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package Paws::MachineLearning::Prediction; |
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use Moose; |
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has Details => (is => 'ro', isa => 'Paws::MachineLearning::DetailsMap', request_name => 'details', traits => ['NameInRequest']); |
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has PredictedLabel => (is => 'ro', isa => 'Str', request_name => 'predictedLabel', traits => ['NameInRequest']); |
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has PredictedScores => (is => 'ro', isa => 'Paws::MachineLearning::ScoreValuePerLabelMap', request_name => 'predictedScores', traits => ['NameInRequest']); |
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has PredictedValue => (is => 'ro', isa => 'Num', request_name => 'predictedValue', traits => ['NameInRequest']); |
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1; |
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### main pod documentation begin ### |
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=head1 NAME |
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Paws::MachineLearning::Prediction |
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=head1 USAGE |
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This class represents one of two things: |
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=head3 Arguments in a call to a service |
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Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. |
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Each attribute should be used as a named argument in the calls that expect this type of object. |
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As an example, if Att1 is expected to be a Paws::MachineLearning::Prediction object: |
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$service_obj->Method(Att1 => { Details => $value, ..., PredictedValue => $value }); |
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=head3 Results returned from an API call |
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Use accessors for each attribute. If Att1 is expected to be an Paws::MachineLearning::Prediction object: |
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$result = $service_obj->Method(...); |
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$result->Att1->Details |
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=head1 DESCRIPTION |
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The output from a C<Predict> operation: |
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=over |
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=item * |
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C<Details> - Contains the following attributes: |
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C<DetailsAttributes.PREDICTIVE_MODEL_TYPE - REGRESSION | BINARY | |
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MULTICLASS> C<DetailsAttributes.ALGORITHM - SGD> |
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=item * |
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C<PredictedLabel> - Present for either a C<BINARY> or C<MULTICLASS> |
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C<MLModel> request. |
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=item * |
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C<PredictedScores> - Contains the raw classification score |
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corresponding to each label. |
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=item * |
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C<PredictedValue> - Present for a C<REGRESSION> C<MLModel> request. |
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=back |
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=head1 ATTRIBUTES |
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=head2 Details => L<Paws::MachineLearning::DetailsMap> |
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=head2 PredictedLabel => Str |
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The prediction label for either a C<BINARY> or C<MULTICLASS> |
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C<MLModel>. |
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=head2 PredictedScores => L<Paws::MachineLearning::ScoreValuePerLabelMap> |
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=head2 PredictedValue => Num |
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The prediction value for C<REGRESSION> C<MLModel>. |
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=head1 SEE ALSO |
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This class forms part of L<Paws>, describing an object used in L<Paws::MachineLearning> |
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=head1 BUGS and CONTRIBUTIONS |
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The source code is located here: https://github.com/pplu/aws-sdk-perl |
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Please report bugs to: https://github.com/pplu/aws-sdk-perl/issues |
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=cut |
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