Provides clfs dictionary with instances of all available classifiers.
Functions
accepts_dataset_as_samples(fx) | Decorator to extract samples from Datasets. |
Classes
Classifier(**kwargs[, space]) | Abstract classifier class to be inherited by all classifiers .. |
Dataset(samples[, sa, fa, a]) | Generic storage class for datasets with multiple attributes. |
FeaturewiseMeasure(**kwargs[, 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(**kwargs[, C]) | C-SVM classifier using linear kernel. |
LinearNuSVMC(**kwargs[, nu]) | Nu-SVM classifier using linear kernel. |
LinearSVMKernel | A simple Linear kernel: K(a,b) = a*b.T |
RbfCSVMC(**kwargs[, C]) | C-SVM classifier using a radial basis function kernel |
RbfNuSVMC(**kwargs[, 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(**kwargs[, mult]) | Simple one which just returns xrange[-N/2, N/2], where N is the |
kNN(**kwargs[, k, dfx, voting]) | k-Nearest-Neighbour classifier. |