Paws::Comprehend::EntityTypesEvaluationMetrics
This class represents one of two things:
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::Comprehend::EntityTypesEvaluationMetrics object:
$service_obj->Method(Att1 => { F1Score => $value, ..., Recall => $value });
Use accessors for each attribute. If Att1 is expected to be an Paws::Comprehend::EntityTypesEvaluationMetrics object:
$result = $service_obj->Method(...); $result->Att1->F1Score
Detailed information about the accuracy of an entity recognizer for a specific entity type.
A measure of how accurate the recognizer results are for a specific entity type in the test data. It is derived from the Precision and Recall values. The F1Score is the harmonic average of the two scores. The highest score is 1, and the worst score is 0.
Precision
Recall
F1Score
A measure of the usefulness of the recognizer results for a specific entity type in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones.
A measure of how complete the recognizer results are for a specific entity type in the test data. High recall means that the recognizer returned most of the relevant results.
This class forms part of Paws, describing an object used in Paws::Comprehend
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
To install Paws, copy and paste the appropriate command in to your terminal.
cpanm
cpanm Paws
CPAN shell
perl -MCPAN -e shell install Paws
For more information on module installation, please visit the detailed CPAN module installation guide.