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import numpy as np | |
import multiprocessing | |
from joblib import Parallel, delayed | |
from scipy.spatial.distance import pdist, squareform | |
def _dcorr(y, n2, A, dcov2_xx): | |
"""Helper function for distance correlation bootstrapping. | |
""" | |
# Pairwise Euclidean distances | |
b = squareform(pdist(y, metric='euclidean')) |
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''' | |
Non-parametric computation of entropy and mutual-information | |
Adapted by G Varoquaux for code created by R Brette, itself | |
from several papers (see in the code). | |
These computations rely on nearest-neighbor statistics | |
''' | |
import numpy as np |