From ca34f1a27320b104cc618dcf9f8317a52b920af8 Mon Sep 17 00:00:00 2001 From: Ricardo Andrade Date: Thu, 26 Nov 2015 18:45:09 +0000 Subject: [PATCH] bug fixed ICM-RBF is used as default Kernel, but the user should be able to define a multiple output kernel outside and pass it to the model. --- GPy/models/sparse_gp_coregionalized_regression.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/GPy/models/sparse_gp_coregionalized_regression.py b/GPy/models/sparse_gp_coregionalized_regression.py index 207bc665..2997993e 100644 --- a/GPy/models/sparse_gp_coregionalized_regression.py +++ b/GPy/models/sparse_gp_coregionalized_regression.py @@ -44,7 +44,7 @@ class SparseGPCoregionalizedRegression(SparseGP): if kernel is None: kernel = kern.RBF(X.shape[1]-1) - kernel = util.multioutput.ICM(input_dim=X.shape[1]-1, num_outputs=Ny, kernel=kernel, W_rank=1,name=kernel_name) + kernel = util.multioutput.ICM(input_dim=X.shape[1]-1, num_outputs=Ny, kernel=kernel, W_rank=1,name=kernel_name) #Likelihood likelihood = util.multioutput.build_likelihood(Y_list,self.output_index,likelihoods_list)