Attempt to create a tool able to benchmark and compare the performance of different machine learning algorithm.
This tool intend to provide a comprehensive interface to implements many different algorithms, and run them on different problems and with different datasets. The types that will be handled are:
- Optimization
- Clustering
- Classification
You will need to install python in version 2.7 and pip. Then, run the following commands:
> pip install virtualenv
> virtualenv .env --no-site-package
> ./go.sh
The last command will install all required packages, then run the server of the application.
The following command will start the application's server:
> ./go.sh
Then, access to the url: localhost:5000
in your browser to display the main UI.