Shell around Ml libraries.
MLshell is a framework for ML research and development:
- Fast and simple pipeline prototyping and parameters tuning.
- Unified ml pipeline.
- Stable CV scheme.
- Production ready.
- One conf file rule all.
- Simple result analyse.
- Unified plots.
- Common EDA techniques.
- Pure python.
For details, please refer to Concepts.
pip install -U mlshell
Specific versions with additional requirements
pip install catalyst[dev] # installs dependencies for development
docker run -it nizaevka/mlshell
MLshell is compatible with: Python 3.6+.
see Docs for details ;)
Docs and examples
Check examples folder of the repository:
- For regression example please follow Allstate claims severity.
- For classification example please follow IEEE-CIS Fraud Detection.
We appreciate all contributions. If you are planning to contribute back bug-fixes, please do so without any further discussion. If you plan to contribute new features, utility functions or extensions, please first open an issue and discuss the feature with us.
- Please see the contribution guide for more information.
- By participating in this project, you agree to abide by its Code of Conduct.
This project is licensed under the Apache License, Version 2.0 see the LICENSE file for details
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