mvpa2.clfs.larsΒΆ
Least angle regression (LARS).
Functions
BibTeX(\*args, \*\*kwargs) |
Perform no good and no bad |
Doi(\*args, \*\*kwargs) |
Perform no good and no bad |
accepts_dataset_as_samples(fx) |
Decorator to extract samples from Datasets. |
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. |
LARS([model_type, trace, normalize, ...]) |
Least angle regression (LARS). |
LARSWeights(clf[, force_train]) |
SensitivityAnalyzer that reports the weights LARS trained |
Sensitivity(clf[, force_train]) |
Sensitivities of features for a given Classifier. |
Exceptions
Classifier([space]) |
Abstract classifier class to be inherited by all classifiers |
Dataset(samples[, sa, fa, a]) |
Generic storage class for datasets with multiple attributes. |
LARS([model_type, trace, normalize, ...]) |
Least angle regression (LARS). |
LARSWeights(clf[, force_train]) |
SensitivityAnalyzer that reports the weights LARS trained |
Sensitivity(clf[, force_train]) |
Sensitivities of features for a given Classifier. |
