NAME

Paws::MachineLearning::CreateEvaluation - Arguments for method CreateEvaluation on Paws::MachineLearning

DESCRIPTION

This class represents the parameters used for calling the method CreateEvaluation on the Amazon Machine Learning service. Use the attributes of this class as arguments to method CreateEvaluation.

You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to CreateEvaluation.

SYNOPSIS

    my $machinelearning = Paws->service('MachineLearning');
    my $CreateEvaluationOutput = $machinelearning->CreateEvaluation(
      EvaluationDataSourceId => 'MyEntityId',
      EvaluationId           => 'MyEntityId',
      MLModelId              => 'MyEntityId',
      EvaluationName         => 'MyEntityName',    # OPTIONAL
    );
    # Results:
    my $EvaluationId = $CreateEvaluationOutput->EvaluationId;
    # Returns a L<Paws::MachineLearning::CreateEvaluationOutput> object.

Values for attributes that are native types (Int, String, Float, etc) can passed as-is (scalar values). Values for complex Types (objects) can be passed as a HashRef. The keys and values of the hashref will be used to instance the underlying object. For the AWS API documentation, see <https://docs.aws.amazon.com/goto/WebAPI/machinelearning/CreateEvaluation>

ATTRIBUTES

REQUIRED EvaluationDataSourceId => Str

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

REQUIRED EvaluationId => Str

A user-supplied ID that uniquely identifies the "Evaluation".

EvaluationName => Str

A user-supplied name or description of the "Evaluation".

REQUIRED MLModelId => Str

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".

BUGS and CONTRIBUTIONS

The source code is located here: <https://github.com/pplu/aws-sdk-perl>

Please report bugs to: <https://github.com/pplu/aws-sdk-perl/issues>