Unity-Technologies/go-xgboost
XGBoost bindings for golang
This is a tool for software developers who need to integrate high-performance machine learning predictions into their Go applications. It takes a pre-trained XGBoost model and new data as input, and outputs predictions based on that model. Go developers can use this to embed fast, efficient model inference directly into their services or applications.
No commits in the last 6 months.
Use this if you are a Go developer building an application that needs to make predictions using an existing XGBoost model.
Not ideal if you need to train new XGBoost models within a Go application, as this library focuses primarily on prediction.
Stars
77
Forks
17
Language
Go
License
MIT
Category
Last pushed
Nov 09, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Unity-Technologies/go-xgboost"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
SPFlow/SPFlow
Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
gomlx/gomlx
GoMLX: An Accelerated Machine Learning Framework For Go
montanaflynn/stats
A well tested and comprehensive Golang statistics library package with no dependencies.
mattn/go-tflite
Go binding for TensorFlow Lite
james-bowman/sparse
Sparse matrix formats for linear algebra supporting scientific and machine learning applications