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mvpa.clfs.stats.Nonparametric

class mvpa.clfs.stats.Nonparametric(dist_samples, correction='clip')

Non-parametric 1d distribution – derives cdf based on stored values.

Introduced to complement parametric distributions present in scipy.stats.

Parameters :

dist_samples : ndarray

Samples to be used to assess the distribution.

correction : {‘clip’} or None, optional

Determines the behavior when .cdf is queried. If None – no correction is made. If ‘clip’ – values are clipped to lie in the range [1/(N+2), (N+1)/(N+2)] (simply because non-parametric assessment lacks the power to resolve with higher precision in the tails, so ‘imagery’ samples are placed in each of the two tails).

cdf(x)

Returns the cdf value at x.

static fit(dist_samples)