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A light set of supporting modules to assist the data science workflow based on Cloudframe's proprietary data science enablers

Project 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

If you're interested in joining our team as a Data Scientist see here: Bid Prediction Repo. 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)

Project details


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