NAME

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

DESCRIPTION

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

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

SYNOPSIS

    my $machinelearning = Paws->service('MachineLearning');
    my $UpdateMLModelOutput = $machinelearning->UpdateMLModel(
      MLModelId      => 'MyEntityId',
      MLModelName    => 'MyEntityName',    # OPTIONAL
      ScoreThreshold => 1.0,               # OPTIONAL
    );
    # Results:
    my $MLModelId = $UpdateMLModelOutput->MLModelId;
    # Returns a L<Paws::MachineLearning::UpdateMLModelOutput> 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/UpdateMLModel>

ATTRIBUTES

REQUIRED MLModelId => Str

The ID assigned to the "MLModel" during creation.

MLModelName => Str

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

ScoreThreshold => Num

The "ScoreThreshold" used in binary classification "MLModel" that marks the boundary between a positive prediction and a negative prediction.

Output values greater than or equal to the "ScoreThreshold" receive a positive result from the "MLModel", such as "true". Output values less than the "ScoreThreshold" receive a negative response from the "MLModel", such as "false".

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>