| Name | scikit-res JSON |
| Version |
0.1.1
JSON |
| download |
| home_page | |
| Summary | Very Basic package to store results of ML models |
| upload_time | 2024-01-25 15:53:39 |
| maintainer | |
| docs_url | None |
| author | AlexandreGazagnes |
| requires_python | ==3.10.12 |
| license | |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
[](https://www.gnu.org/licenses/gpl-3.0)   [](https://www.python.org/dev/peps/pep-0008/) [](https://python-poetry.org/)  
# Scikit-res : Scikit-learn + results
## About
### Context
Very Basic package to store results of ML models
Grid search results are hard to exploit. This package aims to store them in a more convenient way.
## Installation
### Clone the repository
Please clone the repository using the following command :
* for https :
```bash
git clone https://github.com/AlexandreGazagnes/skres.git
```
* for ssh :
```bash
git clone git@github.com:AlexandreGazagnes/skres.git
```
### Install the dependencies
The project uses [Poetry](https://python-poetry.org/) to manage its dependencies. Please install it using the following command :
```bash
pip install poetry
```
Then, please install the dependencies using the following command :
```bash
poetry install
```
Alternatively, you can install the dependencies using the following command :
```bash
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
pip install -r .utils/requirements-dev.txt
```
## Usage
```python
from skres import SkRes
grid_search = GridSearchCV(...)
grid_search.fit(X_train, y_train)
skres = SkRes(grid_search)
```
## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
## License
[GPLv3](LICENSE)
Raw data
{
"_id": null,
"home_page": "",
"name": "scikit-res",
"maintainer": "",
"docs_url": null,
"requires_python": "==3.10.12",
"maintainer_email": "",
"keywords": "",
"author": "AlexandreGazagnes",
"author_email": "alex@gazagnes.net",
"download_url": "https://files.pythonhosted.org/packages/d6/0a/c2c0c70f5655198c309248d7429de7e55128a87df3c2db663224927b6613/scikit_res-0.1.1.tar.gz",
"platform": null,
"description": "\n\n[](https://www.gnu.org/licenses/gpl-3.0)   [](https://www.python.org/dev/peps/pep-0008/) [](https://python-poetry.org/)  \n\n# Scikit-res : Scikit-learn + results\n\n## About\n\n### Context\n\nVery Basic package to store results of ML models\nGrid search results are hard to exploit. This package aims to store them in a more convenient way.\n\n\n## Installation\n\n### Clone the repository\n\nPlease clone the repository using the following command :\n\n* for https :\n```bash\ngit clone https://github.com/AlexandreGazagnes/skres.git\n```\n* for ssh :\n```bash\ngit clone git@github.com:AlexandreGazagnes/skres.git\n```\n\n### Install the dependencies\n\nThe project uses [Poetry](https://python-poetry.org/) to manage its dependencies. Please install it using the following command :\n\n```bash\npip install poetry\n```\n\nThen, please install the dependencies using the following command :\n\n```bash\npoetry install\n```\n\nAlternatively, you can install the dependencies using the following command :\n\n```bash\npython3 -m venv .venv\nsource .venv/bin/activate\npip install -r requirements.txt\npip install -r .utils/requirements-dev.txt\n```\n\n## Usage\n\n```python\nfrom skres import SkRes\ngrid_search = GridSearchCV(...)\ngrid_search.fit(X_train, y_train)\nskres = SkRes(grid_search)\n```\n\n## Contributing\n\nPull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.\n\n\n## License\n\n[GPLv3](LICENSE)",
"bugtrack_url": null,
"license": "",
"summary": "Very Basic package to store results of ML models",
"version": "0.1.1",
"project_urls": null,
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "7061f1e1597a26a7b3a18534d7f9cbdd52acf46a6fd9cb74bacd07ada85a1326",
"md5": "7819fc5ae92111a7fe730f5f9f94d85e",
"sha256": "f1fa3fec182c0bfe5d77ec73a54140047b71be32e64ccc94bbdd48f8633b949e"
},
"downloads": -1,
"filename": "scikit_res-0.1.1-py3-none-any.whl",
"has_sig": false,
"md5_digest": "7819fc5ae92111a7fe730f5f9f94d85e",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "==3.10.12",
"size": 15139,
"upload_time": "2024-01-25T15:53:38",
"upload_time_iso_8601": "2024-01-25T15:53:38.795604Z",
"url": "https://files.pythonhosted.org/packages/70/61/f1e1597a26a7b3a18534d7f9cbdd52acf46a6fd9cb74bacd07ada85a1326/scikit_res-0.1.1-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "d60ac2c0c70f5655198c309248d7429de7e55128a87df3c2db663224927b6613",
"md5": "e38c26f93f06abdd53ad895b2e527ab7",
"sha256": "f7398243079d39ff0a7fb55379ab99030c91949a123d04bf39bede9f5f4afa5b"
},
"downloads": -1,
"filename": "scikit_res-0.1.1.tar.gz",
"has_sig": false,
"md5_digest": "e38c26f93f06abdd53ad895b2e527ab7",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "==3.10.12",
"size": 15092,
"upload_time": "2024-01-25T15:53:39",
"upload_time_iso_8601": "2024-01-25T15:53:39.927818Z",
"url": "https://files.pythonhosted.org/packages/d6/0a/c2c0c70f5655198c309248d7429de7e55128a87df3c2db663224927b6613/scikit_res-0.1.1.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-01-25 15:53:39",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "scikit-res"
}
