H2OTreeBasedSupervisedMOJOModel
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object H2OTreeBasedSupervisedMOJOModel
| package models
Returns a map of all combined cross-validation holdout metrics of the Double type.
Returns a map of all combined cross-validation holdout metrics of the Double type.
Returns an object holding all metrics of the Double type and also more complex performance information combined from cross-validation holdouts.
Returns an object holding all metrics of the Double type and also more complex performance information combined from cross-validation holdouts.
Returns a data frame with information about performance of individual folds according to various model metrics.
Returns a data frame with information about performance of individual folds according to various model metrics.
Returns a map of all metrics of the Double type.
Returns a map of all metrics of the Double type. If the nfolds parameter was set, the metrics were combined from cross-validation holdouts. If cross validations wasn't enabled, the metrics were calculated from a validation dataset. If the validation dataset wasn't available, the metrics were calculated from the training dataset.
Returns an object holding all metrics of the Double type and also more complex performance information.
Returns an object holding all metrics of the Double type and also more complex performance information. If the nfolds parameter was set, the object was combined from cross-validation holdouts. If cross validations wasn't enabled, the object was calculated from a validation dataset. If the validation dataset wasn't available, the object was calculated from the training dataset.
Returns a map of all metrics of the Double type calculated on the training dataset.
Returns a map of all metrics of the Double type calculated on the training dataset.
Returns an object holding all metrics of the Double type and also more complex performance information calculated on the training dataset.
Returns an object holding all metrics of the Double type and also more complex performance information calculated on the training dataset.
Returns a map of all metrics of the Double type calculated on the validation dataset.
Returns a map of all metrics of the Double type calculated on the validation dataset.
Returns an object holding all metrics of the Double type and also more complex performance information calculated on the validation dataset.
Returns an object holding all metrics of the Double type and also more complex performance information calculated on the validation dataset.
The method returns an internal H2O-3 mojo model, which can be subsequently used with EasyPredictModelWrapper to perform predictions on individual rows.
The method returns an internal H2O-3 mojo model, which can be subsequently used with EasyPredictModelWrapper to perform predictions on individual rows.