mvpa2.clfs.larsΒΆ

Least angle regression (LARS).

Inheritance diagram of mvpa2.clfs.lars

Functions

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.

Next topic

mvpa2.clfs.lars.accepts_dataset_as_samples

NeuroDebian

NITRC-listed