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. |
