Metadata-Version: 2.1
Name: cloudframe
Version: 0.0.1
Summary: A light set of supporting modules to assist the data science workflow based on Cloudframe's proprietary data science enablers
Home-page: https://github.com/cloudframe/cloudframe
Author: Cloudframe Analytics
Author-email: info@cloudframe.io
License: MIT
Description: # The Cloudframe Data Scientist Simple Enabler
        
        At Cloudframe we employ teams of Data Scientists, Data Engineers, and Software Developers.  Check us out at [http://cloudframe.io](http://cloudframe.io "Cloudframe website")
        
        If 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.
        
        This package contains modules that are used to smooth the data science workflow.  
        
        ## Installation
        
        `pip install cloudframe`
        
        ## Dependencies
        
        This package uses JSON and YAML to store and fetch model objects.  
        
        * `pyyaml`
        * `json`
        
        ## Structure
        
        ```
        | cloudframe/
        |
        |-- model_tracker/
        |   |-- __init__.py
        |   |-- tracker.py
        |
        |-- Manifest.in
        |-- README.md
        |-- setup.py
        ```
        
        ## Usage
        
        Placeholder... where `best` below is a valid model object.
        
        
        ```
        from cloudframe.model_tracker import tracker
        
        tracker = tracker.project(name = 'myproject', dirpath = '\dir\to\models\')
        tracker.initialize()
        
        tracker.add(best)
        ```
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
