MariusAnje / CAM_DT

Decision Trees for CAM

CAM_DT

Random Forest for CAM.

This project is majorly using python.

General Functions

1. Calculate the size of CAM needed for a given random forest.

2. Retrain a random forest so that it can have smaller sizes.

Files

• compact_RF.py: the main file that takes in a random forest and offers a compact counterpart of it.
• modules.py: this file includes self defined modules: (1) Decision Tree and (2) Random Forest. Both modules are based on scikit-learn.
• utils.py: utility function needed.
• trained_RandomForest.joblib: a pretrained random forest with 100 trees each depth of 5.
• *.ipynb: debug files that can be ignored.