Package software.amazon.awssdk.services.machinelearning.model

Interface CreateEvaluationRequest.Builder

All Superinterfaces:
AwsRequest.Builder, Buildable, CopyableBuilder<CreateEvaluationRequest.Builder,CreateEvaluationRequest>, MachineLearningRequest.Builder, SdkBuilder<CreateEvaluationRequest.Builder,CreateEvaluationRequest>, SdkPojo, SdkRequest.Builder
Enclosing class:
CreateEvaluationRequest
public static interface CreateEvaluationRequest.Builder extends MachineLearningRequest.Builder, SdkPojo, CopyableBuilder<CreateEvaluationRequest.Builder,CreateEvaluationRequest>

  • Method Details

    • evaluationId

      CreateEvaluationRequest.Builder evaluationId(String evaluationId)

      A user-supplied ID that uniquely identifies the Evaluation.

      Parameters:
      evaluationId - A user-supplied ID that uniquely identifies the Evaluation.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • evaluationName

      CreateEvaluationRequest.Builder evaluationName(String evaluationName)

      A user-supplied name or description of the Evaluation.

      Parameters:
      evaluationName - A user-supplied name or description of the Evaluation.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • mlModelId

      CreateEvaluationRequest.Builder mlModelId(String mlModelId)

      The ID of the MLModel to evaluate.

      The schema used in creating the MLModel must match the schema of the DataSource used in the Evaluation.

      Parameters:
      mlModelId - The ID of the MLModel to evaluate.

      The schema used in creating the MLModel must match the schema of the DataSource used in the Evaluation.

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

    • evaluationDataSourceId

      CreateEvaluationRequest.Builder evaluationDataSourceId(String evaluationDataSourceId)

      The ID of the DataSource for the evaluation. The schema of the DataSource must match the schema used to create the MLModel.

      Parameters:
      evaluationDataSourceId - The ID of the DataSource for the evaluation. The schema of the DataSource must match the schema used to create the MLModel.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • overrideConfiguration

      CreateEvaluationRequest.Builder overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration)
      Description copied from interface: AwsRequest.Builder
      Add an optional request override configuration.
      Specified by:
      overrideConfiguration in interface AwsRequest.Builder
      Parameters:
      overrideConfiguration - The override configuration.
      Returns:
      This object for method chaining.

    • overrideConfiguration

      CreateEvaluationRequest.Builder overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer)
      Description copied from interface: AwsRequest.Builder
      Add an optional request override configuration.
      Specified by:
      overrideConfiguration in interface AwsRequest.Builder
      Parameters:
      builderConsumer - A Consumer to which an empty AwsRequestOverrideConfiguration.Builder will be given.
      Returns:
      This object for method chaining.