mlr (version 2.10)

FailureModel: Failure model.

Description

A subclass of WrappedModel. It is created - if you set the respective option in configureMlr - when a model internally crashed during training. The model always predicts NAs. Its encapsulated 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.

Examples

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")