{
    "info": {
        "author": "shuzhouz",
        "author_email": "shuzhouz@umich.edu",
        "bugtrack_url": null,
        "classifiers": [],
        "description": "Python package use cuda to normalize input variables using cuda package in ATLAS analysis\n\nFunction use to do Guassian Normalization:\nMean:\n$$\\mu_{i}=\\frac{\\sum x_{i}\\times w_{i}}{\\sum w_{i}}$$\nVariance:\n$$\\sigma_{i}=\\frac{\\sum (x_{i}-\\mu_{i})^{2}\\times w_{i}}{\\frac{N-1}{N}\\times\\sum w_{i}}$$\nNormalized input feature:\n$$\\bar{x_{i}}=\\frac{x_{i}-\\mu_{i}}{\\sigma_{i}}$$\n\nMain function: guass_normal((1),(2),(3))\n\nInput:\n\n(1):Numpy array contain all input features you want to normalize.\n(2):Numpy array used to calculate each feature's mean and variance.\n(3):1-d Numpy array contains each events weight in (2)\n\n(1) and (2) must have the same number of columns.\n\ncuda_cut((1),(2),(3)): Used to calculate event yield after applying DNN cut.\n\nInput:\n(1): 1-d numpy array include the variable  you want to cut.\n(2): 1-d numpy array include event weight.\n(3): cut threshold \n\n\n",
        "description_content_type": "text/markdown",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "",
        "keywords": "",
        "license": "MIT",
        "maintainer": "",
        "maintainer_email": "",
        "name": "cuda-guass-normal",
        "package_url": "https://pypi.org/project/cuda-guass-normal/",
        "platform": "",
        "project_url": "https://pypi.org/project/cuda-guass-normal/",
        "project_urls": null,
        "release_url": "https://pypi.org/project/cuda-guass-normal/0.1/",
        "requires_dist": null,
        "requires_python": ">=3.6",
        "summary": "A package used in DNN trainning in ATLAS analysis",
        "version": "0.1"
    },
    "last_serial": 5896183,
    "releases": {
        "0.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "c1b1714014f2869ffb211f5755a8a7ed",
                    "sha256": "270b0edfbae4cb78ab0e8c7954ba841108579f254eb33748eb8abdf27a7d4e3c"
                },
                "downloads": -1,
                "filename": "cuda_guass_normal-0.1-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "c1b1714014f2869ffb211f5755a8a7ed",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": ">=3.6",
                "size": 3621,
                "upload_time": "2019-09-27T13:40:51",
                "url": "https://files.pythonhosted.org/packages/a6/87/0c1b63e6c47a3c9481fac7e7011bc260e8b2aef0ff28c37bec1756d3c41e/cuda_guass_normal-0.1-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "c7c2e38a481b66ba437f0a020cd4211f",
                    "sha256": "809062a374e8976772d9e47a5fbda11482736ad1cc3443162ac0758a9804c8ed"
                },
                "downloads": -1,
                "filename": "cuda_guass_normal-0.1.tar.gz",
                "has_sig": false,
                "md5_digest": "c7c2e38a481b66ba437f0a020cd4211f",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.6",
                "size": 2412,
                "upload_time": "2019-09-27T13:40:53",
                "url": "https://files.pythonhosted.org/packages/ad/f4/98f8740933171e40559e3a8ef5e8e57b5922f48b7ffd94f51f8fe09bd6f7/cuda_guass_normal-0.1.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "c1b1714014f2869ffb211f5755a8a7ed",
                "sha256": "270b0edfbae4cb78ab0e8c7954ba841108579f254eb33748eb8abdf27a7d4e3c"
            },
            "downloads": -1,
            "filename": "cuda_guass_normal-0.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "c1b1714014f2869ffb211f5755a8a7ed",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.6",
            "size": 3621,
            "upload_time": "2019-09-27T13:40:51",
            "url": "https://files.pythonhosted.org/packages/a6/87/0c1b63e6c47a3c9481fac7e7011bc260e8b2aef0ff28c37bec1756d3c41e/cuda_guass_normal-0.1-py3-none-any.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "c7c2e38a481b66ba437f0a020cd4211f",
                "sha256": "809062a374e8976772d9e47a5fbda11482736ad1cc3443162ac0758a9804c8ed"
            },
            "downloads": -1,
            "filename": "cuda_guass_normal-0.1.tar.gz",
            "has_sig": false,
            "md5_digest": "c7c2e38a481b66ba437f0a020cd4211f",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.6",
            "size": 2412,
            "upload_time": "2019-09-27T13:40:53",
            "url": "https://files.pythonhosted.org/packages/ad/f4/98f8740933171e40559e3a8ef5e8e57b5922f48b7ffd94f51f8fe09bd6f7/cuda_guass_normal-0.1.tar.gz"
        }
    ]
}