PredictorLM: PredictorLM

In fmeffects: Model-Agnostic Interpretations with Forward Marginal Effects

PredictorLM

Description

This task specializes Predictor for lm and lm-type models. The model is assumed to be a lm.

It is recommended to use makePredictor() for construction of Predictor objects.

Super class

fmeffects::Predictor -> PredictorLM

Methods

Public methods

• PredictorLM$new()

• PredictorLM$predict()

• PredictorLM$clone()

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Method new()

Create a new PredictorCaret object.

Usage

PredictorLM$new(model, data)

Arguments

model

⁠train, train.formula⁠ object.

data

The data used for computing FMEs, must be data.frame or data.table.

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Method predict()

Predicts on an observation "newdata".

Usage

PredictorLM$predict(newdata)

Arguments

newdata

The feature vector for which the target should be predicted.

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Method clone()

The objects of this class are cloneable with this method.

Usage

PredictorLM$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

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