mlr_graphs_probregrcompositor | R Documentation |
Wrapper around PipeOpProbregrCompositor to simplify Graph creation.
pipeline_probregrcompositor( learner, learner_se = NULL, dist = "Normal", graph_learner = FALSE )
learner |
|
learner_se |
|
dist |
|
graph_learner |
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mlr3pipelines::Graph or mlr3pipelines::GraphLearner
Other pipelines:
mlr_graphs_crankcompositor
,
mlr_graphs_distrcompositor
,
mlr_graphs_survaverager
,
mlr_graphs_survbagging
,
mlr_graphs_survtoregr
## Not run: if (requireNamespace("mlr3pipelines", quietly = TRUE) && requireNamespace("rpart", quietly = TRUE)) { library("mlr3") library("mlr3pipelines") task = tsk("boston_housing") # method 1 - one learner for response and se pipe = ppl( "probregrcompositor", learner = lrn("regr.featureless", predict_type = "se"), dist = "Normal" ) pipe$train(task) pipe$predict(task) # method 2 - one learner for response and one for se pipe = ppl( "probregrcompositor", learner = lrn("regr.rpart"), learner_se = lrn("regr.featureless", predict_type = "se"), dist = "Logistic" ) pipe$train(task) pipe$predict(task) } ## End(Not run)
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