Created
July 4, 2016 10:32
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from __future__ import division | |
import scipy.sparse as sp | |
from scipy.sparse.linalg import norm | |
def cosine_distance(vec1, vec2): | |
norm1 = norm(vec1) | |
norm2 = norm(vec2) | |
return vec1.multiply(vec2).sum() / (norm1 * norm2) | |
def jaccard_index(vec1, vec2): | |
bool_vec1 = (vec1 > 0).astype(int) | |
bool_vec2 = (vec2 > 0).astype(int) | |
intersect = bool_vec1.multiply(bool_vec2).sum() | |
return intersect / (bool_vec1.sum() + bool_vec2.sum() - intersect) | |
def generalized_jaccard(vec1, vec2): | |
return vec1.minimum(vec2).sum() / vec1.maximum(vec2).sum() |
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