Package pycv :: Package cs :: Package ml :: Package cla :: Module score :: Class ScoringClassifier

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Class ScoringClassifier

ml.Predictor --+        
               |        
  cla.Classifier --+    
                   |    
cla.BinaryClassifier --+
                       |
                      ScoringClassifier

Known Subclasses:: AdditiveClassifier, TLinearClassifier

Scoring Classifier

A BinaryClassifier that classifies based on scoring the current input point. If the score is >= 0, the point is classified as class 1. Otherwise, it is classified as class 0.

Nested Classes

Inherited from ml.Predictor: EarlyPrediction

Instance Methods

__init__(self)
Initialize a Classifier.

source code

score(self, input_point, *args, **kwds)
Return the score of an input point.

source code

scores(self, input_data, *args, **kwds)
Return an array of scores of an input dataset.

source code

predict(self, input_point, *args, **kwds)
Predict the output class of an input point.

source code

Inherited from cla.Classifier: get_error_rates, test

Method Details

init(self)
(Constructor)

Initialize a Classifier.

Overrides: cla.BinaryClassifier.__init__

score(self, input_point, *args, **kwds)

Return the score of an input point.

Parameters:

input_point (a numpy.array) - an input point

Returns:

val : double: the input point's score

scores(self, input_data, *args, **kwds)

Return an array of scores of an input dataset.

Parameters:

input_data (numpy.array) - an array of input data

Returns:

score_arr : numpy.array: an array of scores of the input data

predict(self, input_point, *args, **kwds)

Predict the output class of an input point.

Overrides: cla.Classifier.predict