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With this package you can use Khiops via Python\nin two ways:\n- with the module `khiops.core`: To use Khiops in its native way (Khiops dictionary files +\n  tabular data files as input)\n- with the module `khiops.sklearn`: To use Khiops with Scikit-Learn estimator objects (Pandas\n  dataframes or NumPy arrays as input)\n\n## Installation\n\nUsing `conda`\n```bash\nconda create -n khiops-env\nconda activate khiops-env\nconda install -c conda-forge khiops\n```\n\nUsing `pip` under Linux (in a `bash` shell)\n```bash\npython -m venv khiops-venv\nsource khiops-venv/bin/activate\npip install -U khiops\n```\n\nUsing `pip` under Windows (in a `powershell` shell)\n```shell\npython -m venv khiops-venv\nkhiops-venv\\Scripts\\activate\npip install -U khiops\n```\n\nOther installation methods are documented at the [Khiops website][khiops-install].\n\n### Requirements\n- [Python][python] (\u003e=3.10)\n- [Pandas][pandas] (\u003e=2.3.3)\n- [Scikit-Learn][sklearn] (\u003e=1.7.2)\n\n[pandas]: https://pandas.pydata.org\n[sklearn]: https://scikit-learn.org/stable\n\n## Documentation\nThe API Docs for the Khiops Python library are available [here][khiops-api-docs]. Other\ndocumentation (algorithms, installation etc.) can be found on the [Khiops site][khiops].\n\nThe library itself is documented with docstrings: for example, to obtain help on the\n`KhiopsClassifier` estimator and on the `train_predictor` function, respectively,\nyou can use:\n```python\nfrom khiops.sklearn import KhiopsClassifier\nhelp(KhiopsClassifier)\n\nfrom khiops import core as kh\nhelp(kh.train_predictor)\n```\n\n## License\nThe Khiops Python library is distributed under the BSD 3-Clause-clear License, the text\nof which is available at\nhttps://spdx.org/licenses/BSD-3-Clause-Clear.html or see the [LICENSE.md](./LICENSE.md) for more\ndetails.\n\n## Credits\nThe Khiops Python library is currently developed at [Orange Innovation][o-innov] by the Khiops\nTeam: khiops.team@orange.com .\n\n[khiops]: https://khiops.org\n[khiops-install]: https://khiops.org/setup\n[khiops-api-docs]: https://khiopsml.github.io/khiops-python\n[python]: https://www.python.org\n[pandas]: https://pandas.pydata.org\n[sklearn]: https://scikit-learn.org/stable\n[boto3]: https://github.com/boto/boto3\n[gcs]: https://github.com/googleapis/python-storage\n[o-innov]: https://hellofuture.orange.com/en/\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkhiopsml%2Fkhiops-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkhiopsml%2Fkhiops-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkhiopsml%2Fkhiops-python/lists"}