# Welcome to the Probabilistic Model's package.
This package contains an interface for any kind of probabilistic models.
The aim of this package is to provide a clean, unifying, well documented API to
probabilistic models. Just like sklearn does for classical machine learning models.
Read the docs here https://probabilistic-model.readthedocs.io/en/latest/.
Raw data
{
"_id": null,
"home_page": null,
"name": "probabilistic-model",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.6",
"maintainer_email": null,
"keywords": "probabilistic models, probabilistic machine learning, probability theory, variables, reasoning under uncertainty",
"author": null,
"author_email": "Tom Schierenbeck <tom_sch@uni-bremen.de>",
"download_url": "https://files.pythonhosted.org/packages/d7/4f/50a51d6ada2ed6c88542b69ea617218b8ce2884b16235749042c58ea0dba/probabilistic_model-6.1.0.tar.gz",
"platform": null,
"description": "# Welcome to the Probabilistic Model's package. \n\nThis package contains an interface for any kind of probabilistic models.\nThe aim of this package is to provide a clean, unifying, well documented API to\nprobabilistic models. Just like sklearn does for classical machine learning models.\n\nRead the docs here https://probabilistic-model.readthedocs.io/en/latest/.\n",
"bugtrack_url": null,
"license": null,
"summary": "Models for probabilistic reasoning",
"version": "6.1.0",
"project_urls": {
"Bug Tracker": "https://github.com/tomsch420/probabilistic_model/issues",
"Source": "https://github.com/probabilistic_model/probabilistic_model"
},
"split_keywords": [
"probabilistic models",
" probabilistic machine learning",
" probability theory",
" variables",
" reasoning under uncertainty"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "5d658779a1802e189da1dac24504ad913e3a5618f4138e20daff82f2f578931b",
"md5": "ee3ecd1b73727c2bc50b6f807b2097cc",
"sha256": "8aed339194bfb08ca885f65874bd76ca7152e65877223b89d7ce34a5d5ea1a0b"
},
"downloads": -1,
"filename": "probabilistic_model-6.1.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "ee3ecd1b73727c2bc50b6f807b2097cc",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.6",
"size": 69332,
"upload_time": "2024-12-21T11:43:37",
"upload_time_iso_8601": "2024-12-21T11:43:37.580334Z",
"url": "https://files.pythonhosted.org/packages/5d/65/8779a1802e189da1dac24504ad913e3a5618f4138e20daff82f2f578931b/probabilistic_model-6.1.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "d74f50a51d6ada2ed6c88542b69ea617218b8ce2884b16235749042c58ea0dba",
"md5": "eb82af7ebbfa9cb6356bf42a9fbed84b",
"sha256": "a3215c8a4706771e69500199cbb70407ed1e820a10843576f137c3ddfa5dadb3"
},
"downloads": -1,
"filename": "probabilistic_model-6.1.0.tar.gz",
"has_sig": false,
"md5_digest": "eb82af7ebbfa9cb6356bf42a9fbed84b",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.6",
"size": 216779,
"upload_time": "2024-12-21T11:43:40",
"upload_time_iso_8601": "2024-12-21T11:43:40.795924Z",
"url": "https://files.pythonhosted.org/packages/d7/4f/50a51d6ada2ed6c88542b69ea617218b8ce2884b16235749042c58ea0dba/probabilistic_model-6.1.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-12-21 11:43:40",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "tomsch420",
"github_project": "probabilistic_model",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"requirements": [
{
"name": "random-events",
"specs": []
},
{
"name": "networkx",
"specs": []
},
{
"name": "plotly",
"specs": []
},
{
"name": "scipy",
"specs": []
},
{
"name": "typing_extensions",
"specs": []
},
{
"name": "numpy",
"specs": [
[
"<=",
"1.26.4"
]
]
},
{
"name": "sortedcontainers",
"specs": []
},
{
"name": "tqdm",
"specs": []
}
],
"lcname": "probabilistic-model"
}