mvpa2.clfs.plrΒΆ
Penalized logistic regression classifier.
Functions
accepts_dataset_as_samples(fx) |
Decorator to extract samples from Datasets. |
asobjarray(x) |
Generates numpy.ndarray with dtype object from an iterable |
Classes
Classifier([space]) |
Abstract classifier class to be inherited by all classifiers |
ConditionalAttribute([enabled]) |
Simple container intended to conditionally store the value |
Dataset(samples[, sa, fa, a]) |
Generic storage class for datasets with multiple attributes. |
PLR([lm, criterion, reduced, maxiter]) |
Penalized logistic regression Classifier. |
PLRWeights(clf[, force_train]) |
Sensitivity reporting linear weights of PLR |
Sensitivity(clf[, force_train]) |
Sensitivities of features for a given Classifier. |
Exceptions
Classifier([space]) |
Abstract classifier class to be inherited by all classifiers |
ConditionalAttribute([enabled]) |
Simple container intended to conditionally store the value |
Dataset(samples[, sa, fa, a]) |
Generic storage class for datasets with multiple attributes. |
PLR([lm, criterion, reduced, maxiter]) |
Penalized logistic regression Classifier. |
PLRWeights(clf[, force_train]) |
Sensitivity reporting linear weights of PLR |
Sensitivity(clf[, force_train]) |
Sensitivities of features for a given Classifier. |
