mvpa2.measures.noiseperturbationΒΆ

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

Inheritance diagram of mvpa2.measures.noiseperturbation

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[, 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.

NeuroDebian

NITRC-listed