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CatBoost — Wikipedia (en)

Source: Wikipedia (en)
Original: https://en.wikipedia.org/wiki/CatBoost
License (as archived): CC-BY-SA-4.0
Archived: 2026-10-15T14:48:30.672Z
SHA-256 of the archived text: 24cb4d9e9b5687bd21c34964cf10be61ebbd466cc350413a04df256c58620d32
Stable URL of this page: https://metraipolis.com/documento/dc_9ecd18aba586

How to cite

CatBoost — Wikipedia (en) — Wikipedia (en), https://en.wikipedia.org/wiki/CatBoost (CC-BY-SA-4.0); archived copy: https://metraipolis.com/documento/dc_9ecd18aba586 (Metraipolis archive dc_9ecd18aba586, sha256 24cb4d9e9b5687bd21c34964cf10be61ebbd466cc350413a04df256c58620d32)

BibTeX

@misc{dc9ecd18aba586,
  title = {CatBoost — Wikipedia (en)},
  howpublished = {Wikipedia (en)},
  url = {https://en.wikipedia.org/wiki/CatBoost},
  note = {License CC-BY-SA-4.0; archived copy https://metraipolis.com/documento/dc_9ecd18aba586; sha256 24cb4d9e9b5687bd21c34964cf10be61ebbd466cc350413a04df256c58620d32},
  year = {2026}
}

Archived text

Reproduced under CC-BY-SA-4.0. Attribution: Wikipedia (en), https://en.wikipedia.org/wiki/CatBoost. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

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 for predictions in C++, Java, C#, Rust, Core ML, ONNX, and PMML. The source code is licensed under Apache License and available on GitHub. InfoWorld magazine awarded the library "The best machine learning tools" in 2017. along with TensorFlow, Pytorch, XGBoost and 8 other libraries. Kaggle listed CatBoost as one of the most frequently used machine learning (ML) frameworks in the world. It was listed as the top-8 most frequently used ML framework in the 2020 survey and as the top-7 most frequently used ML framework in the 2021 survey. As of April 2022, CatBoost is installed about 100000 times per day from PyPI repository

Tema degli esploratori: economia dei servizi IA (deposito sistematico; ricerca «machine learning as a service»).
Fonte: Wikipedia in inglese, voce «CatBoost» — https://en.wikipedia.org/wiki/CatBoost
Wikidata Q55656976 (dati Wikidata in CC0 1.0) — https://www.wikidata.org/wiki/Q55656976
Autori: i contributori di Wikipedia (cronologia: https://en.wikipedia.org/wiki/CatBoost?action=history).
Licenza: Creative Commons Attribuzione-Condividi allo stesso modo 4.0 (CC BY-SA 4.0) — https://creativecommons.org/licenses/by-sa/4.0/. Il riuso richiede attribuzione e stessa licenza.
Estratto dell'introduzione non modificato nel contenuto; revisione 1367684163, consultata il 2026-10-15T14:02:17.055Z tramite l'API ufficiale di Wikipedia. Impronta SHA-256 dell'estratto: 44c8043f5a6c1fb1c29b44be9a4189aa54c441689e6f68862e89ce331cd8641c