Package PyML :: Package classifiers :: Module composite :: Class FeatureSelectAll
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Class FeatureSelectAll

source code

base.pymlObject.PyMLobject --+        
                             |        
    baseClassifiers.Classifier --+    
                                 |    
baseClassifiers.IteratorClassifier --+
                                     |
                                    FeatureSelectAll

A method for combining a feature selector and classifier; the difference from FeatureSelect is that it is specifically designed for computing the accuracy while varying the number of features.
Nested Classes
    Inherited from baseClassifiers.Classifier
  resultsObject
Instance Methods
 
__init__(self, arg1, arg2=None) source code
 
train(self, data, **args) source code
    Inherited from baseClassifiers.IteratorClassifier
 
__iter__(self) source code
 
cv(self, data, **args)
perform k-fold cross validation
source code
 
getClassifier(self) source code
 
loo(self, data, **args)
perform Leave One Out
source code
 
next(self) source code
 
stratifiedCV(self, data, **args)
perform k-fold stratified cross-validation; in each fold the number of patterns from each class is proportional to the relative fraction of the class in the dataset
source code
 
test(self, data, **args)
test a classifier on a given dataset
source code
    Inherited from baseClassifiers.Classifier
 
__repr__(self) source code
 
classify(self, data, i) source code
 
getTrainingTime(self) source code
 
logger(self) source code
 
nCV(classifier, data, **args)
runs CV n times, returning a 'ResultsList' object.
source code
 
project(self, data)
project a test dataset to the training data features.
source code
 
save(self, fileHandle) source code
 
trainFinalize(self) source code
 
trainTest(classifierTemplate, data, trainingPatterns, testingPatterns, **args)
Train a classifier on the list of training patterns, and test it on the test patterns
source code
 
twoClassClassify(self, data, i) source code
Class Variables
  deepcopy = True
    Inherited from baseClassifiers.Classifier
  type = 'classifier'
Method Details

__init__(self, arg1, arg2=None)
(Constructor)

source code 
Overrides: baseClassifiers.Classifier.__init__

train(self, data, **args)

source code 
Overrides: baseClassifiers.Classifier.train