Package nltk :: Package classify :: Module weka :: Class WekaClassifier

type WekaClassifier

     object --+    
              |    
api.ClassifierI --+
                  |
                 WekaClassifier

Instance Methods

[hide private]

__init__(self, formatter, model_filename)

source code

list of ProbDistI

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

list of label

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

_batch_classify(self, featuresets, options)

source code

parse_weka_distribution(self, s)

source code

parse_weka_output(self, lines)

source code

Inherited from api.ClassifierI: classify, labels, prob_classify

Deprecated

Inherited from api.ClassifierI: batch_probdist, probdist

Class Methods

[hide private]

train(cls, model_filename, featuresets, classifier='naivebayes', options=[], quiet=True) source code

Class Variables

[hide private]

_CLASSIFIER_CLASS = {'C4.5': 'weka.classifiers.trees.J48', 'ks...

Method Details

[hide private]

init(self, formatter, model_filename)
(Constructor)

source code

Overrides: object.__init__: (inherited documentation)

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
Overrides: api.ClassifierI.batch_prob_classify: (inherited documentation)

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
Overrides: api.ClassifierI.batch_classify: (inherited documentation)

Class Variable Details

[hide private]

_CLASSIFIER_CLASS

Value:

{'C4.5': 'weka.classifiers.trees.J48',
 'kstar': 'weka.classifiers.lazy.kstar',
 'log_regression': 'weka.classifiers.functions.Logistic',
 'naivebayes': 'weka.classifiers.bayes.NaiveBayes',
 'ripper': 'weka.classifiers.rules.JRip',
 'svm': 'weka.classifiers.functions.SMO'}

type WekaClassifier

__init__(self, formatter, model_filename) (Constructor)

batch_prob_classify(self, featuresets)

batch_classify(self, featuresets)

_CLASSIFIER_CLASS

init(self, formatter, model_filename)
(Constructor)