{
    "info": {
        "author": "Pranjal-Vijay",
        "author_email": "pranjalvijaykota@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3.6"
        ],
        "description": "seq2class is a one stop solution for text classification. Text classification is made easy via seq2class package using sequential model(LSTM). This package is build by harnesing the capabilities of  LSTM(Long short term Memory) model.\n\nRequirement\n------------\n\nseq2class support Python 3.6 or newer.\n\nInstallation\n------------\n\n\n    pip install seq2class\n\nExample\n-------------\n\nThis package is being developed for text classification using sequential model.\n\n\tdata = 'movies.csv'\n\tlabels = 'title'\n\ttext = 'genres'\n\n\ts = Sequence2class()\n\tX_train, X_test, y_train, y_test = s.train_test_split(data, labels, text)\n\ttrained_model = s.fit_train(X_train, y_train, 500, 50, 7789, 5, 4)\n\tprediction = s.predict(trained_model, X_test, y_train, 4)\n\n\nwhere ``movies.csv`` is a training file containing text and labels.\n\nReferences\n----------\n\nDataSet information\n~~~~~~~~~~~~~~~~~~~\n\n[1]  movies.csv dataset have been used for research purpose from this `*link* <http://files.grouplens.org/datasets/movielens/ml-latest-small.zip>`.",
        "description_content_type": "text/markdown",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "",
        "keywords": "",
        "license": "",
        "maintainer": "",
        "maintainer_email": "",
        "name": "seq2class",
        "package_url": "https://pypi.org/project/seq2class/",
        "platform": "",
        "project_url": "https://pypi.org/project/seq2class/",
        "project_urls": null,
        "release_url": "https://pypi.org/project/seq2class/0.3.0/",
        "requires_dist": null,
        "requires_python": "",
        "summary": "seq2class is developed for text classification using LSTM",
        "version": "0.3.0"
    },
    "last_serial": 4891547,
    "releases": {
        "0.1.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "971402865ffd619697fcc12cc9104e9f",
                    "sha256": "8a47ef38b7cbf2a10cf77796da5b0e2d33d2536d58fd1accba9f15bc03c986a6"
                },
                "downloads": -1,
                "filename": "seq2class-0.1.0.tar.gz",
                "has_sig": false,
                "md5_digest": "971402865ffd619697fcc12cc9104e9f",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 1276,
                "upload_time": "2019-02-27T18:29:20",
                "url": "https://files.pythonhosted.org/packages/ad/b3/36eb66566ebb24bf0dcdadac6359cf692e05c7132ddec2546f999635eab4/seq2class-0.1.0.tar.gz"
            }
        ],
        "0.2.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "16df265cff26ed60b44cccca0583f5df",
                    "sha256": "c76c89bc2bcf3c25c75ba7a06c77fb772b3271418a816baf3bb55ec83d490b10"
                },
                "downloads": -1,
                "filename": "seq2class-0.2.0.tar.gz",
                "has_sig": false,
                "md5_digest": "16df265cff26ed60b44cccca0583f5df",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 1649,
                "upload_time": "2019-03-03T18:55:19",
                "url": "https://files.pythonhosted.org/packages/70/65/404b420748ba39635827b0995f204da292d35be493856c407ddcb9fd7354/seq2class-0.2.0.tar.gz"
            }
        ],
        "0.3.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "f0fd9b264805700cdaf2a413148eff6e",
                    "sha256": "0cc7afdad78837bcf8132739f275cb1402b6a4a6270b83137a5c84f971dab56b"
                },
                "downloads": -1,
                "filename": "seq2class-0.3.0.tar.gz",
                "has_sig": false,
                "md5_digest": "f0fd9b264805700cdaf2a413148eff6e",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 1593,
                "upload_time": "2019-03-03T19:01:06",
                "url": "https://files.pythonhosted.org/packages/98/ed/61ed05ce36f2a2ff3cc309b84d037cb1abcd4b2f9b4e6e05e733412ea1fe/seq2class-0.3.0.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "f0fd9b264805700cdaf2a413148eff6e",
                "sha256": "0cc7afdad78837bcf8132739f275cb1402b6a4a6270b83137a5c84f971dab56b"
            },
            "downloads": -1,
            "filename": "seq2class-0.3.0.tar.gz",
            "has_sig": false,
            "md5_digest": "f0fd9b264805700cdaf2a413148eff6e",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 1593,
            "upload_time": "2019-03-03T19:01:06",
            "url": "https://files.pythonhosted.org/packages/98/ed/61ed05ce36f2a2ff3cc309b84d037cb1abcd4b2f9b4e6e05e733412ea1fe/seq2class-0.3.0.tar.gz"
        }
    ]
}