Name | eazyml-augi JSON |
Version |
0.0.13
JSON |
| download |
home_page | https://eazyml.com/ |
Summary | Python client for Augmented Intelligence |
upload_time | 2024-12-21 07:41:01 |
maintainer | None |
docs_url | None |
author | Eazyml |
requires_python | >=3.8 |
license | None |
keywords |
python
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
## Eazyml Augmented Intelligence
![Python](https://img.shields.io/badge/python-3.7%20%7C%203.8%20%7C%203.9%20%7C%203.10%20%7C%203.11%20%7C%203.12-blue) ![PyPI package](https://img.shields.io/badge/pypi%20package-0.0.12-brightgreen) ![Code Style](https://img.shields.io/badge/code%20style-black-black)
EazyML Augmented Intelligence extract insights from Dataset with certain insights
score which is calculated using coverage of that insights.
### Features
- Builds a predictive model based on the input training data, mode, and options.
Supports classification and regression tasks.
### APIs
It provides following apis :
1. scikit_feature_selection
```python
ez_augi(mode='classification',
outcome='target',
train_file_path='train.csv')
Raw data
{
"_id": null,
"home_page": "https://eazyml.com/",
"name": "eazyml-augi",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": null,
"keywords": "python",
"author": "Eazyml",
"author_email": "admin@ipsoftlabs.com",
"download_url": "https://files.pythonhosted.org/packages/b8/ae/ef083562575f9cf5e942c75b16d8573163fb980bacab4403d18eb9b846f7/eazyml_augi-0.0.13.tar.gz",
"platform": null,
"description": "## Eazyml Augmented Intelligence\n![Python](https://img.shields.io/badge/python-3.7%20%7C%203.8%20%7C%203.9%20%7C%203.10%20%7C%203.11%20%7C%203.12-blue) ![PyPI package](https://img.shields.io/badge/pypi%20package-0.0.12-brightgreen) ![Code Style](https://img.shields.io/badge/code%20style-black-black)\n\nEazyML Augmented Intelligence extract insights from Dataset with certain insights\nscore which is calculated using coverage of that insights.\n\n### Features\n- Builds a predictive model based on the input training data, mode, and options. \n Supports classification and regression tasks.\n### APIs\nIt provides following apis :\n\n1. scikit_feature_selection\n ```python\n ez_augi(mode='classification',\n outcome='target',\n train_file_path='train.csv')\n",
"bugtrack_url": null,
"license": null,
"summary": "Python client for Augmented Intelligence",
"version": "0.0.13",
"project_urls": {
"Documentation": "https://eazyml-docs.readthedocs.io/en/latest/",
"Homepage": "https://eazyml.com/"
},
"split_keywords": [
"python"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "53b5fb5c0fc3c6eedaaf64eab75315879171b9ec7a42c8ee9c0a00202b854cb9",
"md5": "e743928b499ea512c962489b77fab242",
"sha256": "fb1431fa3caef065bd8f8758eaccce552f53dbafab4a43663bf7e213bfeb154f"
},
"downloads": -1,
"filename": "eazyml_augi-0.0.13-py3-none-any.whl",
"has_sig": false,
"md5_digest": "e743928b499ea512c962489b77fab242",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.8",
"size": 12756462,
"upload_time": "2024-12-21T07:40:53",
"upload_time_iso_8601": "2024-12-21T07:40:53.133844Z",
"url": "https://files.pythonhosted.org/packages/53/b5/fb5c0fc3c6eedaaf64eab75315879171b9ec7a42c8ee9c0a00202b854cb9/eazyml_augi-0.0.13-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "b8aeef083562575f9cf5e942c75b16d8573163fb980bacab4403d18eb9b846f7",
"md5": "e95d00a9baef06c4c984f5a699d8becf",
"sha256": "711f122c6d0dc2f497441a121b5181d9549d45440511e9d2c6265305ab7e6224"
},
"downloads": -1,
"filename": "eazyml_augi-0.0.13.tar.gz",
"has_sig": false,
"md5_digest": "e95d00a9baef06c4c984f5a699d8becf",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.8",
"size": 12503021,
"upload_time": "2024-12-21T07:41:01",
"upload_time_iso_8601": "2024-12-21T07:41:01.993318Z",
"url": "https://files.pythonhosted.org/packages/b8/ae/ef083562575f9cf5e942c75b16d8573163fb980bacab4403d18eb9b846f7/eazyml_augi-0.0.13.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-12-21 07:41:01",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "eazyml-augi"
}