Hey everyone!

Here's morfist, a Multi-target Random Forest implementation that can mix both classification and regression tasks.

Morfist implements the Random Forest algorithm (Breiman, 2001) with support for mixed-task multi-task learning, i.e., it is possible to train the model on any number of classification tasks and regression tasks, simultaneously.

Morfist's mixed multi-task learning implementation follows that proposed by Linusson (2013).

Although it's initially not my code, I've been working on refining the implementation for a while now, and it reached a point where I feel it's worth to show it to the world.