MLVizLib (Machine Learning Visualization Library) is a powerful library for generating quick, insightful, and stylish visualizations for machine learning (ML). Our goal is to enhance the ML workflow by providing insightful visualizations with minimum effort.
- Documentation: (COMING SOON) https://mlvizlib.readthedocs.io.
NOTE
This project is in early stage development, and can thus go trough major changes.
Install
MLVizLib can be installed from PyPI:
pip install mlvizlib
Features
- Confusion Matrix Visualization
note
More coming soon.
Confusion Matrix Visualization example
import matplotlib.pyplot as plt
from mlvizlib.classification import confusion_matrix
# example data
eg_y_true = [2,0,1,0,2,0,1,2,0,0,2,0,1,1,0,1,1,0,0,0,0,2,2]
eg_y_pred = [2,0,0,0,2,0,1,2,1,0,2,2,1,1,0,2,1,0,1,0,0,1,2]
confusion_matrix(eg_y_true, eg_y_pred)
plt.show()
1 maintainer
Metadata
1 maintainer
Release files for mlvizlib 0.1.3
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| File | Size | Uploaded | Provenance | Actions |
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| mlvizlib-0.1.3.tar.gz | 14.7 kB | Without provenance | Details for mlvizlib-0.1.3.tar.gz |
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| File | Interpreter | ABI | Platform | Actions Reset |
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| mlvizlib-0.1.3-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details for mlvizlib-0.1.3-py2.py3-none-any.whl |
Total release size: 25.1 kB
Release files / mlvizlib-0.1.3.tar.gz
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Release files / mlvizlib-0.1.3-py2.py3-none-any.whl
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