software.amazon.awssdk.services.sagemaker.model

Interface AutoMLCandidateGenerationConfig.Builder

All Superinterfaces:

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

Enclosing class:

AutoMLCandidateGenerationConfig

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

Method Summary

Modifier and Type	Method and Description
AutoMLCandidateGenerationConfig.Builder	featureSpecificationS3Uri(String featureSpecificationS3Uri) A URL to the Amazon S3 data source containing selected features from the input data source to run 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

featureSpecificationS3Uri

AutoMLCandidateGenerationConfig.Builder featureSpecificationS3Uri(String featureSpecificationS3Uri)

A URL to the Amazon S3 data source containing selected features from the input data source to run an Autopilot job. You can input FeatureAttributeNames (optional) in JSON format as shown below:

{ "FeatureAttributeNames":["col1", "col2", ...] }.

You can also specify the data type of the feature (optional) in the format shown below:

{ "FeatureDataTypes":{"col1":"numeric", "col2":"categorical" ... } }

These column keys may not include the target column.

In ensembling mode, Autopilot will only support the following data types: numeric, categorical, text and datetime. In HPO mode, Autopilot can support numeric, categorical, text, datetime and sequence.

If only FeatureDataTypes is provided, the column keys (col1, col2,..) should be a subset of the column names in the input data.

If both FeatureDataTypes and FeatureAttributeNames are provided, then the column keys should be a subset of the column names provided in FeatureAttributeNames.

The key name FeatureAttributeNames is fixed. The values listed in ["col1", "col2", ...] is case sensitive and should be a list of strings containing unique values that are a subset of the column names in the input data. The list of columns provided must not include the target column.

Parameters:

featureSpecificationS3Uri - A URL to the Amazon S3 data source containing selected features from the input data source to run an Autopilot job. You can input FeatureAttributeNames (optional) in JSON format as shown below:

{ "FeatureAttributeNames":["col1", "col2", ...] }.

You can also specify the data type of the feature (optional) in the format shown below:

{ "FeatureDataTypes":{"col1":"numeric", "col2":"categorical" ... } }

These column keys may not include the target column.

In ensembling mode, Autopilot will only support the following data types: numeric, categorical, text and datetime. In HPO mode, Autopilot can support numeric, categorical, text, datetime and sequence.

If only FeatureDataTypes is provided, the column keys (col1, col2,..) should be a subset of the column names in the input data.

If both FeatureDataTypes and FeatureAttributeNames are provided, then the column keys should be a subset of the column names provided in FeatureAttributeNames.

The key name FeatureAttributeNames is fixed. The values listed in ["col1", "col2", ...] is case sensitive and should be a list of strings containing unique values that are a subset of the column names in the input data. The list of columns provided must not include the target column.

Returns:

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