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
Release files for mlvizlib 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlvizlib-0.1.3.tar.gz | 14.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlvizlib-0.1.3-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 25.1 kB
Release files / mlvizlib-0.1.3.tar.gz
| Download URL | mlvizlib-0.1.3.tar.gz |
|---|---|
| Size | 14.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.8.10
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Release files / mlvizlib-0.1.3-py2.py3-none-any.whl
| Download URL | mlvizlib-0.1.3-py2.py3-none-any.whl |
|---|---|
| Size | 10.4 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.8.10
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