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.measures.noiseperturbation

This is a FeaturewiseMeasure that uses a scalar Measure and selective noise perturbation to compute a sensitivity map.

Functions

deepcopy(x[, memo, _nil])

Deep copy operation on arbitrary Python objects.

Classes

Dataset(samples[, sa, fa, a])	Generic storage class for datasets with multiple attributes.
FeaturewiseMeasure([null_dist])	A per-feature-measure computed from a Dataset (base class).
NoisePerturbationSensitivity(datameasure[, ...])	Sensitivity based on the effect of noise perturbation on a measure.