meta-learn

Name	meta-learn JSON
Version	0.2.0 JSON
	download
home_page	https://github.com/SimonBlanke/Meta-Learn
Summary	Collection and utilization of metadata from machine learning models and problems.
upload_time	2024-02-17 17:24:58
maintainer
docs_url	None
author	Simon Blanke
requires_python	>=3.5
license	MIT
keywords	machine learning deep learning optimization data-science
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            <h1 align="center">
Meta-Learn
</h1>

<br>

<h2 align="center">Collection and utilization of meta data from machine learning models and problems.</h3>

<br>

Collect and use meta-data of machine learning datasets to reduce search time for hyperparameter. Meta-Learn collects data about model- and dataset-properties to train a regressor (the score of the model being the target).


## Installation
```console
pip install meta-learn
```

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/SimonBlanke/Meta-Learn",
    "name": "meta-learn",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.5",
    "maintainer_email": "",
    "keywords": "machine learning,deep learning,optimization,data-science",
    "author": "Simon Blanke",
    "author_email": "simon.blanke@yahoo.com",
    "download_url": "",
    "platform": null,
    "description": "<h1 align=\"center\">\nMeta-Learn\n</h1>\n\n<br>\n\n<h2 align=\"center\">Collection and utilization of meta data from machine learning models and problems.</h3>\n\n<br>\n\nCollect and use meta-data of machine learning datasets to reduce search time for hyperparameter. Meta-Learn collects data about model- and dataset-properties to train a regressor (the score of the model being the target).\n\n\n## Installation\n```console\npip install meta-learn\n```\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Collection and utilization of metadata from machine learning models and problems.",
    "version": "0.2.0",
    "project_urls": {
        "Homepage": "https://github.com/SimonBlanke/Meta-Learn"
    },
    "split_keywords": [
        "machine learning",
        "deep learning",
        "optimization",
        "data-science"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "676c72f10c801d50995c859d072b0bc88568d217a52ce041567de57841828477",
                "md5": "73ea6eba2f487f0804886f610cffcaa9",
                "sha256": "50626bf1c51f49b6fe6ccfb5bfb377270a0178b2e64da4592b643fecabda63c3"
            },
            "downloads": -1,
            "filename": "meta_learn-0.2.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "73ea6eba2f487f0804886f610cffcaa9",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.5",
            "size": 8968,
            "upload_time": "2024-02-17T17:24:58",
            "upload_time_iso_8601": "2024-02-17T17:24:58.688342Z",
            "url": "https://files.pythonhosted.org/packages/67/6c/72f10c801d50995c859d072b0bc88568d217a52ce041567de57841828477/meta_learn-0.2.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-02-17 17:24:58",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "SimonBlanke",
    "github_project": "Meta-Learn",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "requirements": [],
    "lcname": "meta-learn"
}