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        "description": "# The Cloudframe Data Scientist Simple Enabler\n\nAt Cloudframe we employ teams of Data Scientists, Data Engineers, and Software Developers.  Check us out at [http://cloudframe.io](http://cloudframe.io \"Cloudframe website\")\n\nIf you're interested in joining our team as a Data Scientist see here: [Bid Prediction Repo](https://github.com/cloudframe/texas-bid-prediction).  There you'll find a fun problem and more info about our evergreen positions for Data Scientists, Data Engineers, and Software Developers.\n\nThis package contains modules that are used to smooth the data science workflow.  \n\n## Installation\n\n`pip install cloudframe`\n\n## Dependencies\n\nThis package uses JSON and YAML to store and fetch model objects.  \n\n* `pyyaml`\n* `json`\n\n## Structure\n\n```\n| cloudframe/\n|\n|-- model_tracker/\n|   |-- __init__.py\n|   |-- tracker.py\n|\n|-- Manifest.in\n|-- README.md\n|-- setup.py\n```\n\n## Usage\n\nPlaceholder... where `best` below is a valid model object.\n\n\n```\nfrom cloudframe.model_tracker import tracker\n\ntracker = tracker.project(name = 'myproject', dirpath = '\\dir\\to\\models\\')\ntracker.initialize()\n\ntracker.add(best)\n```\n\n",
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        "name": "cloudframe",
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