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development 2.0 series (renamed 0.6 series) of PyMVPA. If you are interested in the
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mvpa2.testing.clfsΒΆ
Provides clfs dictionary with instances of all available classifiers.
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. |
