Package mvpa :: Package clfs :: Module meta

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# Module meta

source code

Classes for meta classifiers -- classifiers which use other classifiers

Meta Classifiers can be grouped according to their function as

Classes | [hide private]

| BoostedClassifier Classifier containing the farm of other classifiers.
| ClassifierCombiner Provides a decision using training a classifier on predictions/values
| TreeClassifier TreeClassifier which allows to create hierarchy of classifiers
BoostedClassifiers
| CombinedClassifier BoostedClassifier which combines predictions using some PredictionsCombiner functor.
| MulticlassClassifier CombinedClassifier to perform multiclass using a list of BinaryClassifier.
| SplitClassifier BoostedClassifier to work on splits of the data
ProxyClassifiers
| ProxyClassifier Classifier which decorates another classifier
| BinaryClassifier ProxyClassifier which maps set of two labels into +1 and -1
| MappedClassifier ProxyClassifier which uses some mapper prior training/testing.
| FeatureSelectionClassifier ProxyClassifier which uses some FeatureSelection prior training.
PredictionsCombiners for CombinedClassifier
| PredictionsCombiner Base class for combining decisions of multiple classifiers
| MaximalVote Provides a decision using maximal vote rule
| MeanPrediction Provides a decision by taking mean of the results

Imports: operator, N, group_kwargs, MaskMapper, NFoldSplitter, StateVariable, ClassWithCollections, Harvestable, Classifier, FirstAxisMean, BoostedClassifierSensitivityAnalyzer, ProxyClassifierSensitivityAnalyzer, MappedClassifierSensitivityAnalyzer, FeatureSelectionClassifierSensitivityAnalyzer, warning, debug