mlr_graphs: Dictionary of (sub-)graphs

In mlr3pipelines: Preprocessing Operators and Pipelines for 'mlr3'

Dictionary of (sub-)graphs

Description

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.

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

• as.data.table(dict)
Dictionary -> data.table::data.table
  Returns a data.table with column key (character).

See Also

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

Other Dictionaries: mlr_pipeops

Examples

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)

mlr3pipelines documentation built on May 31, 2023, 9:26 p.m.