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mlr-org
Machine Learning in R
Thank you for your great R package "mlr". I am interested in calculate survival probability for my RNA-seq data. I want to use surv. function in "mlr" package for this....
Hi all, I know mlr is no longer actively maintained, but in case it's an easy fix, the `positive` argument to the `makeClassifTask()` function doesn't seem to do anything. Here...
## Description createDummyFeatures gives wrong and unconsistant names used with two factor levels. ## Reproducible example ``` d
Hi, I really enjoy your package. I had a problem. When I run this: `lrn = makeLearner("regr.gausspr", importance = c("permutation")) ` it produced this error:Error in setHyperPars2.Learner(learner, insert(par.vals, args)) :...
```r task = sonar.task lrn = makeLearner("classif.rpart", predict.type = "prob") rin = makeResampleDesc("Holdout") mm = setAggregation(auc, test.join) r = resample(lrn, task, rin, measures = mm) ``` This leads to Error...
I don't know if this is a bug in some sort or if I'm overlooking something, but this baffled @ja-thomas and me a bit this morning. Consider a simple case...
Looks like an issue on their side at a first glance. [Build](https://app.circleci.com/jobs/github/mlr-org/mlr/1968) `caret::plsda()` calls `klaR:::predict.NaiveBayes()` internally. ``` ── 1. Error: classif_plsdaCaret_binary (@test_classif_plsdaCaret.R#25) ──────── Not all variable names used in object...
Hi, A similar possible bug to #1787 (I was asked to start a new issue) I've just found exists when spaces (and possibly other non-regular characters) occur in the class...
See this SO question: https://stackoverflow.com/questions/56553479/r-predicting-with-new-factor-levels-in-mlr-with-regr-svm-task/56587590#56587590 I did a very dirty fix in the `fix-factors` branch that works for this example but probably not if more factor levels in `newdata` have...