o ڭju@s:dZddlmZmZddlmZmZeGdddZdS)z/Xgboost training summary integration submodule.) dataclassfield)DictListc@sxeZdZUdZeedZeee e fe d<eedZ eee e fe d<e deeeee e ffddfddZd S) XGBoostTrainingSummaryz A class that holds the training and validation objective history of an XGBoost model during its training process. )default_factorytrain_objective_historyvalidation_objective_historymetricsreturncCs"|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 rr rR/var/www/html/CropPilot/venv/lib/python3.10/site-packages/xgboost/spark/summary.py from_metricss  z#XGBoostTrainingSummary.from_metricsN)__name__ __module__ __qualname____doc__rdictrrstrrfloat__annotations__r staticmethodrrrrrrs rN)r dataclassesrrtypingrrrrrrrs