FailureModel | R Documentation |
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.
The if mlr option on.error.dump
is TRUE
, the
FailureModel
contains the debug trace of the error.
It can be accessed with getFailureModelDump
and
inspected with debugger
.
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.
Other debug:
ResampleResult
,
getPredictionDump()
,
getRRDump()
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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