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(**kwargs)	A per-feature-measure computed from a Dataset (base class).
NoisePerturbationSensitivity(datameasure[, ...])	Sensitivity based on the effect of noise perturbation on a measure.