snapmlweb


Namesnapmlweb JSON
Version 0.0.1 PyPI version JSON
download
home_pagehttps://github.com/Parth162/snapmlweb
SummaryML Helper Webapp
upload_time2023-04-17 03:41:17
maintainer
docs_urlNone
authorAnish Adnani, Parth Goel
requires_python
licenseMIT
keywords python coding ml algorithms
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            ## snapmlweb : snapmlweb is a web application that uses snapmlengine to help you with Machine Learning Tasks

- **Website:** https://github.com/Parth162/snapmlweb
- **Source Code:** https://github.com/Parth162/snapmlweb
- **Bug Reports:** https://github.com/Parth162/snapmlweb/issues

## What is it?

**snapmlengine** is a Python package that provides fast and flexible solution to Machine Learning Tasks

## snapmlweb provides
- Functions to perform ML Tasks using a web application

## Where to get it

The source code is currently hosted on GitHub at:
https://github.com/Parth162/snapmlweb

```sh
# conda
conda install snapmlweb
```

```sh
# or PyPI
pip install snapmlweb
```

## Background

Work on ``snapmlweb`` started in 2023 and has been under active development since then.


            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/Parth162/snapmlweb",
    "name": "snapmlweb",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "python,coding,ml,algorithms",
    "author": "Anish Adnani, Parth Goel",
    "author_email": "anishadnani00@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/25/bd/f5d1b049ba0bb77c13606de86f7b7b06730e6db68c2b04da20561e0f76da/snapmlweb-0.0.1.tar.gz",
    "platform": null,
    "description": "## snapmlweb : snapmlweb is a web application that uses snapmlengine to help you with Machine Learning Tasks\n\n- **Website:** https://github.com/Parth162/snapmlweb\n- **Source Code:** https://github.com/Parth162/snapmlweb\n- **Bug Reports:** https://github.com/Parth162/snapmlweb/issues\n\n## What is it?\n\n**snapmlengine** is a Python package that provides fast and flexible solution to Machine Learning Tasks\n\n## snapmlweb provides\n- Functions to perform ML Tasks using a web application\n\n## Where to get it\n\nThe source code is currently hosted on GitHub at:\nhttps://github.com/Parth162/snapmlweb\n\n```sh\n# conda\nconda install snapmlweb\n```\n\n```sh\n# or PyPI\npip install snapmlweb\n```\n\n## Background\n\nWork on ``snapmlweb`` started in 2023 and has been under active development since then.\n\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "ML Helper Webapp",
    "version": "0.0.1",
    "split_keywords": [
        "python",
        "coding",
        "ml",
        "algorithms"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "25bdf5d1b049ba0bb77c13606de86f7b7b06730e6db68c2b04da20561e0f76da",
                "md5": "6ffcc536528e155e9e6e9c8897c81305",
                "sha256": "1502a8a451448c8e3c33a32c7b44c6c5d58394e5ba9d47d02893cc0e7f3f5499"
            },
            "downloads": -1,
            "filename": "snapmlweb-0.0.1.tar.gz",
            "has_sig": false,
            "md5_digest": "6ffcc536528e155e9e6e9c8897c81305",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 3260,
            "upload_time": "2023-04-17T03:41:17",
            "upload_time_iso_8601": "2023-04-17T03:41:17.786500Z",
            "url": "https://files.pythonhosted.org/packages/25/bd/f5d1b049ba0bb77c13606de86f7b7b06730e6db68c2b04da20561e0f76da/snapmlweb-0.0.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-04-17 03:41:17",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "github_user": "Parth162",
    "github_project": "snapmlweb",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "lcname": "snapmlweb"
}
        
Elapsed time: 0.06346s