{
    "info": {
        "author": "Sven Boesiger",
        "author_email": "ronnysven@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Software Development :: Build Tools"
        ],
        "description": "TFMongoDB\n=========\n\nTFMongoDB is a C++ implemented dataset op for google's tensorflow that allows you\nto connect to your MongoDatabase natively. Hence you can access your mongodb stored\ndocuments more efficiently.\n\nCurrently only MacOS X is supported while Tensorflow >= 1.5 is required.\n\n----\n\nInstallation\n------------\nIn order to use the dataset you need to install it with pip::\n\n\tpip install tfmongodb\n\n----\n\n\nUsage\n-----\nTFMongoDB can be accessed through the MongoDBDataset::\n\n\n\tdataset = MongoDBDataset(<database_name>, <collection_name>)\n\nexample::\n\n\n    from tfmongodb import MongoDBDataset\n    from tensorflow.python.framework import ops\n    from tensorflow.python.data.ops import iterator_ops\n    import tensorflow as tf\n\n    CSV_TYPES = [[\"\"], [\"\"], [0]]\n\n    def _parse_line(line):\n        fields = tf.decode_csv(line, record_defaults=CSV_TYPES)\n        return fields\n\n    dataset = MongoDBDataset(\"eccounting\", \"creditors\")\n    dataset = dataset.map(_parse_line)\n    repeat_dataset2 = dataset.repeat()\n    batch_dataset = repeat_dataset2.batch(20)\n\n    iterator = iterator_ops.Iterator.from_structure(batch_dataset.output_types)\n    #init_op = iterator.make_initializer(dataset)\n    init_batch_op = iterator.make_initializer(batch_dataset)\n    get_next = iterator.get_next()\n\n\n    with tf.Session() as sess:\n        # Basic test: read from topic 0.\n        sess.run(init_batch_op, feed_dict={})\n\n        for i in range(5):\n            print(sess.run(get_next))\n\n\n\n",
        "description_content_type": "",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://tfmongodb.org",
        "keywords": "tensorflow mongodb datascience",
        "license": "",
        "maintainer": "",
        "maintainer_email": "",
        "name": "TFMongoDB",
        "package_url": "https://pypi.org/project/TFMongoDB/",
        "platform": "",
        "project_url": "https://pypi.org/project/TFMongoDB/",
        "project_urls": {
            "Homepage": "https://tfmongodb.org"
        },
        "release_url": "https://pypi.org/project/TFMongoDB/0.1.3/",
        "requires_dist": [
            "tensorflow"
        ],
        "requires_python": "",
        "summary": "A Tensorflow MongoDB connector",
        "version": "0.1.3"
    },
    "last_serial": 5007369,
    "releases": {
        "0.1.2": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "20185180fd4f6987abce0272600f005a",
                    "sha256": "3564fff95b8fd1e2f03dea624383eae239cccee854ac9e590ddbced48ce7f968"
                },
                "downloads": -1,
                "filename": "TFMongoDB-0.1.2-cp27-cp27m-macosx_10_13_x86_64.whl",
                "has_sig": false,
                "md5_digest": "20185180fd4f6987abce0272600f005a",
                "packagetype": "bdist_wheel",
                "python_version": "cp27",
                "requires_python": null,
                "size": 65106,
                "upload_time": "2018-02-16T11:29:41",
                "url": "https://files.pythonhosted.org/packages/68/a0/ea375cdd36d5efffd3d4f0a7a2c295b5bf18cdb1144db6e978a98ef50682/TFMongoDB-0.1.2-cp27-cp27m-macosx_10_13_x86_64.whl"
            }
        ],
        "0.1.3": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "b065d410ea710be9d7d532b6920bc9b0",
                    "sha256": "af0c1f00a5508f0af5750adcc35f1400ed35c5b8eda3878d6a5f420957823b29"
                },
                "downloads": -1,
                "filename": "TFMongoDB-0.1.3-cp37-cp37m-macosx_10_14_x86_64.whl",
                "has_sig": false,
                "md5_digest": "b065d410ea710be9d7d532b6920bc9b0",
                "packagetype": "bdist_wheel",
                "python_version": "cp37",
                "requires_python": null,
                "size": 73530,
                "upload_time": "2019-03-30T15:44:41",
                "url": "https://files.pythonhosted.org/packages/31/33/94a4f16ff19abaf288297096ec02498770a79cb943d3f7678884e7f2892c/TFMongoDB-0.1.3-cp37-cp37m-macosx_10_14_x86_64.whl"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "b065d410ea710be9d7d532b6920bc9b0",
                "sha256": "af0c1f00a5508f0af5750adcc35f1400ed35c5b8eda3878d6a5f420957823b29"
            },
            "downloads": -1,
            "filename": "TFMongoDB-0.1.3-cp37-cp37m-macosx_10_14_x86_64.whl",
            "has_sig": false,
            "md5_digest": "b065d410ea710be9d7d532b6920bc9b0",
            "packagetype": "bdist_wheel",
            "python_version": "cp37",
            "requires_python": null,
            "size": 73530,
            "upload_time": "2019-03-30T15:44:41",
            "url": "https://files.pythonhosted.org/packages/31/33/94a4f16ff19abaf288297096ec02498770a79cb943d3f7678884e7f2892c/TFMongoDB-0.1.3-cp37-cp37m-macosx_10_14_x86_64.whl"
        }
    ]
}