C
catboost
catboost/catboost
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.
★9.1kstars
C++
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?Data & Infrastructure project leveraging big-data and catboost, built with C++, open-source
Who made it?Maintained by catboost team, 9.1K⭐ on GitHub, #224 out of 3133 in Data & Infrastructure
Why does it exist?As the Data & Infrastructure landscape evolved, the catboost team identified the need for better big-data solutions. catboost was created to simplify catboost workflows.
What can it do?Key use cases: categorical-features, coreml, cuda
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/catboost/catboost | 官网 https://catboost.ai
🔗 github.com/catboost/catboost | 官网 https://catboost.ai
Topics
big-datacatboostcategorical-featurescoremlcudadata-miningdata-sciencedecision-treesgbdtgbmgpugpu-computinggradient-boostingkagglemachine-learningpythonrtutorial