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def pairwise_dist (A, B): | |
""" | |
Computes pairwise distances between each elements of A and each elements of B. | |
Args: | |
A, [m,d] matrix | |
B, [n,d] matrix | |
Returns: | |
D, [m,n] matrix of pairwise distances |
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""" | |
A bare bones examples of optimizing a black-box function (f) using | |
Natural Evolution Strategies (NES), where the parameter distribution is a | |
gaussian of fixed standard deviation. | |
""" | |
import numpy as np | |
np.random.seed(0) | |
# the function we want to optimize |