c86981a110f57e19b6841da89c0f1aa6e6a9d317,GPy/examples/regression.py,,olympic_marathon_men,#Any#Any#,225
Before Change
m["rbf_lengthscale"] = 10
// optimize
m.optimize(max_iters=max_iters)
// plot
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
// set the lengthscale to be something sensible (defaults to 1)
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