catboost/catboost

Add Random Forest mode

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#545 opened on Nov 20, 2018

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feature requesthelp wanted

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Description

Both XGBoost and LightGBM support a "Random Forest" mode.

In XGBoost you set the num_parallel_tree parameter with nrounds=1 (https://xgboost.readthedocs.io/en/latest/R-package/discoverYourData.html#special-note-what-about-random-forests).

In LightGBM you use the boosting='rf' parameter (https://lightgbm.readthedocs.io/en/latest/Parameters.html?highlight=Random%20Forest).

Would it be possible to add a "Random Forest" mode to CatBoost?

Contributor guide

Research direction
Study the Random Forest mode implementations in XGBoost and LightGBM, then explore CatBoost's source code to understand how training parameters are handled and how to add a new boosting mode.
Tech stack
python
Domain
machine learning
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonMachine Learning basicsCatBoost
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
70