Least angle regression (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. |