Returns the error dumps generated during resampling, which can be used with debugger() to debug errors. These dumps are saved if configureMlr configuration on.error.dump, or the corresponding learner config, is TRUE.

The returned object is a list with as many entries as the resampling being used has folds. Each of these entries can have a subset of the following slots, depending on which step in the resampling iteration failed: “train” (error during training step), “predict.train” (prediction on training subset), “predict.test” (prediction on test subset).

getRRDump(res)

## Arguments

res (ResampleResult) The result of resample.

## Value

list.

Other debug: FailureModel, ResampleResult, getPredictionDump