Provides clfs dictionary with instances of all available classifiers.
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 | alias of LinearLSKernel |
RandomClassifier(**kwargs) | Dummy classifier deciding on labels absolutely randomly |
RbfCSVMC([C]) | C-SVM classifier using a radial basis function kernel |
RbfNuSVMC([nu]) | Nu-SVM classifier using a radial basis function kernel |
RbfSVMKernel | alias of RbfLSKernel |
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 |
SillySensitivityAnalyzer([mult]) | Simple one which just returns xrange[-N/2, N/2], where N is the |
kNN([k, dfx, voting]) | k-Nearest-Neighbour classifier. |