161a91e9a65de139b1b3e54ff680b53a74610a48,tests/test_classifier/test_rocauc.py,ROCAUCTests,test_predict_proba_rocauc,#ROCAUCTests#,333

Before Change



        // Fit model and visualizer
        visualizer = ROCAUC(model)
        visualizer.fit(X, yb)

        expected = np.asarray([
            [0.493788,  0.506212],
            [0.493375,  0.506625],

After Change



        // First 10 expected arrays in the y_scores
        first_ten_expected = np.asarray([
            [0.595, 0.405],
            [0.161, 0.839],
            [0.990, 0.010],
            [0.833, 0.167],

In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 3

Instances

Link

Project Name: DistrictDataLabs/yellowbrick

Commit Name: 161a91e9a65de139b1b3e54ff680b53a74610a48

Time: 2018-07-24

Author: rebeccabilbro@users.noreply.github.com

File Name: tests/test_classifier/test_rocauc.py

Class Name: ROCAUCTests

Method Name: test_predict_proba_rocauc

Link

Project Name: rasbt/mlxtend

Commit Name: f0f4ba31aaec58f607df632cfbec5fd39802958f

Time: 2015-04-09

Author: se.raschka@me.com

File Name: mlxtend/evaluate/learning_curves.py

Class Name:

Method Name: plot_learning_curves

Link

Project Name: philipperemy/keras-tcn

Commit Name: 8ff135bfe2df23037272b8cba6b26bd7f4cf0f45

Time: 2018-03-22

Author: premy@reactive.co.jp

File Name: mnist_pixel/main.py

Class Name:

Method Name: run_task