6f33c5ccb42043c28d390f5ff08cff9317060bc8,sklearn/neural_network/tests/test_mlp.py,,,#,30
Before Change
classification_datasets = [(X_digits_multi, y_digits_multi),
(X_digits_binary, y_digits_binary)]
boston = load_boston()
Xboston = StandardScaler().fit_transform(boston.data)[: 200]
yboston = boston.target[:200]
regression_datasets = [(Xboston, yboston)]
iris = load_iris()
After Change
X_reg, y_reg = make_regression(n_samples=200, n_features=10, bias=20.,
noise=100., random_state=7)
y_reg = scale(y_reg)
regression_datasets = [(X_reg, y_reg)]
iris = load_iris()
X_iris = iris.data
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 4
Instances
Project Name: scikit-learn/scikit-learn
Commit Name: 6f33c5ccb42043c28d390f5ff08cff9317060bc8
Time: 2020-05-26
Author: jliu176@gmail.com
File Name: sklearn/neural_network/tests/test_mlp.py
Class Name:
Method Name:
Project Name: Kaggle/docker-python
Commit Name: f3951d4f887f45e66b415620c50afbc31cbf3895
Time: 2021-02-01
Author: rosbo@google.com
File Name: tests/test_xgboost.py
Class Name: TestXGBoost
Method Name: test_classifier
Project Name: cmu-db/ottertune
Commit Name: ab17aafac49003ca324a432fd75c8f9ae19cf846
Time: 2019-10-15
Author: dongshen@andrew.cmu.edu
File Name: server/analysis/tests/test_ddpg.py
Class Name: TestDDPG
Method Name: setUpClass