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Ricardo 2013-09-13 12:28:04 +01:00
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GPy/models/sparse_gp_regression.py
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@ -20,7 +20,11 @@ class SparseGPRegression(SparseGP):
:type normalize_X: False|True :type normalize_X: False|True
:param normalize_Y: whether to normalize the input data before computing (predictions will be in original scales) :param normalize_Y: whether to normalize the input data before computing (predictions will be in original scales)
:type normalize_Y: False|True :type normalize_Y: False|True
:param Z: inducing inputs (optional, see note)
:type Z: np.ndarray (num_inducing x input_dim) | None
:rtype: model object :rtype: model object
:param X_variance: The uncertainty in the measurements of X (Gaussian variance)
:type X_variance: np.ndarray (num_data x input_dim) | None
.. Note:: Multiple independent outputs are allowed using columns of Y .. Note:: Multiple independent outputs are allowed using columns of Y