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Fixed Alans checkgrad bug
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1 changed files with 1 additions and 1 deletions
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@ -458,7 +458,7 @@ class Model(Parameterized):
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numerical_gradient = (f1 - f2) / (2 * dx)
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numerical_gradient = (f1 - f2) / (2 * dx)
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global_ratio = (f1 - f2) / (2 * np.dot(dx, gradient))
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global_ratio = (f1 - f2) / (2 * np.dot(dx, gradient))
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return (np.abs(1. - global_ratio) < tolerance) or (np.abs(gradient - numerical_gradient).mean() - 1) < tolerance
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return (np.abs(1. - global_ratio) < tolerance) or (np.abs(gradient - numerical_gradient).mean() < tolerance)
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else:
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else:
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# check the gradient of each parameter individually, and do some pretty printing
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# check the gradient of each parameter individually, and do some pretty printing
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try:
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try:
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