mvpa2.clfs.distance.pnorm_w

mvpa2.clfs.distance.pnorm_w(data1, data2=None, weight=None, p=2)

Weighted p-norm between two datasets (scipy.weave implementation)

||x - x’||_w = (sum_{i=1...N} (w_i*|x_i - x’_i|)**p)**(1/p)

Parameters:

data1 : np.ndarray

First dataset

data2 : np.ndarray or None

Optional second dataset

weight : np.ndarray or None

Optional weights per 2nd dimension (features)

p :

Power