Treelib: Decision Trees for Apache SPARK

This repository focus on a possible implementation of decision trees, random forests and a series of "utilities" for Apache SPARK.

Decision trees:

• Regression Trees are implemented based on the CART algorithm
• Classification Trees come in two flavors: Binary Classification Trees (implemented based on CART) and Multi-way Classification Trees (implemented based on ID3).
• Pruning follows the methodology ...
• Random forests are implemented using ...

Have a look at our WIKI to learn more about Treelib!