space-wrap


Namespace-wrap JSON
Version 0.0.3 PyPI version JSON
download
home_pagehttps://github.com/eanthony1224
SummaryAutomated Spacy wrapper to turn plain text into Spacy doc objects
upload_time2023-01-27 21:46:55
maintainer
docs_urlNone
authorEvan Anthony
requires_python
licenseMIT
keywords spacy tokenizer nlp
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # space_wrap
Converts NLP data into spacy-ready format

This package takes your text data in pandas dataframe format and converts it to a ready-to-train format for Spacy models. 




1/27/23 Initial package push

1/27/23 Package updates

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/eanthony1224",
    "name": "space-wrap",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "Spacy,tokenizer,NLP",
    "author": "Evan Anthony",
    "author_email": "anthonyevanm@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/3b/1a/ca23c8e3d4c5806e329ca0a1ffa4660e716754fa11791f089ef06921bf9f/space_wrap-0.0.3.tar.gz",
    "platform": null,
    "description": "# space_wrap\nConverts NLP data into spacy-ready format\n\nThis package takes your text data in pandas dataframe format and converts it to a ready-to-train format for Spacy models. \n\n\n\n\n1/27/23 Initial package push\n\n1/27/23 Package updates\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Automated Spacy wrapper to turn plain text into Spacy doc objects",
    "version": "0.0.3",
    "split_keywords": [
        "spacy",
        "tokenizer",
        "nlp"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "3b06081fd0331f956f81cf9eed3da29abd967f65a69034a07b6b0bd5353a1d0a",
                "md5": "80aa08f226e2e2de9f6632ac4ba6f400",
                "sha256": "2ef33033f011545c81128e2af7095615009de368f4319f3fe22eca9760add070"
            },
            "downloads": -1,
            "filename": "space_wrap-0.0.3-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "80aa08f226e2e2de9f6632ac4ba6f400",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 2764,
            "upload_time": "2023-01-27T21:46:54",
            "upload_time_iso_8601": "2023-01-27T21:46:54.287408Z",
            "url": "https://files.pythonhosted.org/packages/3b/06/081fd0331f956f81cf9eed3da29abd967f65a69034a07b6b0bd5353a1d0a/space_wrap-0.0.3-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "3b1aca23c8e3d4c5806e329ca0a1ffa4660e716754fa11791f089ef06921bf9f",
                "md5": "bc584ed34b7dc9615763c630a9926401",
                "sha256": "c851319f43dc57fb37961ee738e40f2a48f9812f6141e90a8afeed04a29410d1"
            },
            "downloads": -1,
            "filename": "space_wrap-0.0.3.tar.gz",
            "has_sig": false,
            "md5_digest": "bc584ed34b7dc9615763c630a9926401",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 2601,
            "upload_time": "2023-01-27T21:46:55",
            "upload_time_iso_8601": "2023-01-27T21:46:55.664908Z",
            "url": "https://files.pythonhosted.org/packages/3b/1a/ca23c8e3d4c5806e329ca0a1ffa4660e716754fa11791f089ef06921bf9f/space_wrap-0.0.3.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-01-27 21:46:55",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "lcname": "space-wrap"
}
        
Elapsed time: 0.04860s