| Name | MLPyVersioneer JSON |
| Version |
1.0.4
JSON |
| download |
| home_page | |
| Summary | A Python package for versioning your python machine learning models. |
| upload_time | 2023-10-05 14:22:29 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.9 |
| license | MIT License Copyright (c) 2023 Jeppe Axelsen Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
machine learning
versioning
ml
mlpyversioneer
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
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# PyMLVersioneer - Python Machine Learning Model Versioning Library
[](https://opensource.org/licenses/MIT)
PyMLVersioneer is a Python library designed to simplify the versioning and management of machine learning models. With PyMLVersioneer, you can easily track and organize different versions of your trained models, making it a valuable tool for machine learning developers and MLOps practitioners.
## Features
- Effortlessly version your machine learning models and associated metadata.
- Keep track of model changes and updates over time.
- Integrate versioning into your machine learning workflows.
- Seamlessly work with popular machine learning frameworks like TensorFlow, PyTorch, scikit-learn, etc.
## Installation
You can install PyMLVersioneer using `pip`:
```bash
pip install MLPyVersioneer
```
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