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parameter missin in dL_dthetaL added
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@ -49,6 +49,6 @@ class ExactGaussianInference(object):
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dL_dK = 0.5 * (tdot(alpha) - Y.shape[1] * Wi)
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dL_dthetaL = likelihood.exact_inference_gradients(np.diag(dL_dK))
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dL_dthetaL = likelihood.exact_inference_gradients(np.diag(dL_dK),Y_metadata)
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return Posterior(woodbury_chol=LW, woodbury_vector=alpha, K=K), log_marginal, {'dL_dK':dL_dK, 'dL_dthetaL':dL_dthetaL}
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