memento-scorecard


Namememento-scorecard JSON
Version 2.0.3 PyPI version JSON
download
home_pagehttps://github.com/Guilliu/Memento
SummaryScorecard development with Python
upload_time2024-04-23 07:53:24
maintainerNone
docs_urlNone
authorGuillermo Lizcano Villafáñez
requires_pythonNone
licenseApache License 2.0
keywords python scoring rating logistic regression scorecard woe credit-risk autogrouping
VCS
bugtrack_url
requirements et-xmlfile joblib numpy openpyxl packaging pandas patsy python-dateutil pytz scikit-learn scipy six statsmodels threadpoolctl tzdata
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
# Memento - Scorecard development with Python

*Memento* is a Python package with the aim of providing the necessary tools for:

- Grouping variables (both numerical and categorical) in an automatic and interactive way.
- Development of customizable scorecards adaptable to the requirements of each user.

## Source code
Check out the [GitHub](https://github.com/Guilliu/Memento) repository.

## Documentation
You can find useful documentation [here](https://guilliu.github.io/).

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/Guilliu/Memento",
    "name": "memento-scorecard",
    "maintainer": null,
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": null,
    "keywords": "python, scoring, rating, logistic, regression, scorecard, woe, credit-risk, autogrouping",
    "author": "Guillermo Lizcano Villaf\u00e1\u00f1ez",
    "author_email": "guille.lv.97@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/86/65/91afa0bb671ea72aa39f6c379f5be34dd22efc6fdf761cf7f5abf0b8f32b/memento-scorecard-2.0.3.tar.gz",
    "platform": null,
    "description": "\r\n# Memento - Scorecard development with Python\r\n\r\n*Memento* is a Python package with the aim of providing the necessary tools for:\r\n\r\n- Grouping variables (both numerical and categorical) in an automatic and interactive way.\r\n- Development of customizable scorecards adaptable to the requirements of each user.\r\n\r\n## Source code\r\nCheck out the [GitHub](https://github.com/Guilliu/Memento) repository.\r\n\r\n## Documentation\r\nYou can find useful documentation [here](https://guilliu.github.io/).\r\n",
    "bugtrack_url": null,
    "license": "Apache License 2.0",
    "summary": "Scorecard development with Python",
    "version": "2.0.3",
    "project_urls": {
        "Homepage": "https://github.com/Guilliu/Memento"
    },
    "split_keywords": [
        "python",
        " scoring",
        " rating",
        " logistic",
        " regression",
        " scorecard",
        " woe",
        " credit-risk",
        " autogrouping"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "3f1d6f0bd46feadb3d1be4cf010c92e7d9d43fdb4396f3d341540c63e4fd26a6",
                "md5": "f01c903e6c7f4df106d7c0be2c9ec6c8",
                "sha256": "1c7ef7acedbdf28203974167f8acada11f03df2658c93c66a9bd4176de9c7fc2"
            },
            "downloads": -1,
            "filename": "memento_scorecard-2.0.3-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "f01c903e6c7f4df106d7c0be2c9ec6c8",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 26252,
            "upload_time": "2024-04-23T07:53:23",
            "upload_time_iso_8601": "2024-04-23T07:53:23.086052Z",
            "url": "https://files.pythonhosted.org/packages/3f/1d/6f0bd46feadb3d1be4cf010c92e7d9d43fdb4396f3d341540c63e4fd26a6/memento_scorecard-2.0.3-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "866591afa0bb671ea72aa39f6c379f5be34dd22efc6fdf761cf7f5abf0b8f32b",
                "md5": "6801904fe878f43c5706f7d3c7248758",
                "sha256": "9ce41edcab139eda314e5f2221a55860afee70601cb3775b2247bda2ab99e565"
            },
            "downloads": -1,
            "filename": "memento-scorecard-2.0.3.tar.gz",
            "has_sig": false,
            "md5_digest": "6801904fe878f43c5706f7d3c7248758",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 26591,
            "upload_time": "2024-04-23T07:53:24",
            "upload_time_iso_8601": "2024-04-23T07:53:24.614349Z",
            "url": "https://files.pythonhosted.org/packages/86/65/91afa0bb671ea72aa39f6c379f5be34dd22efc6fdf761cf7f5abf0b8f32b/memento-scorecard-2.0.3.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-04-23 07:53:24",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "Guilliu",
    "github_project": "Memento",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "requirements": [
        {
            "name": "et-xmlfile",
            "specs": [
                [
                    "==",
                    "1.1.0"
                ]
            ]
        },
        {
            "name": "joblib",
            "specs": [
                [
                    "==",
                    "1.2.0"
                ]
            ]
        },
        {
            "name": "numpy",
            "specs": [
                [
                    "==",
                    "1.24.3"
                ]
            ]
        },
        {
            "name": "openpyxl",
            "specs": [
                [
                    "==",
                    "3.1.2"
                ]
            ]
        },
        {
            "name": "packaging",
            "specs": [
                [
                    "==",
                    "23.1"
                ]
            ]
        },
        {
            "name": "pandas",
            "specs": [
                [
                    "==",
                    "2.0.2"
                ]
            ]
        },
        {
            "name": "patsy",
            "specs": [
                [
                    "==",
                    "0.5.3"
                ]
            ]
        },
        {
            "name": "python-dateutil",
            "specs": [
                [
                    "==",
                    "2.8.2"
                ]
            ]
        },
        {
            "name": "pytz",
            "specs": [
                [
                    "==",
                    "2023.3"
                ]
            ]
        },
        {
            "name": "scikit-learn",
            "specs": [
                [
                    "==",
                    "1.2.2"
                ]
            ]
        },
        {
            "name": "scipy",
            "specs": [
                [
                    "==",
                    "1.10.1"
                ]
            ]
        },
        {
            "name": "six",
            "specs": [
                [
                    "==",
                    "1.16.0"
                ]
            ]
        },
        {
            "name": "statsmodels",
            "specs": [
                [
                    "==",
                    "0.14.0"
                ]
            ]
        },
        {
            "name": "threadpoolctl",
            "specs": [
                [
                    "==",
                    "3.1.0"
                ]
            ]
        },
        {
            "name": "tzdata",
            "specs": [
                [
                    "==",
                    "2023.3"
                ]
            ]
        }
    ],
    "lcname": "memento-scorecard"
}
        
Elapsed time: 0.24270s