u:iuFSrSSKJrJr SSKJrJr \"SS55rg)z/Xgboost training summary integration submodule.) dataclassfield)DictListc\rSrSr%Sr\"\S9r\\ \ \ 4\ S'\"\S9r \\ \ \ 4\ S'\S\\ \\ \ \ 44SS4Sj5rS rg ) XGBoostTrainingSummaryzs A class that holds the training and validation objective history of an XGBoost model during its training process. )default_factorytrain_objective_historyvalidation_objective_historymetricsreturnc`URS05nURS05n[X5$)a Create an XGBoostTrainingSummary instance from a nested dictionary of metrics. Parameters ---------- metrics : dict of str to dict of str to list of float A dictionary containing training and validation metrics. Example format: { "training": {"logloss": [0.1, 0.08]}, "validation": {"logloss": [0.12, 0.1]} } Returns ------- A new instance of XGBoostTrainingSummary. training validation)getr)r r r s X/srv/projetos/modelo_ml_acdoc/venv/lib/python3.13/site-packages/xgboost/spark/summary.py from_metrics#XGBoostTrainingSummary.from_metricss6,#*++j""='.{{<'D$% #  N)__name__ __module__ __qualname____firstlineno____doc__rdictr rstrrfloat__annotations__r staticmethodr__static_attributes__rrrrrs 7r%s'5( # #  # r