mvpa2.clfs.plrΒΆ

Penalized logistic regression classifier.

Inheritance diagram of mvpa2.clfs.plr

Functions

accepts_dataset_as_samples(fx) Decorator to extract samples from Datasets.
asobjarray(x) Generates numpy.ndarray with dtype object from an iterable

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.
PLR(**kwargs[, lm, criterion, reduced, maxiter]) Penalized logistic regression Classifier.
PLRWeights(clf, **kwargs[, force_train]) Sensitivity reporting linear weights of PLR
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.
PLR(**kwargs[, lm, criterion, reduced, maxiter]) Penalized logistic regression Classifier.
PLRWeights(clf, **kwargs[, force_train]) Sensitivity reporting linear weights of PLR
Sensitivity(clf, **kwargs[, force_train]) Sensitivities of features for a given Classifier.

NeuroDebian

NITRC-listed