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
.
SEE ALSO
This class forms part of Paws, documenting arguments for method CreateEvaluation in Paws::MachineLearning
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