c86981a110f57e19b6841da89c0f1aa6e6a9d317,GPy/examples/regression.py,,olympic_marathon_men,#Any#Any#,225
Before Change
m["rbf_lengthscale" ] = 10
m.optimize(max_iters=max_iters)
m.plot(plot_limits=(1850 , 2050 ))
print(m)
return m
def toy_rbf_1d (optimizer="tnc" , max_nb_eval_optim=100 ) :
Run a simple demonstration of a standard Gaussian process fitting it to data sampled from an RBF covariance.
After Change
m["rbf_lengthscale" ] = 10
if optimize:
m.optimize("bfgs" , max_iters=200 )
if plot:
m.plot(plot_limits=(1850 , 2050 ))
return m
def coregionalization_toy2 (optimize=True, plot=True) :
In pattern: SUPERPATTERN
Frequency: 4
Non-data size: 7
Instances Project Name: SheffieldML/GPy
Commit Name: c86981a110f57e19b6841da89c0f1aa6e6a9d317
Time: 2013-11-27
Author: james.hensman@gmail.com
File Name: GPy/examples/regression.py
Class Name:
Method Name: olympic_marathon_men
Project Name: SheffieldML/GPy
Commit Name: c86981a110f57e19b6841da89c0f1aa6e6a9d317
Time: 2013-11-27
Author: james.hensman@gmail.com
File Name: GPy/examples/regression.py
Class Name:
Method Name: toy_rbf_1d
Project Name: SheffieldML/GPy
Commit Name: c86981a110f57e19b6841da89c0f1aa6e6a9d317
Time: 2013-11-27
Author: james.hensman@gmail.com
File Name: GPy/examples/regression.py
Class Name:
Method Name: olympic_100m_men
Project Name: SheffieldML/GPy
Commit Name: c86981a110f57e19b6841da89c0f1aa6e6a9d317
Time: 2013-11-27
Author: james.hensman@gmail.com
File Name: GPy/examples/regression.py
Class Name:
Method Name: toy_poisson_rbf_1d
Project Name: SheffieldML/GPy
Commit Name: c86981a110f57e19b6841da89c0f1aa6e6a9d317
Time: 2013-11-27
Author: james.hensman@gmail.com
File Name: GPy/examples/regression.py
Class Name:
Method Name: olympic_marathon_men