Predictor: R6 Class representing a predictor

In fmeffects: Model-Agnostic Interpretations with Forward Marginal Effects

R6 Class representing a predictor

Description

This is the abstract superclass for predictor objects like PredictorMLR3 and PredictorCaret. A Predictor contains information about an ML model's prediction function and training data.

Public fields

model

The (trained) model, with the ability to predict on new data.

target

A character vector with the name of the target variable.

X

A data.table with feature and target variables.

feature.names

A character vector with the names of the features in X.

feature.types

A character vector with the types (numerical or categorical) of the features in X.

Methods

Public methods

• Predictor$new()

• Predictor$clone()

---

Method new()

Create a Predictor object

Usage

Predictor$new(...)

Arguments

...

Predictor cannot be initialized, only its subclasses

---

Method clone()

The objects of this class are cloneable with this method.

Usage

Predictor$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

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