4a8d1ffcf12287d632fb25ef484344d68d987818,skopt/plots.py,,plot_convergence,#,11
Before Change
color="r", lw=1,
label="True minimum")
plt.title("Convergence plot")
plt.xlabel("Number of calls $n$")
plt.ylabel(r"$\min f(x)$ after $n$ calls")
plt.grid()
After Change
true_minimum = kwargs.get("true_minimum", None)
yscale = kwargs.get("yscale", None)
if ax is None:
ax = plt.gca()
ax.set_title("Convergence plot")
ax.set_xlabel("Number of calls $n$")
ax.set_ylabel(r"$\min f(x)$ after $n$ calls")
ax.grid()
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 4
Instances
Project Name: scikit-optimize/scikit-optimize
Commit Name: 4a8d1ffcf12287d632fb25ef484344d68d987818
Time: 2016-07-20
Author: g.louppe@gmail.com
File Name: skopt/plots.py
Class Name:
Method Name: plot_convergence
Project Name: kundajelab/dragonn
Commit Name: 38512d92a8682a62e73c5b9e86366888be374532
Time: 2019-05-29
Author: annashcherbina@gmail.com
File Name: dragonn/vis/__init__.py
Class Name:
Method Name: plot_motif_scores
Project Name: nilearn/nilearn
Commit Name: b558c33cefe2bede6b385cb23d35a58eddd82fa7
Time: 2017-07-11
Author: jona.sassenhagen@gmail.com
File Name: nilearn/plotting/surf_plotting.py
Class Name:
Method Name: plot_surf