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):
    
Italian Trulli
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