Class CreateEvaluationRequest

java.lang.Object
com.amazonaws.AmazonWebServiceRequest
com.amazonaws.services.machinelearning.model.CreateEvaluationRequest
All Implemented Interfaces:
ReadLimitInfo, Serializable, Cloneable
public class CreateEvaluationRequest extends AmazonWebServiceRequest implements Serializable, Cloneable
See Also:

  • Constructor Details

    • CreateEvaluationRequest

      public CreateEvaluationRequest()

  • Method Details

    • setEvaluationId

      public void setEvaluationId(String evaluationId)

      A user-supplied ID that uniquely identifies the Evaluation.

      Parameters:
      evaluationId - A user-supplied ID that uniquely identifies the Evaluation.

    • getEvaluationId

      public String getEvaluationId()

      A user-supplied ID that uniquely identifies the Evaluation.

      Returns:
      A user-supplied ID that uniquely identifies the Evaluation.

    • withEvaluationId

      public CreateEvaluationRequest withEvaluationId(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.

    • setEvaluationName

      public void setEvaluationName(String evaluationName)

      A user-supplied name or description of the Evaluation.

      Parameters:
      evaluationName - A user-supplied name or description of the Evaluation .

    • getEvaluationName

      public String getEvaluationName()

      A user-supplied name or description of the Evaluation.

      Returns:
      A user-supplied name or description of the Evaluation.

    • withEvaluationName

      public CreateEvaluationRequest withEvaluationName(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.

    • setMLModelId

      public void setMLModelId(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.

    • getMLModelId

      public String getMLModelId()

      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:
      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.

    • withMLModelId

      public CreateEvaluationRequest withMLModelId(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.

    • setEvaluationDataSourceId

      public void setEvaluationDataSourceId(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.

    • getEvaluationDataSourceId

      public String getEvaluationDataSourceId()

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

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

    • withEvaluationDataSourceId

      public CreateEvaluationRequest withEvaluationDataSourceId(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.

    • toString

      public String toString()
      Returns a string representation of this object; useful for testing and debugging.
      Overrides:
      toString in class Object
      Returns:
      A string representation of this object.
      See Also:

    • equals

      public boolean equals(Object obj)
      Overrides:
      equals in class Object

    • hashCode

      public int hashCode()
      Overrides:
      hashCode in class Object

    • clone

      public CreateEvaluationRequest clone()
      Description copied from class: AmazonWebServiceRequest
      Creates a shallow clone of this request. Explicitly does not clone the deep structure of the request object.
      Overrides:
      clone in class AmazonWebServiceRequest
      See Also: