RankingTrainValidationSplitModel

class RankingTrainValidationSplitModel.RankingTrainValidationSplitModel(bestModel=None, validationMetrics=[])

Bases: mmlspark._RankingTrainValidationSplitModel._RankingTrainValidationSplitModel, pyspark.ml.tuning.ValidatorParams

bestModel = None

best model from cross validation

copy(extra=None)

Creates a copy of this instance with a randomly generated uid and some extra params. This copies the underlying bestModel, creates a deep copy of the embedded paramMap, and copies the embedded and extra parameters over. And, this creates a shallow copy of the validationMetrics.

Parameters:extra – Extra parameters to copy to the new instance Returns:Copy of this instance

recommendForAllItems(numItems)

recommendForAllUsers(numItems)

validationMetrics = None

evaluated validation metrics