Package nltk :: Package classify :: Module api :: Class ClassifierI

type ClassifierI

object --+
         |
        ClassifierI

Known Subclasses:

A processing interface for labeling tokens with a single category label (or class). Labels are typically strings or integers, but can be any immutable type. The set of labels that the classifier chooses from must be fixed and finite.

Subclasses must define:

labels()
either classify() or batch_classify() (or both)

Subclasses may define:

either prob_classify() or batch_prob_classify() (or both)

Instance Methods

[hide private]

list of (immutable)

labels(self)
Returns: the list of category labels used by this classifier.

source code

label

classify(self, featureset)
Returns: the most appropriate label for the given featureset.

source code

ProbDistI

prob_classify(self, featureset)
Returns: a probability distribution over labels for the given featureset.

source code

list of label

batch_classify(self, featuresets)
Apply self.classify() to each element of featuresets. source code

list of ProbDistI

batch_prob_classify(self, featuresets)
Apply self.prob_classify() to each element of featuresets. source code

Deprecated

batch_probdist(self, featuresets)

probdist(self, featureset)

Method Details

[hide private]

labels(self)

source code

Returns: list of (immutable): the list of category labels used by this classifier.

classify(self, featureset)

source code

Returns: label: the most appropriate label for the given featureset.

prob_classify(self, featureset)

source code

Returns: ProbDistI: a probability distribution over labels for the given featureset.

batch_classify(self, featuresets)

source code

Apply self.classify() to each element of featuresets. I.e.:

>>> return [self.classify(fs) for fs in featuresets]

Returns: list of label

batch_prob_classify(self, featuresets)

source code

Apply self.prob_classify() to each element of featuresets. I.e.:

>>> return [self.prob_classify(fs) for fs in featuresets]

Returns: list of ProbDistI

batch_probdist(self, featuresets)

Decorators:

@deprecated("Use .batch_prob_classify() instead.")

probdist(self, featureset)

Decorators:

@deprecated("Use .prob_classify() instead.")