7b833ffc3da26d5d76d18c8ccd466b35419a7d6d,evaluation/sim_eval.py,,plot_fitted_distribution,#,14
Before Change
model.fit(X_train, Y_train)
fig, ax = plt.subplots()
fig.set_size_inches(10, 8)
sns.regplot(X_train, Y_train, fit_reg=False)
plt.show()
After Change
model.fit(X_train, Y_train)
print(model.score(X_test, Y_test))
print(model.fit_by_cv(X_train, Y_train))
// plt.scatter(model.X_train, model.Y_test)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 4
Instances
Project Name: freelunchtheorem/Conditional_Density_Estimation
Commit Name: 7b833ffc3da26d5d76d18c8ccd466b35419a7d6d
Time: 2018-01-05
Author: jonas.rothfuss@gmx.de
File Name: evaluation/sim_eval.py
Class Name:
Method Name: plot_fitted_distribution
Project Name: scikit-image/scikit-image
Commit Name: 51f598aaedc73ef180913c670d2c20a8032aaf1e
Time: 2018-05-16
Author: egor.v.panfilov@gmail.com
File Name: doc/examples/edges/plot_random_shapes.py
Class Name:
Method Name:
Project Name: WZBSocialScienceCenter/tmtoolkit
Commit Name: 51873bf994b58821b3010265b919104c57279fc6
Time: 2018-02-12
Author: markus.konrad@wzb.eu
File Name: examples/lda_evaluation.py
Class Name:
Method Name: