siiuTdZddlmZmZddlmZmZeGddZdS)z/Xgboost training summary integration submodule.) dataclassfield)DictListceZdZUdZeeZeee e fe d<eeZ eee e fe d<e deeeee e ffddfdZdS) XGBoostTrainingSummaryz A class that holds the training and validation objective history of an XGBoost model during its training process. )default_factorytrain_objective_historyvalidation_objective_historymetricsreturncz|di}|di}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/html/bet.cuttalo.com/ml/venv/lib/python3.11/site-packages/xgboost/spark/summary.py from_metricsz#XGBoostTrainingSummary.from_metricssD,#*++j""="='.{{<'D'D$% #%A   N)__name__ __module__ __qualname____doc__rdictr rstrrfloat__annotations__r staticmethodrrrrrs 7r!sy55(((((((( # # # # # # #  # # # r