3b84e8fc7a0d418254589693aa4fcdce0612f0b3,arsenal/viz/learning_curve.py,LearningCurve,plot,#LearningCurve#,27
Before Change
halflife = 10
_,yy = zip(*data[k])
ax.plot(xs,
pandas.Series(yy).ewm(halflife=halflife).mean() ,
lw=2, c=l.get_color())
ax.set_title(self.name)
After Change
halflife = 20
r = s.ewm(halflife=halflife)
M = r.mean()
s = r.std()
U = M + 2*s
L = M - 2*s
else:
window = min(len(ys), 10)
r = s.rolling(window, min_periods=0)
M = r.median()
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances Project Name: timvieira/arsenal
Commit Name: 3b84e8fc7a0d418254589693aa4fcdce0612f0b3
Time: 2018-01-17
Author: tim.f.vieira@gmail.com
File Name: arsenal/viz/learning_curve.py
Class Name: LearningCurve
Method Name: plot
Project Name: HsinYingLee/DRIT
Commit Name: 8a04fa2c91f52a9c551849812d450079e667b16a
Time: 2018-07-28
Author: hytseng0509@gmail.com
File Name: src/networks.py
Class Name: LayerNorm
Method Name: forward
Project Name: HsinYingLee/DRIT
Commit Name: 7df18981f43e07e385a20ec18b820dd25e01a4b2
Time: 2018-07-28
Author: hytseng0509@gmail.com
File Name: src/networks.py
Class Name: LayerNorm
Method Name: forward