Pre-release
This release is a pre-release and may not be stable for production use.
ml-utils
ml_utils is a Python package that provides a suite of plotting functions to visualize machine learning models and data. It offers intuitive and customizable plots to aid in model evaluation and data analysis.
Features
- Model Evaluation Plots:
- Confusion matrices
- ROC curves
- Precision-recall curves
- Data Visualization:
- Heatmaps
- Pair plots
- Feature importance plots
- Compatibility:
- Integrates seamlessly with popular machine learning libraries like scikit-learn and TensorFlow.
Installation
You can install ml_utils using pip:
pip install ml_utils
1 maintainer
Metadata
1 maintainer
Release files for alpha-go 0.0.1a0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| alpha_go-0.0.1a0.tar.gz | 4.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| alpha_go-0.0.1a0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.3 kB
Release files / alpha_go-0.0.1a0.tar.gz
| Download URL | alpha_go-0.0.1a0.tar.gz |
|---|---|
| Size | 4.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
8498b7a0f3d50c3bc392858fd462f1d6fabe948dc21263188a0ca755bb618d9a
|
|
BLAKE2b-256 checksum How to use checksums |
74d4b9ab86cf1ad5e546e88fc952ce0856b992e9192a212a89d51b28dbfd7dc1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.8
|
Release files / alpha_go-0.0.1a0-py3-none-any.whl
| Download URL | alpha_go-0.0.1a0-py3-none-any.whl |
|---|---|
| Size | 4.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
4e829d673231d32bd337980ee95bdeba553eff25e380d9bba21dd9ed94e213f5
|
|
BLAKE2b-256 checksum How to use checksums |
39e5f9a770d836057600ecd996ab23c35e279a0f6e30279768de554d49d27924
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.8
|
