# tnreason
A package for reasoning using Markov Logic Networks based on Tensor Network algorithms.
Demonstrations can be found here: [Tutorials](https://drive.google.com/drive/folders/1CpeWP2TTFKjjcvwDgxOrq-baZ7nyCpI1?usp=share_link)
Raw data
{
"_id": null,
"home_page": "https://github.com/EnexaProject/enexa-tensor-reasoning",
"name": "tnreason",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3",
"maintainer_email": null,
"keywords": "markov logic networks, tensor networks, alternating least squares, gibbs sampling, inductive logic programming",
"author": "Alex Goessmann",
"author_email": "alex.goessmann@web.de",
"download_url": "https://files.pythonhosted.org/packages/fe/fc/848459f969b1befd2f12bc7ef15a9c902901a960a7e4a4fc776dfbd8aa20/tnreason-1.0.0.tar.gz",
"platform": null,
"description": "# tnreason\n\nA package for reasoning using Markov Logic Networks based on Tensor Network algorithms.\n\nDemonstrations can be found here: [Tutorials](https://drive.google.com/drive/folders/1CpeWP2TTFKjjcvwDgxOrq-baZ7nyCpI1?usp=share_link)\n",
"bugtrack_url": null,
"license": "AGPL-3.0",
"summary": "A package for reasoning based on encoding networks",
"version": "1.0.0",
"project_urls": {
"Homepage": "https://github.com/EnexaProject/enexa-tensor-reasoning"
},
"split_keywords": [
"markov logic networks",
" tensor networks",
" alternating least squares",
" gibbs sampling",
" inductive logic programming"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "440d5b802ec88af54c71df1ffd4d9f397fd04d0950232c76623a241eba55cab4",
"md5": "bd66670d1b023d740627045abb589c95",
"sha256": "af522bc8f4e530773ff445659ad0f01c13b3a55558e093408404c05b2e7cd0f8"
},
"downloads": -1,
"filename": "tnreason-1.0.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "bd66670d1b023d740627045abb589c95",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3",
"size": 45256,
"upload_time": "2024-05-07T12:41:59",
"upload_time_iso_8601": "2024-05-07T12:41:59.765201Z",
"url": "https://files.pythonhosted.org/packages/44/0d/5b802ec88af54c71df1ffd4d9f397fd04d0950232c76623a241eba55cab4/tnreason-1.0.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "fefc848459f969b1befd2f12bc7ef15a9c902901a960a7e4a4fc776dfbd8aa20",
"md5": "57429958a8d67114955d19cf7b2c0a7a",
"sha256": "5efe2ad2b8004d47299b859c8ce2dff1bc0c2e4b2409bb270a6f7e7365b3e180"
},
"downloads": -1,
"filename": "tnreason-1.0.0.tar.gz",
"has_sig": false,
"md5_digest": "57429958a8d67114955d19cf7b2c0a7a",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3",
"size": 35262,
"upload_time": "2024-05-07T12:42:01",
"upload_time_iso_8601": "2024-05-07T12:42:01.505766Z",
"url": "https://files.pythonhosted.org/packages/fe/fc/848459f969b1befd2f12bc7ef15a9c902901a960a7e4a4fc776dfbd8aa20/tnreason-1.0.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-05-07 12:42:01",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "EnexaProject",
"github_project": "enexa-tensor-reasoning",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"requirements": [
{
"name": "numpy",
"specs": [
[
">=",
"1.23.4"
]
]
},
{
"name": "pandas",
"specs": [
[
">=",
"1.0.0"
]
]
},
{
"name": "pgmpy",
"specs": []
},
{
"name": "importlib-resources",
"specs": []
},
{
"name": "rdflib",
"specs": []
},
{
"name": "matplotlib",
"specs": []
}
],
"lcname": "tnreason"
}