e7d1f86eff45bae2400fe0b4fc5d7312902255d6,skopt/tree_opt.py,,_tree_minimize,#Any#Any#Any#Any#Any#Any#Any#,20
Before Change
next_x = space.inverse_transform(next_x.reshape((1, -1)))[0]
next_y = func(next_x)
Xi = np.vstack((Xi, next_x))
yi.append(next_y)
res = OptimizeResult()
best = np.argmin(yi)
After Change
next_x = space.inverse_transform(next_x.reshape((1, -1)))[0]
next_y = func(next_x)
Xi.append(next_x)
yi.append(next_y)
res = OptimizeResult()
best = np.argmin(yi)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: scikit-optimize/scikit-optimize
Commit Name: e7d1f86eff45bae2400fe0b4fc5d7312902255d6
Time: 2016-07-21
Author: manojkumarsivaraj334@gmail.com
File Name: skopt/tree_opt.py
Class Name:
Method Name: _tree_minimize
Project Name: scikit-learn-contrib/imbalanced-learn
Commit Name: 2e7c0700d00da702cdccb7c19b6fe1857b5bd1b7
Time: 2017-08-24
Author: g.lemaitre58@gmail.com
File Name: imblearn/under_sampling/prototype_generation/cluster_centroids.py
Class Name: ClusterCentroids
Method Name: _sample
Project Name: scikit-optimize/scikit-optimize
Commit Name: e7d1f86eff45bae2400fe0b4fc5d7312902255d6
Time: 2016-07-21
Author: manojkumarsivaraj334@gmail.com
File Name: skopt/gp_opt.py
Class Name:
Method Name: gp_minimize