# Generated by default/object.tt package Paws::MachineLearning::Prediction; use Moose; has Details => (is => 'ro', isa => 'Paws::MachineLearning::DetailsMap', request_name => 'details', traits => ['NameInRequest']); has PredictedLabel => (is => 'ro', isa => 'Str', request_name => 'predictedLabel', traits => ['NameInRequest']); has PredictedScores => (is => 'ro', isa => 'Paws::MachineLearning::ScoreValuePerLabelMap', request_name => 'predictedScores', traits => ['NameInRequest']); has PredictedValue => (is => 'ro', isa => 'Num', request_name => 'predictedValue', traits => ['NameInRequest']); 1; ### main pod documentation begin ### =head1 NAME Paws::MachineLearning::Prediction =head1 USAGE This class represents one of two things: =head3 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 }); =head3 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 =head1 DESCRIPTION The output from a C operation: =over =item * C

- Contains the following attributes: C C =item * C - Present for either a C or C C request. =item * C - Contains the raw classification score corresponding to each label. =item * C - Present for a C C request. =back =head1 ATTRIBUTES =head2 Details => L =head2 PredictedLabel => Str The prediction label for either a C or C C. =head2 PredictedScores => L =head2 PredictedValue => Num The prediction value for C C. =head1 SEE ALSO This class forms part of L, describing an object used in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut