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Project description
mlplot
Machine learning evaluation plots using matplotlib and sklearn. Check out the docs.
Install
pip install mlplot
ML Plot is runs with python 2.7, 3.5 and 3.6!
Contributing
Create a PR!
Plots
Starting from sklearn.
Classification
ROC with AUC number
Calibration
Precision-Recall
Population Histograms
Confusion Matrix
Classification Report
Regression
- Full report
- Mean sqr error
- Mean abs error
- Target mean, std
- R2
- Residual plot
- Scatter plot
- Histogram of regressor
Library Cleanup
- Try in a notebook
- Multi-model comparison
- Report to generate multiple plots at once
Development
Publish to pypi
python setup.py sdist bdist_wheel
twine upload --repository-url https://pypi.org/ dist/*
Release history Release notifications
Download files
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| Filename, size & hash SHA256 hash help | File type | Python version | Upload date |
|---|---|---|---|
| mlplot-0.0.0-py3.6.egg (8.5 kB) Copy SHA256 hash SHA256 | Egg | 3.6 | |
| mlplot-0.0.0-py3-none-any.whl (9.6 kB) Copy SHA256 hash SHA256 | Wheel | py3 | |
| mlplot-0.0.0.tar.gz (7.9 kB) Copy SHA256 hash SHA256 | Source | None |
