Sparse Multinomial Logistic Regression classifier.
Functions
accepts_dataset_as_samples(fx) | Decorator to extract samples from Datasets. |
Classes
Classifier(**kwargs[, space]) | Abstract classifier class to be inherited by all classifiers .. |
ConditionalAttribute(*args, **kwargs[, enabled]) | Simple container intended to conditionally store the value |
Dataset(samples[, sa, fa, a]) | Generic storage class for datasets with multiple attributes. |
Parameter(default, **kwargs[, ro, index, ...]) | This class shall serve as a representation of a parameter. |
SMLR(**kwargs) | Sparse Multinomial Logistic Regression Classifier. |
SMLRWeights(clf, **kwargs[, force_train]) | SensitivityAnalyzer that reports the weights SMLR trained |
Sensitivity(clf, **kwargs[, force_train]) | Sensitivities of features for a given Classifier. |
Exceptions
Classifier(**kwargs[, space]) | Abstract classifier class to be inherited by all classifiers .. |
ConditionalAttribute(*args, **kwargs[, enabled]) | Simple container intended to conditionally store the value |
Dataset(samples[, sa, fa, a]) | Generic storage class for datasets with multiple attributes. |
Parameter(default, **kwargs[, ro, index, ...]) | This class shall serve as a representation of a parameter. |
SMLR(**kwargs) | Sparse Multinomial Logistic Regression Classifier. |
SMLRWeights(clf, **kwargs[, force_train]) | SensitivityAnalyzer that reports the weights SMLR trained |
Sensitivity(clf, **kwargs[, force_train]) | Sensitivities of features for a given Classifier. |