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Paws::MachineLearning::UpdateMLModel(3) User Contributed Perl Documentation Paws::MachineLearning::UpdateMLModel(3)

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

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

As an example:

  $service_obj->UpdateMLModel(Att1 => $value1, Att2 => $value2, ...);

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.

The ID assigned to the "MLModel" during creation.

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

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".

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

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

2015-08-06 perl v5.32.1

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