software.amazon.awssdk.services.comprehend.model

Interface ClassifierMetadata.Builder

All Superinterfaces:

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

Enclosing class:

ClassifierMetadata

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

Method Summary

Modifier and Type	Method and Description
ClassifierMetadata.Builder	evaluationMetrics(ClassifierEvaluationMetrics evaluationMetrics) Describes the result metrics for the test data associated with an documentation classifier.
default ClassifierMetadata.Builder	evaluationMetrics(Consumer<ClassifierEvaluationMetrics.Builder> evaluationMetrics) Describes the result metrics for the test data associated with an documentation classifier.
ClassifierMetadata.Builder	numberOfLabels(Integer numberOfLabels) The number of labels in the input data.
ClassifierMetadata.Builder	numberOfTestDocuments(Integer numberOfTestDocuments) The number of documents in the input data that were used to test the classifier.
ClassifierMetadata.Builder	numberOfTrainedDocuments(Integer numberOfTrainedDocuments) The number of documents in the input data that were used to train the classifier.

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

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

numberOfLabels

ClassifierMetadata.Builder numberOfLabels(Integer numberOfLabels)

The number of labels in the input data.

Parameters:

numberOfLabels - The number of labels in the input data.

Returns:

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

numberOfTrainedDocuments

ClassifierMetadata.Builder numberOfTrainedDocuments(Integer numberOfTrainedDocuments)

The number of documents in the input data that were used to train the classifier. Typically this is 80 to 90 percent of the input documents.

Parameters:

numberOfTrainedDocuments - The number of documents in the input data that were used to train the classifier. Typically this is 80 to 90 percent of the input documents.

Returns:

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

numberOfTestDocuments

ClassifierMetadata.Builder numberOfTestDocuments(Integer numberOfTestDocuments)

The number of documents in the input data that were used to test the classifier. Typically this is 10 to 20 percent of the input documents.

Parameters:

numberOfTestDocuments - The number of documents in the input data that were used to test the classifier. Typically this is 10 to 20 percent of the input documents.

Returns:

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

evaluationMetrics

ClassifierMetadata.Builder evaluationMetrics(ClassifierEvaluationMetrics evaluationMetrics)

Describes the result metrics for the test data associated with an documentation classifier.

Parameters:

evaluationMetrics - Describes the result metrics for the test data associated with an documentation classifier.

Returns:

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

evaluationMetrics

default ClassifierMetadata.Builder evaluationMetrics(Consumer<ClassifierEvaluationMetrics.Builder> evaluationMetrics)

Describes the result metrics for the test data associated with an documentation classifier.

This is a convenience that creates an instance of the ClassifierEvaluationMetrics.Builder avoiding the need to create one manually via ClassifierEvaluationMetrics.builder(). When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to evaluationMetrics(ClassifierEvaluationMetrics).

Parameters:

evaluationMetrics - a consumer that will call methods on ClassifierEvaluationMetrics.Builder

Returns:

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

See Also:

evaluationMetrics(ClassifierEvaluationMetrics)