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What are the best strategy to train and save a gradient boosting algorithm, e.g. LightGBM or XGboost or Catboost in Python but load the model in GoLang and make prediction with Golang ?

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There's actually a few libraries that handle the inference part well. https://github.com/dmitryikh/leaves is probably the most common one and seems to fit your need.

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