base on 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. <img src=http://storage.mds.yandex.net/get-devtools-opensource/250854/catboost-logo.png width=300/> [Website](https://catboost.ai) | [Documentation](https://catboost.ai/docs/) | [Tutorials](https://catboost.ai/docs/concepts/tutorials.html) | [Installation](https://catboost.ai/docs/concepts/installation.html) | [Release Notes](https://github.com/catboost/catboost/releases) [](https://github.com/catboost/catboost/blob/master/LICENSE) [](https://badge.fury.io/py/catboost) [](https://anaconda.org/conda-forge/catboost) [](https://github.com/catboost/catboost/issues) [](https://t.me/catboost_en) [](https://twitter.com/CatBoostML) CatBoost is a machine learning method based on [gradient boosting](https://en.wikipedia.org/wiki/Gradient_boosting) over decision trees. Main advantages of CatBoost: -------------- - Superior quality when [compared](https://github.com/catboost/benchmarks/blob/master/README.md) with other GBDT libraries on many datasets. - Best in class [prediction](https://catboost.ai/docs/concepts/c-plus-plus-api.html) speed. - Support for both [numerical and categorical](https://catboost.ai/docs/concepts/algorithm-main-stages.html) features. - Fast GPU and multi-GPU support for training out of the box. - Visualization tools [included](https://catboost.ai/docs/features/visualization.html). - Fast and reproducible distributed training with [Apache Spark](https://catboost.ai/en/docs/concepts/spark-overview) and [CLI](https://catboost.ai/en/docs/concepts/cli-distributed-learning). Get Started and Documentation -------------- All CatBoost documentation is available [here](https://catboost.ai/docs/). Install CatBoost by following the guide for the * [Python package](https://catboost.ai/en/docs/concepts/python-installation) * [R-package](https://catboost.ai/en/docs/concepts/r-installation) * [Сommand line](https://catboost.ai/en/docs/concepts/cli-installation) * [Package for Apache Spark](https://catboost.ai/en/docs/concepts/spark-installation) Next you may want to investigate: * [Tutorials](https://github.com/catboost/tutorials/#readme) * [Training modes and metrics](https://catboost.ai/docs/concepts/loss-functions.html) * [Cross-validation](https://catboost.ai/docs/features/cross-validation.html#cross-validation) * [Parameters tuning](https://catboost.ai/docs/concepts/parameter-tuning.html) * [Feature importance calculation](https://catboost.ai/docs/features/feature-importances-calculation.html) * [Regular](https://catboost.ai/docs/features/prediction.html#prediction) and [staged](https://catboost.ai/docs/features/staged-prediction.html#staged-prediction) predictions * CatBoost for Apache Spark videos: [Introduction](https://youtu.be/47-mAVms-b8) and [Architecture](https://youtu.be/nrGt5VKZpzc) If you cannot open documentation in your browser try adding yastatic.net and yastat.net to the list of allowed domains in your privacy badger. CatBoost models in production -------------- If you want to evaluate CatBoost model in your application read [model api documentation](https://github.com/catboost/catboost/tree/master/catboost/CatboostModelAPI.md). Questions and bug reports -------------- * For reporting bugs please use the [catboost/bugreport](https://github.com/catboost/catboost/issues) page. * Ask a question on [CatBoost GitHub Discussions Q&A forum](https://github.com/catboost/catboost/discussions/categories/q-a). * Ask a question on [Stack Overflow](https://stackoverflow.com/questions/tagged/catboost) with the catboost tag, we monitor this for new questions. * Seek prompt advice at [Telegram group](https://t.me/catboost_en) or Russian-speaking [Telegram chat](https://t.me/catboost_ru) Help to Make CatBoost Better ---------------------------- * Check out [open problems](https://github.com/catboost/catboost/blob/master/open_problems/open_problems.md) and [help wanted issues](https://github.com/catboost/catboost/labels/help%20wanted) to see what can be improved, or open an issue if you want something. * Add your stories and experience to [Awesome CatBoost](AWESOME.md). * [Instructions for contributors](https://github.com/catboost/catboost/blob/master/CONTRIBUTING.md). News -------------- Latest news are published on [twitter](https://twitter.com/catboostml). Reference Paper ------- Anna Veronika Dorogush, Andrey Gulin, Gleb Gusev, Nikita Kazeev, Liudmila Ostroumova Prokhorenkova, Aleksandr Vorobev ["Fighting biases with dynamic boosting"](https://arxiv.org/abs/1706.09516). arXiv:1706.09516, 2017. Anna Veronika Dorogush, Vasily Ershov, Andrey Gulin ["CatBoost: gradient boosting with categorical features support"](http://learningsys.org/nips17/assets/papers/paper_11.pdf). Workshop on ML Systems at NIPS 2017. License ------- © YANDEX LLC, 2017-2025. Licensed under the Apache License, Version 2.0. See LICENSE file for more details. ", Assign "at most 3 tags" to the expected json: {"id":"12984","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"