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Training XGBoost Models with GPU-Accelerated Polars DataFrames
Training XGBoost Models with GPU-Accelerated Polars DataFrames
<img alt="" class="webfeedsFeaturedVisual wp-post-image" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2025/11/xgboost-model-training-768x432-png.webp" style="display: block;...
One of the many strengths of the PyData ecosystem is interoperability, which enables seamlessly moving data between libraries that specialize in exploratory...One of the many strengths of the PyData ecosystem is interoperability, which enables seamlessly moving data between libraries that specialize in exploratory analysis, training, and inference. The latest release of XGBoost introduces exciting new capabilities, including a category re-coder and integration with Polars DataFrames. This provides a streamlined approach to data handling.
Source: NVIDIA Technical Blog
Word count: 1149 words
Published on 2025-11-11 03:30