PredictorParsnip: PredictorParsnip

In fmeffects: Model-Agnostic Interpretations with Forward Marginal Effects

PredictorParsnip

Description

This task specializes Predictor for parsnip models. The model is assumed to be a model_fit object.

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

Super class

fmeffects::Predictor -> PredictorParsnip

Methods

Public methods

• PredictorParsnip$new()

• PredictorParsnip$predict()

• PredictorParsnip$clone()

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Method new()

Create a new PredictorParsnip object.

Usage

PredictorParsnip$new(model, data)

Arguments

model

model_fit 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

PredictorParsnip$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

PredictorParsnip$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

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