NAME

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

DESCRIPTION

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

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

SYNOPSIS

    my $machinelearning = Paws->service('MachineLearning');
    my $GetMLModelOutput = $machinelearning->GetMLModel(
      MLModelId => 'MyEntityId',
      Verbose   => 1,              # OPTIONAL
    );

    # Results:
    my $ComputeTime         = $GetMLModelOutput->ComputeTime;
    my $CreatedAt           = $GetMLModelOutput->CreatedAt;
    my $CreatedByIamUser    = $GetMLModelOutput->CreatedByIamUser;
    my $EndpointInfo        = $GetMLModelOutput->EndpointInfo;
    my $FinishedAt          = $GetMLModelOutput->FinishedAt;
    my $InputDataLocationS3 = $GetMLModelOutput->InputDataLocationS3;
    my $LastUpdatedAt       = $GetMLModelOutput->LastUpdatedAt;
    my $LogUri              = $GetMLModelOutput->LogUri;
    my $MLModelId           = $GetMLModelOutput->MLModelId;
    my $MLModelType         = $GetMLModelOutput->MLModelType;
    my $Message             = $GetMLModelOutput->Message;
    my $Name                = $GetMLModelOutput->Name;
    my $Recipe              = $GetMLModelOutput->Recipe;
    my $Schema              = $GetMLModelOutput->Schema;
    my $ScoreThreshold      = $GetMLModelOutput->ScoreThreshold;
    my $ScoreThresholdLastUpdatedAt =
      $GetMLModelOutput->ScoreThresholdLastUpdatedAt;
    my $SizeInBytes          = $GetMLModelOutput->SizeInBytes;
    my $StartedAt            = $GetMLModelOutput->StartedAt;
    my $Status               = $GetMLModelOutput->Status;
    my $TrainingDataSourceId = $GetMLModelOutput->TrainingDataSourceId;
    my $TrainingParameters   = $GetMLModelOutput->TrainingParameters;

    # Returns a L<Paws::MachineLearning::GetMLModelOutput> 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/GetMLModel

ATTRIBUTES

REQUIRED MLModelId => Str

The ID assigned to the MLModel at creation.

Verbose => Bool

Specifies whether the GetMLModel operation should return Recipe.

If true, Recipe is returned.

If false, Recipe is not returned.

SEE ALSO

This class forms part of Paws, documenting arguments for method GetMLModel 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