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gradcheck global diff

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Max Zwiessele 2014-03-05 12:44:53 +00:00
parent cde8722e1b
commit f5e3e97794
1 changed files with 4 additions and 2 deletions
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6
GPy/core/model.py
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@ -298,9 +298,11 @@ class Model(Parameterized):
dx = dx[transformed_index]
gradient = gradient[transformed_index]
global_ratio = (f1 - f2) / (2 * np.dot(dx, np.where(gradient == 0, 1e-32, gradient)))
return (np.abs(1. - global_ratio) < tolerance)
num_grad =(np.abs((f1-f2)/-(2*dx)*np.where(gradient == 0, 1e-32, gradient))).mean()
return (np.abs(1. - global_ratio) < tolerance) or (num_grad < tolerance)
else:
# check the gradient of each parameter individually, and do some pretty printing
try: