CatBoost

CatBoost is a machine learning method based on gradient boosting over decision trees.

Logo

../_images/catboost_catboost-small.png

Website

https://catboost.ai/

Repository

https://github.com/catboost/catboost

Byline

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

License

Apache 2.0

Project age

3 years 10 months

Backers

Yandex (Creator and maintainer)

Lastest News (2021-06-03)

Catboost release 0.26 Model evaluation on GPU; support Langevin on GPU; save class labels to models in cross validation; rturn models … more

Size score (1 to 10, higher is better)

9.25

Trend score (1 to 10, higher is better)

7.75

Education Resources

URL

Resource Type

Description

https://catboost.ai/docs/concepts/about.html

Documentation

Official project documentation.

Git Commit Statistics

Statistics computed using Git data through May 31, 2021.

Statistic

Lifetime

Last 12 Months

Commits

63,803

50,414

Lines committed

265,605,917

172,348,316

Unique committers

738

339

Core committers

12

5

../_images/catboost_catboost-monthly-commits.png

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