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 ...
Stochastic gradient descent and Adam are optimization algorithms that update model parameters from estimated gradients, but ...
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
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