GitHub - mirecl/catboost-cgo: CatBoost a fast, scalable, high performance Gradient Boosting on Decision Trees library. Golang using Cgo for blazing fast inference CatBoost Model 🚀 (original) (raw)

PkgGoDev GitHub Release CI codecov Go Report Card Mentioned in Awesome Go

CatBoost-Cgo

Evaluation library is the fastest way for inference a model CatBoost. The library provides a C API.
The C API interface can be accessed from any programming language (example Golang + Cgo).

Prebuilt shared library (*.so | *.dylib) artifacts are available of the releases page on GitHub CatBoost project.
The shared library:

  1. Should be in /usr/local/lib
  2. Or set path in environment CATBOOST_LIBRARY_PATH
  3. Or set path manual in source code SetSharedLibraryPath (see example below)

For more information, see https://catboost.ai/en/docs/concepts/c-plus-plus-api_dynamic-c-pluplus-wrapper.

Compatibility

Previous versions v1.2.2 v1.2.3 v1.2.4 v1.2.5 v1.2.6 v1.2.7 v1.2.8
🚫 (not testing) ✅ ✅ ✅ ✅ ✅ ✅ ✅

Features

Supported functionality (https://catboost.ai/en/docs/concepts/python-quickstart):

Supported prediction types (https://github.com/catboost/catboost/blob/master/catboost/libs/model/enums.h):

Limitation

Supported operating system and architectures:

Operating system CPU architectures GPU support using CUDA
MacOS ✅ (x86_64) 🚫
Linux ✅ (x86_64) ✅ (x86_64)
Windows 10 and 11 🚫 🚫

If you use GPU - only device 0 is supported for now. More details: catboost/catboost#2774.

Supported Type:

Installation

  1. Install catboost-cgo:

go get github.com/mirecl/catboost-cgo

  1. Download CatBoost shared library from release page: https://github.com/catboost/catboost/releases
  2. Save CatBoost shared library in /usr/local/lib or manual set path:

import ( cb "github.com/mirecl/catboost-cgo/catboost" )

func main(){ cb.SetSharedLibraryPath(...) }

  1. See examples of use

Usage

Thanks