# Machine Learning Wrappers SDK for Python
### This package has been tested with Python 3.8, 3.9 and 3.10
The Machine Learning Wrappers SDK provides a unified wrapper for various ML frameworks - to have one uniform scikit-learn format predict and predict_proba functions.
Highlights of the package include:
- A dataset wrapper to handle scipy sparse, pandas and numpy datasets in a uniform manner.
- A model wrapper to handle models from various frameworks uniformly, including scikit-learn, tensorflow, pytorch, lightgbm and xgboost
Please see the github website for the documentation and sample notebooks:
https://github.com/microsoft/ml-wrappers
Raw data
{
"_id": null,
"home_page": "https://github.com/microsoft/ml-wrappers",
"name": "ml-wrappers",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": null,
"author": "Microsoft Corp",
"author_email": "ilmat@microsoft.com",
"download_url": "https://files.pythonhosted.org/packages/0c/47/5f63fdbd2c8bfb8ea797cd46546e2f76f85172d3d8b7d691de0f81504c7c/ml_wrappers-0.5.6.tar.gz",
"platform": null,
"description": "# Machine Learning Wrappers SDK for Python\n\n### This package has been tested with Python 3.8, 3.9 and 3.10\n\nThe Machine Learning Wrappers SDK provides a unified wrapper for various ML frameworks - to have one uniform scikit-learn format predict and predict_proba functions.\n\nHighlights of the package include:\n\n- A dataset wrapper to handle scipy sparse, pandas and numpy datasets in a uniform manner.\n- A model wrapper to handle models from various frameworks uniformly, including scikit-learn, tensorflow, pytorch, lightgbm and xgboost\n\nPlease see the github website for the documentation and sample notebooks:\nhttps://github.com/microsoft/ml-wrappers\n",
"bugtrack_url": null,
"license": "MIT License",
"summary": "Machine Learning Wrappers SDK for Python",
"version": "0.5.6",
"project_urls": {
"Homepage": "https://github.com/microsoft/ml-wrappers"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "bdbb20bdd9303398d10ff7c3e836968a99b7926e43bb149eb6385939b05e45e7",
"md5": "5d960c4e98b6406d420fc73de204c788",
"sha256": "8d96d0ae8787a92a1e4c1be7ee2ae8260a9c020de3e2d7144bd2fdd64b0b4d6a"
},
"downloads": -1,
"filename": "ml_wrappers-0.5.6-py3-none-any.whl",
"has_sig": false,
"md5_digest": "5d960c4e98b6406d420fc73de204c788",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 52142,
"upload_time": "2024-08-21T21:19:27",
"upload_time_iso_8601": "2024-08-21T21:19:27.143643Z",
"url": "https://files.pythonhosted.org/packages/bd/bb/20bdd9303398d10ff7c3e836968a99b7926e43bb149eb6385939b05e45e7/ml_wrappers-0.5.6-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "0c475f63fdbd2c8bfb8ea797cd46546e2f76f85172d3d8b7d691de0f81504c7c",
"md5": "f5269133ebc322f0c3dc0076763005ef",
"sha256": "2f5dc4b76bce8f4e2312a9cb519033a936b521f76d0ac8172e8041230e70aa16"
},
"downloads": -1,
"filename": "ml_wrappers-0.5.6.tar.gz",
"has_sig": false,
"md5_digest": "f5269133ebc322f0c3dc0076763005ef",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 40174,
"upload_time": "2024-08-21T21:19:28",
"upload_time_iso_8601": "2024-08-21T21:19:28.733044Z",
"url": "https://files.pythonhosted.org/packages/0c/47/5f63fdbd2c8bfb8ea797cd46546e2f76f85172d3d8b7d691de0f81504c7c/ml_wrappers-0.5.6.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-08-21 21:19:28",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "microsoft",
"github_project": "ml-wrappers",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "ml-wrappers"
}
JSON
