PartitioningRpart: PartitioningRpart

In fmeffects: Model-Agnostic Interpretations with Forward Marginal Effects

PartitioningRpart

Description

This task specializes Partitioning for the rpart algorithm for recursive partitioning.

It is recommended to use came() for construction of Partitioning objects.

Super class

fmeffects::Partitioning -> PartitioningRpart

Methods

Public methods

• PartitioningRpart$new()

• PartitioningRpart$clone()

Inherited methods

• fmeffects::Partitioning$compute()
• fmeffects::Partitioning$plot()

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Method new()

Create a new PartitioningRpart object.

Usage

PartitioningRpart$new(object, method, value, tree.control = NULL)

Arguments

object

An FME object with results computed.

method

The method for finding feature subspaces.

value

The value of method.

tree.control

Control parameters for the RP algorithm.

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Method clone()

The objects of this class are cloneable with this method.

Usage

PartitioningRpart$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

fmeffects documentation built on April 4, 2025, 4:47 a.m.