Amazon SageMaker built-in LightGBM now offers distributed training using Dask
AWS Machine Learning
JANUARY 30, 2023
Distributed training is a technique that allows for the parallel processing of large amounts of data across multiple machines or devices. By splitting the data and training multiple models in parallel, distributed training can significantly reduce training time and improve the performance of models on big data.
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