mvpa.clfs._svmbase: Common to all SVM implementations functionality. For internal use only
mvpa.clfs.blr: Bayesian Linear Regression (BLR).
mvpa.clfs.gpr: Gaussian Process Regression (GPR).
mvpa.clfs.knn: k-Nearest-Neighbour classifier.
mvpa.clfs.libsmlrc: Wraper for the stepwise_regression function for SMLR.
- mvpa.clfs.libsmlrc.ctypes_helper: Helpers for wrapping C libraries with ctypes.
mvpa.clfs.plr: Penalized logistic regression classifier.
mvpa.clfs.ridge: Ridge regression classifier.
mvpa.clfs.smlr: Sparse Multinomial Logistic Regression classifier.
mvpa.clfs.svm: Importer for the available SVM and SVR machines.

External Interfaces

mvpa.clfs.lars: Least angle regression (LARS) classifier.
mvpa.clfs.libsvmc: Classifiers provied by LibSVM library
- mvpa.clfs.libsvmc._svm: Python interface to the SWIG-wrapped libsvm
- mvpa.clfs.libsvmc.sens: Provide sensitivity measures for libsvm's SVM.
- mvpa.clfs.libsvmc.svm: Wrap the libsvm package into a very simple class interface.
- mvpa.clfs.libsvmc.svmc
mvpa.clfs.sg: Classifiers provied by shogun (sg) library
- mvpa.clfs.sg.sens: Provide sensitivity measures for sg's SVM.
- mvpa.clfs.sg.svm: Wrap the libsvm package into a very simple class interface.

Utilities

mvpa.clfs.distance: Distance functions to be used in kernels and elsewhere
mvpa.clfs.kernel: Kernels for Gaussian Process Regression and Classification.
mvpa.clfs.model_selector: Model selction.
mvpa.clfs.stats: Estimator for classifier error distributions.
mvpa.clfs.transerror: Utility class to compute the transfer error of classifiers.

Warehouse of Classifiers

Imports: debug

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