A subclass of
WrappedModel. It is created
- if you set the respective option in
when a model internally crashed during training.
The model always predicts NAs.
The if mlr option
FailureModel contains the debug trace of the error.
It can be accessed with
learner.model is simply a string:
The error message that was generated when the model crashed.
The following code shows how to access the message.
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configureMlr(on.learner.error = "warn") data = iris data$newfeat = 1 # will make LDA crash task = makeClassifTask(data = data, target = "Species") m = train("classif.lda", task) # LDA crashed, but mlr catches this print(m) print(m$learner.model) # the error message p = predict(m, task) # this will predict NAs print(p) print(performance(p)) configureMlr(on.learner.error = "stop")
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