153f6e0ff5729fc22b68d5f6e0fd05edf96d8c2c,examples/datasets/plot_make_imbalance.py,,,#,36
Before Change
axs = [a for ax in axs for a in ax]
axs[0].scatter(X[y == 0, 0], X[y == 0, 1], label="Class /ǖ", alpha=0.5)
axs[0].scatter(X[y == 1, 0], X[y == 1, 1], label="Class /Ǘ", alpha=0.5)
axs[0].set_title("Original set")
plot_decoration(axs[0])
After Change
x="feature 1", y="feature 2", c=y_, ax=ax, colormap="viridis",
colorbar=False
)
ax.set_title("Sampling ratio = {}".format(multiplier))
plt.tight_layout()
plt.show()
In pattern: SUPERPATTERN
Frequency: 5
Non-data size: 3
Instances
Project Name: scikit-learn-contrib/imbalanced-learn
Commit Name: 153f6e0ff5729fc22b68d5f6e0fd05edf96d8c2c
Time: 2019-11-17
Author: g.lemaitre58@gmail.com
File Name: examples/datasets/plot_make_imbalance.py
Class Name:
Method Name:
Project Name: scikit-learn-contrib/imbalanced-learn
Commit Name: 71b1e873e70dca43cd12870d4c0f497015f41970
Time: 2021-02-17
Author: g.lemaitre58@gmail.com
File Name: examples/datasets/plot_make_imbalance.py
Class Name:
Method Name:
Project Name: scikit-learn-contrib/imbalanced-learn
Commit Name: 71b1e873e70dca43cd12870d4c0f497015f41970
Time: 2021-02-17
Author: g.lemaitre58@gmail.com
File Name: examples/combine/plot_comparison_combine.py
Class Name:
Method Name: plot_resampling
Project Name: rtavenar/tslearn
Commit Name: 10932ba9be0a77cf5cf899d4f28981dde82b6410
Time: 2020-06-07
Author: givdwiel.vandewiele@ugent.be
File Name: tslearn/docs/examples/classification/plot_shapelet_distances.py
Class Name:
Method Name:
Project Name: AllenCellModeling/pytorch_fnet
Commit Name: d632a61fc84c50fedc9706466fd26bc1e544d46e
Time: 2017-06-30
Author: chek.o@outlook.com
File Name: gen_util.py
Class Name:
Method Name: display_visual_eval_images