This program was made to visualize MLLib Random Forests. Running this program with a supplied trees file generates
visual version of the trees. You can get this from printing out the debug string of the generated model. In python that is:
model.toDebugString()
Run:
python eurekatrees.py --trees ./sample_files/trees.txt
If you have a csv with the names of your features you can run that command with the columns switch.
python eurekatrees.py --trees ./sample_files/trees.txt --columns ./sample_files/columns.csv
The output are a bunch of HTML files. If you open up the file home.html it should allow you to easily navigate to each of your trees.
Example Tree:
