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Base classes for all classifiers.
Base Classifiers can be grouped according to their function as
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ClassifierCombiner Provides a decision using training a classifier on predictions/values |
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| Basic Classifiers | |||
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Classifier Abstract classifier class to be inherited by all classifiers |
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BoostedClassifier Classifier containing the farm of other classifiers. |
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ProxyClassifier Classifier which decorates another classifier |
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CombinedClassifier BoostedClassifier which combines predictions using some PredictionsCombiner functor. |
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MulticlassClassifier CombinedClassifier to perform multiclass using a list of BinaryClassifier. |
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SplitClassifier BoostedClassifier to work on splits of the data |
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BinaryClassifier ProxyClassifier which maps set of two labels into +1 and -1 |
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MappedClassifier ProxyClassifier which uses some mapper prior training/testing. |
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FeatureSelectionClassifier ProxyClassifier which uses some FeatureSelection prior training. |
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| PredictionsCombiners for CombinedClassifier | |||
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PredictionsCombiner Base class for combining decisions of multiple classifiers |
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MaximalVote Provides a decision using maximal vote rule |
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Imports: operator, sys, N, deepcopy, Set, time, MaskMapper, NFoldSplitter, StateVariable, Stateful, Harvestable, ConfusionMatrix, BoostedClassifierSensitivityAnalyzer, ProxyClassifierSensitivityAnalyzer, warning, traceback, debug
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Deepcopying of a classifier. If deepcopy fails -- tries to untrain it first so that there is no swig bindings attached |
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