NlpTools\Classifiers\FeatureBasedLinearClassifier

class FeatureBasedLinearClassifier implements ClassifierInterface

Classify using a linear model.

A model that assigns a weight l for
each feature f.

Methods

	__construct(FeatureFactoryInterface $ff, LinearModel $m)
string	classify(array $classes, DocumentInterface $d) Compute the vote for every class.
float	getVote(string $class, DocumentInterface $d) Compute the features that fire for the Document $d.

FeatureFactoryInterface	$ff
LinearModel	$m

Compute the vote for every class.

Return the class that
receive the maximum vote.

array	$classes	A set of classes
DocumentInterface	$d	A Document

string

A class

Compute the features that fire for the Document $d.

The sum of
the weights of the features is the vote.

string	$class	The vote for class $class
DocumentInterface	$d	The vote for Document $d

float

The vote of the model for class $class and Document $d