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more gradient based tomfoolery
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4 changed files with 4 additions and 6 deletions
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@ -49,7 +49,7 @@ class ExactGaussianInference(object):
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dL_dK = 0.5 * (tdot(alpha) - Y.shape[1] * Wi)
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kern.update_gradients_full(dL_dK)
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kern.update_gradients_full(dL_dK, X)
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likelihood.update_gradients(np.diag(dL_dK))
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