This fork implements a few machine learning algorithms using Scikit-Learn

Full list of implemented nodes here

Kaggle Titanic competition solved with this fork of Ryven here

Continuing is the original readme:

Ey, what's up! Please visit the website

• Python 3 (3.8+ recommended)
• PySide2 (2.14+ recommended)

• please use the lastest release
• a complete requirements file is in the root folder
• If you experiment a lot, you maybe should set up a virtual env, like this (Windows example):

<open cmd>
cd <to your Ryven folder (the outer one)>
python -m venv venv
venv/Scripts/activate
pip install -r requirements.txt

• advanced source code editor widget, with syntax highlighting and autocomplete for Ryven, the NodeManager and an intuitive code node (where one can just program the node inside the editor by writing the code into the widget)
• visual content: logos and splash screen
• a visually appealing Jupyter integration (the native Jupyter QtConsole I didn't like in terms of appearence and functionality)