mvpa2.clfs.enetΒΆ
Elastic-Net (ENET) regression classifier.
Functions
accepts_dataset_as_samples(fx) |
Decorator to extract samples from Datasets. |
Classes
Classifier([space]) |
Abstract classifier class to be inherited by all classifiers |
ENET([lm, trace, normalize, intercept, ...]) |
Elastic-Net regression (ENET) Classifier. |
ENETWeights(clf[, force_train]) |
SensitivityAnalyzer that reports the weights ENET trained |
Sensitivity(clf[, force_train]) |
Sensitivities of features for a given Classifier. |
Exceptions
Classifier([space]) |
Abstract classifier class to be inherited by all classifiers |
ENET([lm, trace, normalize, intercept, ...]) |
Elastic-Net regression (ENET) Classifier. |
ENETWeights(clf[, force_train]) |
SensitivityAnalyzer that reports the weights ENET trained |
Sensitivity(clf[, force_train]) |
Sensitivities of features for a given Classifier. |
