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proxy.golang.org : github.com/Elvenson/xgboost-go

Package xgboost is a pure Golang implementation of loading DMLC XGBoost json model generated from dump_model python API. This package supports binary, multiclass and regression inference. Note that this package is just for inference purpose only, for training part please reference to https://github.com/dmlc/xgboost. In order to have a json encoded model file, we need to train the model via Python first: iris_xgboost.py: Here is how to load the model exported from the above script: For more information, please take a look at xgbensemble_test.go

Registry - Source - Documentation - JSON
purl: pkg:golang/github.com/%21elvenson/xgboost-go
License: MIT
Latest release: almost 2 years ago
First release: almost 5 years ago
Namespace: github.com/Elvenson
Dependent packages: 1
Dependent repositories: 1
Stars: 8 on GitHub
Forks: 3 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 14 days ago

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