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CatBoost

CatBoost is an open-source software library developed by Yandex. It provides a gradient boosting framework which, among other features, attempts to solve for categorical features using a permutation-driven alternative to the classical algorithm. It works on Linux, Windows, macOS, and is available in Python, R, and models built using CatBoost can be used…

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Overview

Open-sourceSoftware libraryYandexGradient boostingLinux
22 related topics

History

MatrixNetCategorical data
2 related topics

Application

JetBrainsCloudflareCareem
3 related topics

Features

Oblivious
1 related topics

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developers
Yandex and CatBoost Contributors
License
Apache License 2.0
Operating system
Linux, macOS, Windows
Original author
Andrey Gulin: / Yandex
Release
July 18, 2017; 9 years ago (2017-07-18)
Stable release
1.2.8 / April 13, 2025; 16 months ago (2025-04-13)

Topics to explore

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Overview

Features

History

Application

Advanced semantic analysis

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Map overview Semantic statistics

CatBoost

Nodes33
Edges32
Triples15
Avg. degree1.94
Density0.060606
Components1

How this topic connects Entity context

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CatBoost

Top relations

related to External links · 2
CatBoost → CatBoostGitHub, Yandex Technology
related to Features · 2
CatBoost → GPU, Native
Developers · 1
CatBoost → Yandex and CatBoost Contributors
License · 1
CatBoost → Apache License 2.0
Operating system · 1
CatBoost → Linux, macOS, Windows
Original author · 1
CatBoost → Andrey Gulin: / Yandex
Release · 1
CatBoost → July 18, 2017; 9 years ago (2017-07-18)
Stable release · 1
CatBoost → 1.2.8 / April 13, 2025; 16 months ago (2025-04-13)
Type · 1
CatBoost → Machine learning
Website · 1
CatBoost → catboost.ai

Important terminology Word statistics

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Important terminology

yandex used machine learning gradient boosting categorical library ml using features open-source linux windows macos python java tools framework available

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
CatBoostDevelopersYandex and CatBoost Contributors1.00infobox
CatBoostLicenseApache License 2.01.00infobox
CatBoostOperating systemLinux, macOS, Windows1.00infobox
CatBoostOriginal authorAndrey Gulin: / Yandex1.00infobox
CatBoostReleaseJuly 18, 2017; 9 years ago (2017-07-18)1.00infobox
CatBoostStable release1.2.8 / April 13, 2025; 16 months ago (2025-04-13)1.00infobox
CatBoostTypeMachine learning1.00infobox
CatBoostWebsitecatboost.ai1.00infobox
CatBoostWritten inPython, R, C++, Java1.00infobox
CatBoostis aopen-source software library developed by Yandex0.90text
CatBoostrelated to ApplicationJetBrains0.60section
CatBoostrelated to External linksCatBoostGitHub0.60section

Related concept clusters Concept neighborhoods

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    Connections between topic areas Semantic bridges

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