PartitioningCtree: PartitioningCtree

In fmeffects: Model-Agnostic Interpretations with Forward Marginal Effects

PartitioningCtree

Description

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

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

Super class

fmeffects::Partitioning -> PartitioningCtree

Methods

Public methods

• PartitioningCtree$new()

• PartitioningCtree$clone()

Inherited methods

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

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Method new()

Create a new PartitioningCtree object.

Usage

PartitioningCtree$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

PartitioningCtree$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

fmeffects documentation built on June 22, 2024, 9:32 a.m.