paramga


Nameparamga JSON
Version 0.5.5 PyPI version JSON
download
home_page
SummaryParameter Regression GA tool
upload_time2023-06-05 10:34:28
maintainer
docs_urlNone
authorSBland
requires_python>=3.6
license
keywords genetic algorithm optimization scientific modelling
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Paramga

Paramga is a Genetic Algorithm tool for optimizing model parameters.

# Updating Version

`bumpversion major|minor|patch`

# Push to pypi

`python3 setup.py sdist bdist_wheel`
`python3 -m twine upload dist/*`

            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "paramga",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.6",
    "maintainer_email": "",
    "keywords": "genetic algorithm,optimization,scientific modelling",
    "author": "SBland",
    "author_email": "sblandcouk@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/0b/21/115169dd75eb1fef844c21f7ef289fa3f18260dd6d4a0d8c508ca2044dc3/paramga-0.5.5.tar.gz",
    "platform": null,
    "description": "# Paramga\n\nParamga is a Genetic Algorithm tool for optimizing model parameters.\n\n# Updating Version\n\n`bumpversion major|minor|patch`\n\n# Push to pypi\n\n`python3 setup.py sdist bdist_wheel`\n`python3 -m twine upload dist/*`\n",
    "bugtrack_url": null,
    "license": "",
    "summary": "Parameter Regression GA tool",
    "version": "0.5.5",
    "project_urls": null,
    "split_keywords": [
        "genetic algorithm",
        "optimization",
        "scientific modelling"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "5a67bbd7254177089b6befcb2a16c9a267d6aa13ebbb377f5c3064532461f841",
                "md5": "48db5f90f5b4245edc2d2f9fe6cf79f0",
                "sha256": "cc0cacca753c8c33134a350e28255c99418522754c669dcba63b11b68ceb5382"
            },
            "downloads": -1,
            "filename": "paramga-0.5.5-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "48db5f90f5b4245edc2d2f9fe6cf79f0",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.6",
            "size": 24360,
            "upload_time": "2023-06-05T10:34:27",
            "upload_time_iso_8601": "2023-06-05T10:34:27.007573Z",
            "url": "https://files.pythonhosted.org/packages/5a/67/bbd7254177089b6befcb2a16c9a267d6aa13ebbb377f5c3064532461f841/paramga-0.5.5-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "0b21115169dd75eb1fef844c21f7ef289fa3f18260dd6d4a0d8c508ca2044dc3",
                "md5": "fa7085ad13ec70a02724b870ef1c3551",
                "sha256": "f68bdd5d82fd5721e089df8667eed7eeed545c790c910bce6203f6cc39f6181d"
            },
            "downloads": -1,
            "filename": "paramga-0.5.5.tar.gz",
            "has_sig": false,
            "md5_digest": "fa7085ad13ec70a02724b870ef1c3551",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.6",
            "size": 19227,
            "upload_time": "2023-06-05T10:34:28",
            "upload_time_iso_8601": "2023-06-05T10:34:28.858568Z",
            "url": "https://files.pythonhosted.org/packages/0b/21/115169dd75eb1fef844c21f7ef289fa3f18260dd6d4a0d8c508ca2044dc3/paramga-0.5.5.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-06-05 10:34:28",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "paramga"
}
        
Elapsed time: 0.09683s