pyannote.metrics


Namepyannote.metrics JSON
Version 3.2.1 PyPI version JSON
download
home_pagehttps://pyannote.github.io/pyannote-metrics
Summarya toolkit for reproducible evaluation, diagnostic, and error analysis of speaker diarization systems
upload_time2022-06-20 14:10:34
maintainer
docs_urlhttps://pythonhosted.org/pyannote.metrics/
authorHerve Bredin
requires_python
license
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
            

Raw data

            {
    "_id": null,
    "home_page": "https://pyannote.github.io/pyannote-metrics",
    "name": "pyannote.metrics",
    "maintainer": "",
    "docs_url": "https://pythonhosted.org/pyannote.metrics/",
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "",
    "author": "Herve Bredin",
    "author_email": "bredin@limsi.fr",
    "download_url": "https://files.pythonhosted.org/packages/39/2b/6c5f01d3c49aa1c160765946e23782ca6436ae8b9bc514b56319ff5f16e7/pyannote.metrics-3.2.1.tar.gz",
    "platform": null,
    "description": "",
    "bugtrack_url": null,
    "license": "",
    "summary": "a toolkit for reproducible evaluation, diagnostic, and error analysis of speaker diarization systems",
    "version": "3.2.1",
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "6c7d035b370ab834b30e849fe9cd092b7bd7f321fcc4a2c56b84e96476b7ede5",
                "md5": "35d911585eaad7039a7b813b172ffb53",
                "sha256": "46be797cdade26c82773e5018659ae610145260069c7c5bf3d3c8a029ade8e22"
            },
            "downloads": -1,
            "filename": "pyannote.metrics-3.2.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "35d911585eaad7039a7b813b172ffb53",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 51386,
            "upload_time": "2022-06-20T14:10:32",
            "upload_time_iso_8601": "2022-06-20T14:10:32.621134Z",
            "url": "https://files.pythonhosted.org/packages/6c/7d/035b370ab834b30e849fe9cd092b7bd7f321fcc4a2c56b84e96476b7ede5/pyannote.metrics-3.2.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "392b6c5f01d3c49aa1c160765946e23782ca6436ae8b9bc514b56319ff5f16e7",
                "md5": "3c8f3363ce2a16232b5a530a4bda4323",
                "sha256": "08024255a3550e96a8e9da4f5f4af326886548480de891414567c8900920ee5c"
            },
            "downloads": -1,
            "filename": "pyannote.metrics-3.2.1.tar.gz",
            "has_sig": false,
            "md5_digest": "3c8f3363ce2a16232b5a530a4bda4323",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 49086,
            "upload_time": "2022-06-20T14:10:34",
            "upload_time_iso_8601": "2022-06-20T14:10:34.618653Z",
            "url": "https://files.pythonhosted.org/packages/39/2b/6c5f01d3c49aa1c160765946e23782ca6436ae8b9bc514b56319ff5f16e7/pyannote.metrics-3.2.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2022-06-20 14:10:34",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "lcname": "pyannote.metrics"
}
        
Elapsed time: 0.03193s