Is there any way to calculate Cross Validation Logloss for h2o ensemble model? (just like Cross Validation AUC)

r
machine_learning
h2o

#1

Hello everyone,

I ran an h2o.ensemble model like this.

fit <- h2o.ensemble(x = x, y = y, 
                    training_frame = train1,
                    family = "binomial", 
                    learner = learner, 
                    metalearner = metalearner,
                    cvControl = list(V = 5))

Now, i can calculate cvAUC… but i want to calculate cv logloss…
Does anyone know how to calculate cv logloss here??

TIA