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Since the update of the quantification scaffolding Pytorch last month,
another major upgrade of the quantification algorithm package!
XGBoost has been upgraded to 3.2.0!
Compatibility with sklearn 1.8, ARM CUDA wheel, nccl optimization, tick-level large table training/backtesting is noticeably faster and more stable.
Categorical and extmem have also been significantly upgraded in 3.1.
"The million-dollar development cost of quantification strategies" has become a joke.
pip install --upgrade xgboost #BTC