optimal-data-selector


Nameoptimal-data-selector JSON
Version 1.2.2 PyPI version JSON
download
home_pageNone
Summary('A Package for optimize models, transfer or copy files from one directory to other, use for nlp short word treatment, choosing optimal data for ML models, use for Image Scraping , use in timeseries problem to split the data into train and test', 'Deal with emojis and emoticons in nlp,word tokenize,token, get the list of Punctuation marks and English Pronouns too, can be used to read text files')
upload_time2024-05-23 15:51:58
maintainerNone
docs_urlNone
authorRohan Majumder
requires_pythonNone
licenseNone
keywords transfer or copy files from one directory to other get best data combination read text files text files lock data combination save data english pronouns punctuations english pronouns model training optimise accuracy lock data combination gives best result best data for ml models works on text data also short word treatment image scraping download images web image scraping timeseries splitting timeseries data into train and test deal with emojis and emoticons emoji emojis emoticon emoticons word tokenize nlp short words short words treatment get best accuracy performence enhancing best data more accurate model building word to token tokenizer
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            A package to increase the accuracy of ML models, transfer or copy files from one directory to other,  gives you the best data for model training, works on text data also, short word treatment for NLP problems, can be used for Image Scraping also, use it to split the timeseries data into training and testing, deal with emojis and emoticons,word tokenizer,tokenize words,can be use to remove stop words too,Punctuations and get English Pronouns list too, use to read text files

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "optimal-data-selector",
    "maintainer": null,
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": null,
    "keywords": "transfer or copy files from one directory to other, get best data combination, read text files, text files, lock data combination, save data, English, Pronouns, Punctuations, English pronouns, Model training, optimise accuracy, lock data combination, gives best result, best data for ML models, works on text data also, short word treatment, Image Scraping, download images, Web Image Scraping, timeseries, splitting timeseries data into train and test, deal with emojis and emoticons, emoji, emojis, emoticon, emoticons, word tokenize, NLP, short words, short words treatment, get best accuracy, performence enhancing, best data, more accurate model building, word to token, tokenizer",
    "author": "Rohan Majumder",
    "author_email": "majumderrohan2001@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/1f/2e/b49ccc621a299f072bd2cb24593df8f4dfc0e81f6abe50fcbd36259017d1/optimal_data_selector-1.2.2.tar.gz",
    "platform": null,
    "description": "A package to increase the accuracy of ML models, transfer or copy files from one directory to other,  gives you the best data for model training, works on text data also, short word treatment for NLP problems, can be used for Image Scraping also, use it to split the timeseries data into training and testing, deal with emojis and emoticons,word tokenizer,tokenize words,can be use to remove stop words too,Punctuations and get English Pronouns list too, use to read text files\r\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "('A Package for optimize models, transfer or copy files from one directory to other, use for nlp short word treatment, choosing optimal data for ML models, use for Image Scraping , use in timeseries problem to split the data into train and test', 'Deal with emojis and emoticons in nlp,word tokenize,token, get the list of Punctuation marks and English Pronouns too, can be used to read text files')",
    "version": "1.2.2",
    "project_urls": null,
    "split_keywords": [
        "transfer or copy files from one directory to other",
        " get best data combination",
        " read text files",
        " text files",
        " lock data combination",
        " save data",
        " english",
        " pronouns",
        " punctuations",
        " english pronouns",
        " model training",
        " optimise accuracy",
        " lock data combination",
        " gives best result",
        " best data for ml models",
        " works on text data also",
        " short word treatment",
        " image scraping",
        " download images",
        " web image scraping",
        " timeseries",
        " splitting timeseries data into train and test",
        " deal with emojis and emoticons",
        " emoji",
        " emojis",
        " emoticon",
        " emoticons",
        " word tokenize",
        " nlp",
        " short words",
        " short words treatment",
        " get best accuracy",
        " performence enhancing",
        " best data",
        " more accurate model building",
        " word to token",
        " tokenizer"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "ff54c162b1fb90761ff888a15b1adf8f930536065383d4a3c3c33c9249667be4",
                "md5": "47882df0f370ef850acad7f591dd3c28",
                "sha256": "fcd844e118c43770d5abc1b5f06ca3b74cf19d4ab2d492d9d4f35136708b6aaf"
            },
            "downloads": -1,
            "filename": "optimal_data_selector-1.2.2-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "47882df0f370ef850acad7f591dd3c28",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 24424,
            "upload_time": "2024-05-23T15:51:56",
            "upload_time_iso_8601": "2024-05-23T15:51:56.428325Z",
            "url": "https://files.pythonhosted.org/packages/ff/54/c162b1fb90761ff888a15b1adf8f930536065383d4a3c3c33c9249667be4/optimal_data_selector-1.2.2-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "1f2eb49ccc621a299f072bd2cb24593df8f4dfc0e81f6abe50fcbd36259017d1",
                "md5": "84112f57fc4f22bf170dd40b586d5a57",
                "sha256": "5ca857fd6267893a7451b26292bc64839df9689801d7ef8df0d8cce608a426c5"
            },
            "downloads": -1,
            "filename": "optimal_data_selector-1.2.2.tar.gz",
            "has_sig": false,
            "md5_digest": "84112f57fc4f22bf170dd40b586d5a57",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 23018,
            "upload_time": "2024-05-23T15:51:58",
            "upload_time_iso_8601": "2024-05-23T15:51:58.172132Z",
            "url": "https://files.pythonhosted.org/packages/1f/2e/b49ccc621a299f072bd2cb24593df8f4dfc0e81f6abe50fcbd36259017d1/optimal_data_selector-1.2.2.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-05-23 15:51:58",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "optimal-data-selector"
}
        
Elapsed time: 3.64091s