mvpa2.clfs.glmnetΒΆ

GLM-Net (GLMNET) regression and classifier.

Inheritance diagram of mvpa2.clfs.glmnet

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.
GLMNETWeights(clf[, force_train]) SensitivityAnalyzer that reports the weights GLMNET trained
GLMNET_C(**kwargs) GLM-NET Multinomial Classifier.
GLMNET_R(**kwargs) GLM-NET Gaussian Regression Classifier.
Parameter(default[, constraints, ro, index, ...]) This class shall serve as a representation of a parameter.
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.
GLMNETWeights(clf[, force_train]) SensitivityAnalyzer that reports the weights GLMNET trained
GLMNET_C(**kwargs) GLM-NET Multinomial Classifier.
GLMNET_R(**kwargs) GLM-NET Gaussian Regression Classifier.
Parameter(default[, constraints, ro, index, ...]) This class shall serve as a representation of a parameter.
Sensitivity(clf[, force_train]) Sensitivities of features for a given Classifier.

Next topic

mvpa2.clfs.glmnet.accepts_dataset_as_samples

NeuroDebian

NITRC-listed