdkFields, sdkFields

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

copy

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

applyMutation, build

Method Detail

autoMLAlgorithmsWithStrings

AutoMLAlgorithmConfig.Builder autoMLAlgorithmsWithStrings(Collection<String> autoMLAlgorithms)

The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.

Selected algorithms must belong to the list corresponding to the training mode set in AutoMLJobConfig.Mode (ENSEMBLING or HYPERPARAMETER_TUNING). Choose a minimum of 1 algorithm.

• In ENSEMBLING mode:

  • "catboost"

  • "extra-trees"

  • "fastai"

  • "lightgbm"

  • "linear-learner"

  • "nn-torch"

  • "randomforest"

  • "xgboost"

• In HYPERPARAMETER_TUNING mode:

  • "linear-learner"

  • "mlp"

  • "xgboost"

Parameters:

autoMLAlgorithms - The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.

Selected algorithms must belong to the list corresponding to the training mode set in AutoMLJobConfig.Mode (ENSEMBLING or HYPERPARAMETER_TUNING). Choose a minimum of 1 algorithm.

• In ENSEMBLING mode:

  • "catboost"

  • "extra-trees"

  • "fastai"

  • "lightgbm"

  • "linear-learner"

  • "nn-torch"

  • "randomforest"

  • "xgboost"

• In HYPERPARAMETER_TUNING mode:

  • "linear-learner"

  • "mlp"

  • "xgboost"

Returns:

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

autoMLAlgorithmsWithStrings

AutoMLAlgorithmConfig.Builder autoMLAlgorithmsWithStrings(String... autoMLAlgorithms)

The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.

Selected algorithms must belong to the list corresponding to the training mode set in AutoMLJobConfig.Mode (ENSEMBLING or HYPERPARAMETER_TUNING). Choose a minimum of 1 algorithm.

• In ENSEMBLING mode:

  • "catboost"

  • "extra-trees"

  • "fastai"

  • "lightgbm"

  • "linear-learner"

  • "nn-torch"

  • "randomforest"

  • "xgboost"

• In HYPERPARAMETER_TUNING mode:

  • "linear-learner"

  • "mlp"

  • "xgboost"

Parameters:

autoMLAlgorithms - The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.

Selected algorithms must belong to the list corresponding to the training mode set in AutoMLJobConfig.Mode (ENSEMBLING or HYPERPARAMETER_TUNING). Choose a minimum of 1 algorithm.

• In ENSEMBLING mode:

  • "catboost"

  • "extra-trees"

  • "fastai"

  • "lightgbm"

  • "linear-learner"

  • "nn-torch"

  • "randomforest"

  • "xgboost"

• In HYPERPARAMETER_TUNING mode:

  • "linear-learner"

  • "mlp"

  • "xgboost"

Returns:

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

autoMLAlgorithms

AutoMLAlgorithmConfig.Builder autoMLAlgorithms(Collection<AutoMLAlgorithm> autoMLAlgorithms)

The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.

Selected algorithms must belong to the list corresponding to the training mode set in AutoMLJobConfig.Mode (ENSEMBLING or HYPERPARAMETER_TUNING). Choose a minimum of 1 algorithm.

• In ENSEMBLING mode:

  • "catboost"

  • "extra-trees"

  • "fastai"

  • "lightgbm"

  • "linear-learner"

  • "nn-torch"

  • "randomforest"

  • "xgboost"

• In HYPERPARAMETER_TUNING mode:

  • "linear-learner"

  • "mlp"

  • "xgboost"

Parameters:

autoMLAlgorithms - The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.

Selected algorithms must belong to the list corresponding to the training mode set in AutoMLJobConfig.Mode (ENSEMBLING or HYPERPARAMETER_TUNING). Choose a minimum of 1 algorithm.

• In ENSEMBLING mode:

  • "catboost"

  • "extra-trees"

  • "fastai"

  • "lightgbm"

  • "linear-learner"

  • "nn-torch"

  • "randomforest"

  • "xgboost"

• In HYPERPARAMETER_TUNING mode:

  • "linear-learner"

  • "mlp"

  • "xgboost"

Returns:

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

autoMLAlgorithms

AutoMLAlgorithmConfig.Builder autoMLAlgorithms(AutoMLAlgorithm... autoMLAlgorithms)

The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.

Selected algorithms must belong to the list corresponding to the training mode set in AutoMLJobConfig.Mode (ENSEMBLING or HYPERPARAMETER_TUNING). Choose a minimum of 1 algorithm.

• In ENSEMBLING mode:

  • "catboost"

  • "extra-trees"

  • "fastai"

  • "lightgbm"

  • "linear-learner"

  • "nn-torch"

  • "randomforest"

  • "xgboost"

• In HYPERPARAMETER_TUNING mode:

  • "linear-learner"

  • "mlp"

  • "xgboost"

Parameters:

autoMLAlgorithms - The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.

Selected algorithms must belong to the list corresponding to the training mode set in AutoMLJobConfig.Mode (ENSEMBLING or HYPERPARAMETER_TUNING). Choose a minimum of 1 algorithm.

• In ENSEMBLING mode:

  • "catboost"

  • "extra-trees"

  • "fastai"

  • "lightgbm"

  • "linear-learner"

  • "nn-torch"

  • "randomforest"

  • "xgboost"

• In HYPERPARAMETER_TUNING mode:

  • "linear-learner"

  • "mlp"

  • "xgboost"

Returns:

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