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authorDavid Luevano <55825613+luevano@users.noreply.github.com>2019-12-08 21:54:19 -0700
committerDavid Luevano <55825613+luevano@users.noreply.github.com>2019-12-08 21:54:19 -0700
commit7c8b391dddd65ff58417df80dfc79cadddf4f4e6 (patch)
tree0bad908f5b40848addc3307de4307b1dae4c6e7e /gauss_kernel.py
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+import math
+import numpy as np
+from frob_norm import frob_norm
+
+
+def gauss_kernel(X_1, X_2, sigma):
+ """
+ Calculates the Gaussian Kernel.
+ X_1: first representations.
+ X_2: second representations.
+ sigma: kernel width.
+ """
+ x1_l = len(X_1)
+ x1_range = range(x1_l)
+ x2_l = len(X_2)
+ x2_range = range(x2_l)
+
+ inv_sigma = -0.5 / (sigma*sigma)
+
+ K = np.zeros((x1_l, x2_l))
+ for i in x1_range:
+ for j in x2_range:
+ f_norm = frob_norm(X_1[i] - X_2[j])
+ # print(f_norm)
+ K[i, j] = math.exp(inv_sigma * f_norm)
+
+ return K