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LLM-powered multiagent persona simulation for imagination enhancement and business insights.
Explainable Boosted Scoring with Python: turning XGBoost and CatBoost classifiers into explainable scorecards
XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
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Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …