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.