^juFdZddlmZmZddlmZmZeGddZy)z/Xgboost training summary integration submodule.) dataclassfield)DictListceZdZUdZeeZeee e fe d<eeZ eee e fe d<e deeeee e ffddfdZy) XGBoostTrainingSummaryz A class that holds the training and validation objective history of an XGBoost model during its training process. )default_factorytrain_objective_historyvalidation_objective_historymetricsreturncb|jdi}|jdi}t||S)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 `/var/www/ramen.bs-engineer-server.com/venv/lib/python3.12/site-packages/xgboost/spark/summary.py from_metricsz#XGBoostTrainingSummary.from_metricss9,#*++j""='.{{<'D$% #%A  N)__name__ __module__ __qualname____doc__rdictr rstrrfloat__annotations__r staticmethodrrrrrs 7r!s'5( # #  # r