mlr3pipelines
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Dataflow Programming for Machine Learning in R
Hi, I want to change the target of a survival task which has two target variables, namely `time` and `status`. Doing the following fails (haven't put a `trafo` function but...
Bumps [JamesIves/github-pages-deploy-action](https://github.com/jamesives/github-pages-deploy-action) from 4.5.0 to 4.6.0. Release notes Sourced from JamesIves/github-pages-deploy-action's releases. v4.6.0 What's Changed Check for fatal on every line of stderr of the git command by @ben-z in...
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there are a few FIXMEs in the class: * https://github.com/mlr-org/mlr3pipelines/blob/a4933e1b925d6d6c9c4a24794a441367040989e8/R/PipeOpTaskPreproc.R#L225 * https://github.com/mlr-org/mlr3pipelines/blob/a4933e1b925d6d6c9c4a24794a441367040989e8/R/PipeOpTaskPreproc.R#L258 * https://github.com/mlr-org/mlr3pipelines/blob/a4933e1b925d6d6c9c4a24794a441367040989e8/R/PipeOpTaskPreproc.R#L211 * https://github.com/mlr-org/mlr3pipelines/blob/a4933e1b925d6d6c9c4a24794a441367040989e8/R/PipeOpTaskPreproc.R#L225
Using min/max directly compared to using range seems to be more performant, here a small benchmark and for reference the source code for [range](https://github.com/r-devel/r-svn/blob/main/src/library/base/R/range.R#L22) and [diff](https://github.com/r-devel/r-svn/blob/main/src/library/base/R/diff.R#L21) explaining why its slower:...
Hello, I'm trying to modify the function 'PipeOpLearnerCV' to integrate a spatial resampling of type 'sptcv_cstf'. However, I'm getting an error message when I execute: `PipeOpLearnerCV_mod$new(learner = mlr3::lrn("classif.glmnet", predict_type =...
My code is showed below: prc_rf_lrn=lrn("classif.ranger",predict_type="prob",importance="impurity") graph_rf=prc_rf_lrn %>>% po("threshold") graph_rf$plot() learners_rf=GraphLearner$new(graph_rf) learners_rf 's predict_type is [response], prob * Model: list * Parameters: classif.ranger.importance=impurity, classif.ranger.max.depth=4, classif.ranger.min.node.size=30, classif.ranger.mtry=4, classif.ranger.num.threads=1, classif.ranger.num.trees=400, threshold.thresholds=0.4444 *...
