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mvpa2.clfs.smlrΒΆ
Sparse Multinomial Logistic 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 .. |
| ConditionalAttribute([enabled]) | Simple container intended to conditionally store the value |
| Dataset(samples[, sa, fa, a]) | Generic storage class for datasets with multiple attributes. |
| Parameter(default[, ro, index, value, name, doc]) | This class shall serve as a representation of a parameter. |
| SMLR(**kwargs) | Sparse Multinomial Logistic Regression Classifier. |
| SMLRWeights(clf[, force_train]) | SensitivityAnalyzer that reports the weights SMLR trained |
| Sensitivity(clf[, force_train]) | Sensitivities of features for a given Classifier. |
Exceptions
| Classifier([space]) | Abstract classifier class to be inherited by all classifiers .. |
| ConditionalAttribute([enabled]) | Simple container intended to conditionally store the value |
| Dataset(samples[, sa, fa, a]) | Generic storage class for datasets with multiple attributes. |
| Parameter(default[, ro, index, value, name, doc]) | This class shall serve as a representation of a parameter. |
| SMLR(**kwargs) | Sparse Multinomial Logistic Regression Classifier. |
| SMLRWeights(clf[, force_train]) | SensitivityAnalyzer that reports the weights SMLR trained |
| Sensitivity(clf[, force_train]) | Sensitivities of features for a given Classifier. |
