mlr_graphs

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Dictionary of (sub-)graphs

A simple Dictionary storing objects of class Graph. The dictionary contains a collection of often-used graph structures, and it's aim is solely to make often-used functions more accessible. Each Graph has an associated help page, which can be accessed via ?mlr_graphs_<key>, i.e. ?mlr_graphs_bagging.

Keywords
datasets
Format

R6Class object inheriting from mlr3misc::Dictionary.

Methods

Methods inherited from Dictionary, as well as:

  • add(key, value) (character(1), function) Adds constructor value to the dictionary with key key, potentially overwriting a previously stored item.

S3 methods

See Also

Other mlr3pipelines backend related: Graph, PipeOpTargetTrafo, PipeOpTaskPreprocSimple, PipeOpTaskPreproc, PipeOp, mlr_pipeops_updatetarget, mlr_pipeops

Other Dictionaries: mlr_pipeops

Aliases
  • mlr_graphs
Examples
# NOT RUN {
library(mlr3)
lrn = lrn("regr.rpart")
task = mlr_tasks$get("boston_housing")

# Robustify the learner for the task.
gr = pipeline_robustify(task, lrn) %>>% po("learner", lrn)
# or equivalently
gr = mlr_graphs$get("robustify", task = task, learner = lrn) %>>% po(lrn)
# or equivalently
gr = ppl("robustify", task, lrn) %>>% po("learner", lrn)

# all Graphs currently in the dictionary:
as.data.table(mlr_graphs)
# }
Documentation reproduced from package mlr3pipelines, version 0.3.0, License: LGPL-3

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