45a6ef7b722811ff1dfdc76652a144190c9e0ef8,examples/inspection/plot_partial_dependence.py,,,#,29

Before Change


            ("AveOccup", "HouseAge")]
plot_partial_dependence(est, X_train, features,
                        n_jobs=3, grid_resolution=20)
print("done in {:.3f}s".format(time() - tic))
fig = plt.gcf()
fig.suptitle("Partial dependence of house value on non-location features\n"
             "for the California housing dataset, with Gradient Boosting")

After Change


    "Partial dependence of house value on non-location features\n"
    "for the California housing dataset, with Gradient Boosting"
)
display.figure_.subplots_adjust(wspace=0.4, hspace=0.3)

// %%
// Analysis of the plots
// .....................
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 3

Instances


Project Name: scikit-learn/scikit-learn
Commit Name: 45a6ef7b722811ff1dfdc76652a144190c9e0ef8
Time: 2020-06-15
Author: madhura@predictivehire.com
File Name: examples/inspection/plot_partial_dependence.py
Class Name:
Method Name:


Project Name: theislab/scanpy
Commit Name: 38ad6b4e89c7d1c7599c3b07ba5938d0f87904ab
Time: 2018-03-20
Author: f.alex.wolf@gmx.de
File Name: scanpy/plotting/preprocessing.py
Class Name:
Method Name: filter_genes_dispersion


Project Name: scikit-image/scikit-image
Commit Name: c0de1ff8df4d2212883910e47e3a2bfa4ed688d9
Time: 2017-11-08
Author: grlee77@gmail.com
File Name: doc/examples/filters/cycle_spinning.py
Class Name:
Method Name: