PyNomaly


NamePyNomaly JSON
Version 0.3.3 PyPI version JSON
download
home_pagehttps://github.com/vc1492a/PyNomaly
SummaryA Python 3 implementation of LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].
upload_time2020-05-30 15:58:20
maintainer
docs_urlNone
authorValentino Constantinou
requires_python
licenseApache License, Version 2.0
keywords outlier anomaly detection machine learning probability
VCS
bugtrack_url
requirements numpy python-utils
Travis-CI
coveralls test coverage No coveralls.
            
            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/vc1492a/PyNomaly",
    "name": "PyNomaly",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "outlier,anomaly,detection,machine,learning,probability",
    "author": "Valentino Constantinou",
    "author_email": "vc@valentino.io",
    "download_url": "https://files.pythonhosted.org/packages/73/3d/585ad56ce7cf70bf0ffac25db9af6d68d31711ef9f875fa60290ceb0b6cb/PyNomaly-0.3.3.tar.gz",
    "platform": "",
    "description": "",
    "bugtrack_url": null,
    "license": "Apache License, Version 2.0",
    "summary": "A Python 3 implementation of LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].",
    "version": "0.3.3",
    "split_keywords": [
        "outlier",
        "anomaly",
        "detection",
        "machine",
        "learning",
        "probability"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "00ef6e3bf729d4105628268762472cde",
                "sha256": "8bf89d904eccccde581fc27d90295bb4a7e9de6cc3a2dd726fdd79df8678e0bd"
            },
            "downloads": -1,
            "filename": "PyNomaly-0.3.3.tar.gz",
            "has_sig": false,
            "md5_digest": "00ef6e3bf729d4105628268762472cde",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 8320,
            "upload_time": "2020-05-30T15:58:20",
            "upload_time_iso_8601": "2020-05-30T15:58:20.786652Z",
            "url": "https://files.pythonhosted.org/packages/73/3d/585ad56ce7cf70bf0ffac25db9af6d68d31711ef9f875fa60290ceb0b6cb/PyNomaly-0.3.3.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2020-05-30 15:58:20",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "github_user": "vc1492a",
    "github_project": "PyNomaly",
    "travis_ci": true,
    "coveralls": false,
    "github_actions": false,
    "requirements": [
        {
            "name": "numpy",
            "specs": [
                [
                    ">=",
                    "1.12.0"
                ]
            ]
        },
        {
            "name": "python-utils",
            "specs": [
                [
                    ">=",
                    "2.3.0"
                ]
            ]
        }
    ],
    "lcname": "pynomaly"
}
        
Elapsed time: 0.01318s