84b715a9926347b4d7c62448681968cb94cce9c1,numerox/run.py,,run,#,22
Before Change
if tournament is None:
p = nx.Prediction()
for t_number, t_name in nx.tournament_iter():
splitter.reset()
p += run_one(model, splitter, t_name, name=name,
verbosity=verbosity)
else:
splitter.reset()
p = run_one(model, splitter, tournament, name=name,
verbosity=verbosity)
After Change
models = make_model_list(model)
if tournament is None:
tournaments = nx.tournament_all()
else:
tournaments = [tournament]
p = nx.Prediction()
for m in models:
for t in tournaments:
splitter.reset()
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 4
Instances
Project Name: kwgoodman/numerox
Commit Name: 84b715a9926347b4d7c62448681968cb94cce9c1
Time: 2018-09-14
Author: kwgoodman@gmail.com
File Name: numerox/run.py
Class Name:
Method Name: run
Project Name: pytorch/examples
Commit Name: ca907342507c1139696f542de0a3351d7a382eee
Time: 2017-12-04
Author: sgross@fb.com
File Name: reinforcement_learning/actor_critic.py
Class Name:
Method Name:
Project Name: pytorch/examples
Commit Name: ca907342507c1139696f542de0a3351d7a382eee
Time: 2017-12-04
Author: sgross@fb.com
File Name: reinforcement_learning/reinforce.py
Class Name:
Method Name: