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    "info": {
        "author": "Shotaro Kohama",
        "author_email": "khmshtr28@gmail.com",
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            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
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        "description": "# labgsheet: Labnotes on Google Sheet\n\n[![Build Status](https://travis-ci.org/shotarok/labgsheet.svg?branch=master)](https://travis-ci.org/shotarok/labgsheet)\n\nA python library to note ml experiments on google sheet.\n\n`labgsheet` provides an easy way to note ml experiments on Google Sheet.\n\n## At a Glance\n\nYou can use `labgsheet` in cosole like following:\n\n```python\n# prepare for worksheet by gspread\n>>> import gspread\n>>> from oauth2client.service_account import ServiceAccountCredentials\n>>> scope = ['https://spreadsheets.google.com/feeds', 'https://www.googleapis.com/auth/drive']\n# download credentials.json previously from Google Developers Console\n>>> credentials = ServiceAccountCredentials.from_json_keyfile_name('credentials.json', scope)\n>>> gc = gspread.authorize(credentials)\n>>> ws = gc.create(\"Test for labgsheets\").sheet1\n# note an experiment where params and a metric are used\n>>> from labgsheet import Experiment\n>>> exp = Experiment(ws)\n>>> exp.log_multi_params({'l1': 0.5, 'C': 10})\n>>> exp.log_metric('aupr', 0.2345)\n```\n\nYou can also use `labgsheet` in [Google Colaboratory](colab.research.google.com) like following:\n\n```python\n! pip install labgsheet\n! pip install --upgrade -q gspread\n\nfrom google.colab import auth\nauth.authenticate_user()\n\nimport gspread\nfrom oauth2client.client import GoogleCredentials\n\ngc = gspread.authorize(GoogleCredentials.get_application_default())\nws = gc.create(\"Test for labgsheets\").sheet1\n\nfrom labgsheet import Experiment\nexp = Experiment(ws)\nexp.log_multi_params({'l1': 0.5, 'C': 10})\nexp.log_metric('aupr', 0.2345)\n```\n\nAfter logging, you can get a google sheet like below:\n\n![image](https://user-images.githubusercontent.com/1156179/39610145-551243a6-4f89-11e8-9e56-e52057e173e0.png)\n\n## Installation\n\nTo install `labgsheet`, use pipenv (or pip):\n\n```shell\n$ pipenv install labgsheet\n```\n\n## Contribution\n\n1. Fork\n2. Create a feature branch\n3. Commit your changes\n4. Rebase your local changes against the master branch\n5. Create new Pull Request\n\n## License\n\n[MIT](https://github.com/shotarok/labgsheet/blob/master/LICENSE)\n\n## Author\n\n[Shotaro Kohama](https://github.com/shotarok)\n\n",
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