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Polynomial kernel gradients wrt X working.
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8 changed files with 79 additions and 26 deletions
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@ -61,6 +61,8 @@ def SCG(f, gradf, x, optargs=(), maxiters=500, max_f_eval=np.inf, display=True,
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function_eval = 1
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fnow = fold
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gradnew = gradf(x, *optargs) # Initial gradient.
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if any(np.isnan(gradnew)):
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raise UnexpectedInfOrNan
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current_grad = np.dot(gradnew, gradnew)
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gradold = gradnew.copy()
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d = -gradnew # Initial search direction.
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