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.

SEE ALSO

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