% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/FailureModel.R
\name{FailureModel}
\alias{FailureModel}
\title{Failure model.}
\description{
A subclass of \code{\link{WrappedModel}}. It is created
- if you set the respective option in \code{\link{configureMlr}} -
when a model internally crashed during training.
The model always predicts NAs.

Its encapsulated \code{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")
}
