model.interface.RandomForest-class-open-paren-party-close-paren: (Internal) model.interface class for cforest

In Marchen/model.adapter: Abstraction Layer for Statistical/Machine Learning Models

(Internal) model.interface class for cforest

Description

This reference class contains methods for cforest in party package. Note that because an object of RandomForest does not keep original call, get.call() function always returns NULL.

Super class

model.adapter::model.interface -> model.interface.RandomForest

Methods

Public methods

• model.interface.RandomForest.class$get.call()

• model.interface.RandomForest.class$get.formula()

• model.interface.RandomForest.class$get.data()

• model.interface.RandomForest.class$get.model.type()

• model.interface.RandomForest.class$predict()

• model.interface.RandomForest.class$adjust.offset()

• model.interface.RandomForest.class$clone()

Inherited methods

• model.adapter::model.interface$expand.formula()
• model.adapter::model.interface$get.family()
• model.adapter::model.interface$get.link()
• model.adapter::model.interface$get.linkinv()
• model.adapter::model.interface$get.offset.names()
• model.adapter::model.interface$initialize()

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Method get.call()

Usage

model.interface.RandomForest.class$get.call(x)

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Method get.formula()

Usage

model.interface.RandomForest.class$get.formula(x, envir, package = "")

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Method get.data()

Usage

model.interface.RandomForest.class$get.data(x, envir, package = "", ...)

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Method get.model.type()

Usage

model.interface.RandomForest.class$get.model.type(x, envir, package = "", ...)

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Method predict()

Usage

model.interface.RandomForest.class$predict(object, newdata = NULL, type, ...)

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Method adjust.offset()

Usage

model.interface.RandomForest.class$adjust.offset(x, envir, package, pred, ...)

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Method clone()

The objects of this class are cloneable with this method.

Usage

model.interface.RandomForest.class$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Marchen/model.adapter documentation built on July 3, 2023, 11:07 a.m.