Pymach is a tool to accelerate the development of models based on Machine Learning, check if there are patterns to exploit on a dataset. It aims to develop a first roadmap that gives an idea of the problem we are dealing with. The following pictures best explain the concept behind pymach.

Run using google colab:

Using conda

• conda create -n pymach python=3.6
• source activate pymach
• git clone https://github.com/gusseppe/pymach
• cd pymach
• pip install -r requirements.txt
• cd pymach
• python index.py

Using Docker

• git clone https://github.com/gusseppe/pymach
• cd pymach/pymach
• docker run -it -p 9080:9088 -v ${PWD}:/app gusseppe/pymach python index.py
• Open a browser and enter http://localhost:9080

You can modify the files in your current folder and see the modification in your container.

• Free software: MIT license
• Documentation: https://pymach.readthedocs.io.

• TODO

This package was created using Cookiecutter and the audreyr/cookiecutter-pypackage project template.