Package PyML :: Package classifiers :: Module multi :: Class OneAgainstRest
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Class OneAgainstRest

source code

base.pymlObject.PyMLobject --+        
                             |        
    baseClassifiers.Classifier --+    
                                 |    
     composite.CompositeClassifier --+
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                                    OneAgainstRest

A one-against-the-rest multi-class classifier
Nested Classes
    Inherited from baseClassifiers.Classifier
  resultsObject
Instance Methods
 
train(self, data, **args)
train k classifiers
source code
 
classify(self, data, i) source code
 
preproject(self, data) source code
 
test(classifier, data, **args)
test a classifier on a given dataset
source code
    Inherited from composite.CompositeClassifier
 
__init__(self, classifier, **args) source code
 
__repr__(self) source code
 
decisionFunc(self, data, i) source code
 
getTest(self) source code
 
setTest(self) source code
    Inherited from baseClassifiers.Classifier
 
cv(classifier, data, numFolds=5, **args)
perform k-fold cross validation
source code
 
getTrainingTime(self) source code
 
logger(self) source code
 
loo(classifier, data, **args)
perform Leave One Out
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
 
stratifiedCV(classifier, data, numFolds=5, **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
 
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
    Inherited from composite.CompositeClassifier
  deepcopy = True
    Inherited from baseClassifiers.Classifier
  type = 'classifier'
Method Details

train(self, data, **args)

source code 
train k classifiers
Overrides: baseClassifiers.Classifier.train

classify(self, data, i)

source code 
Overrides: baseClassifiers.Classifier.classify

preproject(self, data)

source code 
Overrides: composite.CompositeClassifier.preproject

test(classifier, data, **args)

source code 
test a classifier on a given dataset
Parameters:
  • classifier - a trained classifier
  • data - a dataset
  • stats - whether to compute the statistics of the match between the predicted labels and the given labels [True by default]
Returns:
a Results class instance
Overrides: evaluators.assess.test