A composite classifier has an attribute called "classifier", and by default
requests are forwarded to the appropriate function of the classifier
(including the "test" function).
For logging purposes, use the log attribute of the classifier rather
than the composite log.
See for example the FeatureSelect object.
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cv(classifier,
data,
numFolds=5,
**args)
perform k-fold cross validation |
source code
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nCV(classifier,
data,
**args)
runs CV n times, returning a 'ResultsList' object. |
source code
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project(self,
data)
project a test dataset to the training data features. |
source code
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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
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trainTest(classifierTemplate,
data,
trainingPatterns,
testingPatterns,
**args)
Train a classifier on the list of training patterns, and test it
on the test patterns |
source code
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