NAME

Paws::MachineLearning::Prediction

USAGE

This class represents one of two things:

Arguments in a call to a service

Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object.

As an example, if Att1 is expected to be a Paws::MachineLearning::Prediction object:

$service_obj->Method(Att1 => { Details => $value, ..., PredictedValue => $value  });

Results returned from an API call

Use accessors for each attribute. If Att1 is expected to be an Paws::MachineLearning::Prediction object:

$result = $service_obj->Method(...);
$result->Att1->Details

DESCRIPTION

The output from a Predict operation:

• Details - Contains the following attributes: DetailsAttributes.PREDICTIVE_MODEL_TYPE - REGRESSION | BINARY | MULTICLASS DetailsAttributes.ALGORITHM - SGD

• PredictedLabel - Present for either a BINARY or MULTICLASS MLModel request.

• PredictedScores - Contains the raw classification score corresponding to each label.

• PredictedValue - Present for a REGRESSION MLModel request.

ATTRIBUTES

Details => Paws::MachineLearning::DetailsMap

PredictedLabel => Str

The prediction label for either a BINARY or MULTICLASS MLModel.

PredictedScores => Paws::MachineLearning::ScoreValuePerLabelMap

PredictedValue => Num

The prediction value for REGRESSION MLModel.

SEE ALSO

This class forms part of Paws, describing an object used 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