4c7ebb6601d11bacd7a68db1c89c86dcca215077,GPy/models/gp_multioutput.py,GPMultioutput,__init__,#GPMultioutput#Any#Any#Any#Any#Any#Any#Any#,32
Before Change
original_dim = X.shape[1]-1
kernel_list = [kern.rbf(original_dim) + kern.white(original_dim)]
mkernel = kernel_list[0].prod(kern.coregionalise(len(X_list),W),tensor=True)
for k in kernel_list[1:]:
mkernel += k.prod(kern.coregionalise(len(X_list),W),tensor=True)
self.multioutput = True
GP.__init__(self, X, likelihood, mkernel, normalize_X=normalize_X)
After Change
else:
assert len(Y_list) == len(mixed_noise_list)
for noise,Y in zip(mixed_noise_list,Y_list):
self.likelihood_list.append(likelihoods.EP(Y,noise))
likelihood = likelihoods.EP_Mixed_Noise(Y_list, mixed_noise_list)
X = np.hstack([np.vstack(X_list),index])
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 4
Instances
Project Name: SheffieldML/GPy
Commit Name: 4c7ebb6601d11bacd7a68db1c89c86dcca215077
Time: 2013-08-02
Author: acq11ra@sheffield.ac.uk
File Name: GPy/models/gp_multioutput.py
Class Name: GPMultioutput
Method Name: __init__
Project Name: rwth-i6/returnn-experiments
Commit Name: a21861f99e3dc4b778fd776b3e8e00dbaee988ca
Time: 2021-03-27
Author: albzey@gmail.com
File Name: common/models/encoder/blstm_cnn_specaug.py
Class Name:
Method Name: make_net
Project Name: scikit-image/scikit-image
Commit Name: 13df5b1a4687c48abf3cdc1894b100936d7e8f0a
Time: 2019-11-12
Author: r.fezzani@vitadx.com
File Name: skimage/measure/tests/test_marching_cubes.py
Class Name:
Method Name: test_both_algs_same_result_donut