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DSPy: The framework for programming—not prompting—foundation models
Time series forecasting with machine learning models
hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.
