mvpa2.testing.clfsΒΆ

Provides clfs dictionary with instances of all available classifiers.

Inheritance diagram of mvpa2.testing.clfs

Functions

accepts_dataset_as_samples(fx) Decorator to extract samples from Datasets.

Classes

Classifier([space]) Abstract classifier class to be inherited by all classifiers ..
Dataset(samples[, sa, fa, a]) Generic storage class for datasets with multiple attributes.
FeaturewiseMeasure([null_dist]) A per-feature-measure computed from a Dataset (base class).
Less1Classifier(**kwargs) Dummy classifier which reports +1 class if abs value of max less than 1 ..
LinearCSVMC([C]) C-SVM classifier using linear kernel.
LinearNuSVMC([nu]) Nu-SVM classifier using linear kernel.
LinearSVMKernel A simple Linear kernel: K(a,b) = a*b.T
RbfCSVMC([C]) C-SVM classifier using a radial basis function kernel
RbfNuSVMC([nu]) Nu-SVM classifier using a radial basis function kernel
RbfSVMKernel Radial Basis Function kernel (aka Gaussian):
SMLR(**kwargs) Sparse Multinomial Logistic Regression Classifier.
SVM(**kwargs) Support Vector Machine Classifier.
SameSignClassifier(**kwargs) Dummy classifier which reports +1 class if both features have the same sign, -1 otherwise ..
SillySensitivityAnalyzer([mult]) Simple one which just returns xrange[-N/2, N/2], where N is the
kNN([k, dfx, voting]) k-Nearest-Neighbour classifier.

NeuroDebian

NITRC-listed