PredictorMLR3 {fmeffects} | R Documentation |
PredictorMLR3
Description
This task specializes Predictor for mlr3
models.
The model
is assumed to be a LearnerRegr
or LearnerClassif
.
It is recommended to use makePredictor()
for construction of Predictor objects.
Super class
fmeffects::Predictor
-> PredictorMLR3
Methods
Public methods
Method new()
Create a new PredictorMLR3 object.
Usage
PredictorMLR3$new(model, data)
Arguments
model
LearnerRegr
orLearnerClassif
object.data
The data used for computing FMEs, must be data.frame or data.table.
Method predict()
Predicts on an observation "newdata"
.
Usage
PredictorMLR3$predict(newdata)
Arguments
newdata
The feature vector for which the target should be predicted.
Method clone()
The objects of this class are cloneable with this method.
Usage
PredictorMLR3$clone(deep = FALSE)
Arguments
deep
Whether to make a deep clone.
[Package fmeffects version 0.1.3 Index]