Catboost: Plot model decision tree in CatBoost Python API

[saj1919]

Problem: Not able to figure out how to plot decision tree once the model is created. I was thinking something terms similar to here --> xgboost decision tree
Let me know if there exist any way to do the same Or let us know if this can be added as a feature.

catboost version: 0.8.1

Operating System: Ubuntu 16.04

Machine: aws t2.xlarge

[franz101]

Also looking for help

[isudos]

Is there any news on this issue? The functional would be very useful for model analysis.

[annaveronika]

For model analysis you can use logging_level='Info' and you will see which features are used in each tree.

[annaveronika]

This functionality is added in catboost 0.15