870022ab7abce46f9bff47c8a9c787808a630e59,tests/test_features/test_importances.py,TestFeatureImportancesVisualizer,test_integration_coef,#TestFeatureImportancesVisualizer#,91

Before Change


        Integration test of visualizer with coef param
        

        concrete = self.load_data("concrete")
        feats = ["cement","slag","ash","water","splast","coarse","fine","age"]

        // Create X and y datasets as numpy arrays
        X = concrete[feats].copy()
        X = X.view((float, len(X.dtype.names)))
        y = concrete["strength"]

        fig = plt.figure()
        ax = fig.add_subplot()

After Change



        // Load the test dataset
        dataset = load_concrete(return_dataset=True)
        X, y = dataset.to_numpy()
        features = dataset.meta["features"]

        fig = plt.figure()
        ax = fig.add_subplot()
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 16

Instances


Project Name: DistrictDataLabs/yellowbrick
Commit Name: 870022ab7abce46f9bff47c8a9c787808a630e59
Time: 2019-01-30
Author: benjamin@bengfort.com
File Name: tests/test_features/test_importances.py
Class Name: TestFeatureImportancesVisualizer
Method Name: test_integration_coef


Project Name: DistrictDataLabs/yellowbrick
Commit Name: 870022ab7abce46f9bff47c8a9c787808a630e59
Time: 2019-01-30
Author: benjamin@bengfort.com
File Name: tests/test_features/test_importances.py
Class Name: TestFeatureImportancesVisualizer
Method Name: test_integration_coef


Project Name: DistrictDataLabs/yellowbrick
Commit Name: 870022ab7abce46f9bff47c8a9c787808a630e59
Time: 2019-01-30
Author: benjamin@bengfort.com
File Name: tests/test_features/test_importances.py
Class Name: TestFeatureImportancesVisualizer
Method Name: test_integration_quick_method


Project Name: DistrictDataLabs/yellowbrick
Commit Name: 870022ab7abce46f9bff47c8a9c787808a630e59
Time: 2019-01-30
Author: benjamin@bengfort.com
File Name: tests/test_features/test_importances.py
Class Name: TestFeatureImportancesVisualizer
Method Name: test_integration_feature_importances