Created
February 23, 2018 11:56
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Blogpost-Heineken10
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| def neg_sq_loss(labels, preds): | |
| a = -0.1 | |
| err = preds - labels | |
| grad = 2 * err * (np.sign(err) + a)**2 | |
| hess = 2 * (np.sign(err) + a)**2 | |
| return grad, hess |
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