# TimeSeriesML
<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->
## [Future prediction using Darts library](https://bthek1.github.io/TimeSeriesML/hyperparameter%20optimization.html)
## [Future Prediction using Nixtla Library](https://bthek1.github.io/TimeSeriesML/electricityloadforecasting.html)
Raw data
{
"_id": null,
"home_page": "https://github.com/bthek1/TimeSeriesML",
"name": "TimeSeriesML",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.7",
"maintainer_email": "",
"keywords": "nbdev jupyter notebook python",
"author": "Benedict Thekkel",
"author_email": "bthekkel1@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/64/38/89e6df3c7d6356baeeaef5c0cf3a317b9110522442f416c7641d4344cdba/TimeSeriesML-0.0.10.tar.gz",
"platform": null,
"description": "# TimeSeriesML\n\n<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->\n\n## [Future prediction using Darts library](https://bthek1.github.io/TimeSeriesML/hyperparameter%20optimization.html)\n\n## [Future Prediction using Nixtla Library](https://bthek1.github.io/TimeSeriesML/electricityloadforecasting.html)\n",
"bugtrack_url": null,
"license": "Apache Software License 2.0",
"summary": "TimeSeriesML",
"version": "0.0.10",
"project_urls": {
"Homepage": "https://github.com/bthek1/TimeSeriesML"
},
"split_keywords": [
"nbdev",
"jupyter",
"notebook",
"python"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "fd024f3a79f13be8fb14b53b3e5880c1f8c3634e356a717a3eadf28214e7ecb6",
"md5": "7d3308cf5385cfe9a5d96cce0a07cde5",
"sha256": "82bc91f7f96869779af941ccb14689a7e962dcc909a049073260cecddbad8876"
},
"downloads": -1,
"filename": "TimeSeriesML-0.0.10-py3-none-any.whl",
"has_sig": false,
"md5_digest": "7d3308cf5385cfe9a5d96cce0a07cde5",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.7",
"size": 7053,
"upload_time": "2023-11-03T10:01:41",
"upload_time_iso_8601": "2023-11-03T10:01:41.170150Z",
"url": "https://files.pythonhosted.org/packages/fd/02/4f3a79f13be8fb14b53b3e5880c1f8c3634e356a717a3eadf28214e7ecb6/TimeSeriesML-0.0.10-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "643889e6df3c7d6356baeeaef5c0cf3a317b9110522442f416c7641d4344cdba",
"md5": "804748916e23ca46f2e01bd219434b57",
"sha256": "d83c5fb2e378f9a141129e461bfc16c63c08a2390189b953ca41272942ad24bf"
},
"downloads": -1,
"filename": "TimeSeriesML-0.0.10.tar.gz",
"has_sig": false,
"md5_digest": "804748916e23ca46f2e01bd219434b57",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.7",
"size": 7830,
"upload_time": "2023-11-03T10:01:42",
"upload_time_iso_8601": "2023-11-03T10:01:42.876109Z",
"url": "https://files.pythonhosted.org/packages/64/38/89e6df3c7d6356baeeaef5c0cf3a317b9110522442f416c7641d4344cdba/TimeSeriesML-0.0.10.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-11-03 10:01:42",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "bthek1",
"github_project": "TimeSeriesML",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "timeseriesml"
}