To provide the most recent news and documentation www.pymvpa.org reflects the development 2.0 series (renamed 0.6 series) of PyMVPA. If you are interested in the documentation of the previous stable 0.4 series of PyMVPA, please visit v04.pymvpa.org.

mvpa2.clfs.blr

Bayesian Linear Regression (BLR).

Functions

accepts_dataset_as_samples(fx)

Decorator to extract samples from Datasets.

Classes

BLR([sigma_p, sigma_noise])	Bayesian Linear Regression (BLR).
Classifier([space])	Abstract classifier class to be inherited by all classifiers ..
ConditionalAttribute([enabled])	Simple container intended to conditionally store the value