57caf0454955b0f2eebd91605946052a1c42a530,skopt/optimizer/gp.py,,gp_minimize,#,16

Before Change


        else:
            other_kernel = Matern(
                length_scale=np.ones(space.transformed_n_dims),
                length_scale_bounds=[(0.01, 100)] * space.transformed_n_dims,
                nu=2.5)

    base_estimator = GaussianProcessRegressor(

After Change


                    )

    space = Space(transformed_dims)
    base_estimator = cook_estimator("GP", space=space, random_state=rng, noise=noise)

    return base_minimize(
        func, dimensions, base_estimator=base_estimator,
        acq_func=acq_func,
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 3

Instances


Project Name: scikit-optimize/scikit-optimize
Commit Name: 57caf0454955b0f2eebd91605946052a1c42a530
Time: 2017-06-26
Author: mks542@nyu.edu
File Name: skopt/optimizer/gp.py
Class Name:
Method Name: gp_minimize


Project Name: scikit-optimize/scikit-optimize
Commit Name: 57caf0454955b0f2eebd91605946052a1c42a530
Time: 2017-06-26
Author: mks542@nyu.edu
File Name: skopt/optimizer/forest.py
Class Name:
Method Name: forest_minimize


Project Name: scikit-optimize/scikit-optimize
Commit Name: 57caf0454955b0f2eebd91605946052a1c42a530
Time: 2017-06-26
Author: mks542@nyu.edu
File Name: skopt/optimizer/optimizer.py
Class Name: Optimizer
Method Name: _check_arguments