PredictorMLR3: PredictorMLR3
In fmeffects: Model-Agnostic Interpretations with Forward Marginal Effects
PredictorMLR3 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$new(model, data)
Arguments
modelLearnerRegr or LearnerClassif object.
dataThe data used for computing FMEs, must be data.frame or data.table.
Method predict()
Predicts on an observation "newdata".
Usage
PredictorMLR3$predict(newdata)
Arguments
newdataThe feature vector for which the target should be predicted.
Method clone()
The objects of this class are cloneable with this method.
Usage
PredictorMLR3$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
fmeffects documentation built on April 4, 2025, 4:47 a.m.
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| PredictorMLR3 | R Documentation |
PredictorMLR3
Description
This task specializes Predictor for mlr3 models.
The model is assumed to be a LearnerRegr or LearnerClassif.
It is recommended to use makePredictor() for construction of Predictor objects.
Super class
fmeffects::Predictor -> PredictorMLR3
Methods
Public methods
Method new()
Create a new PredictorMLR3 object.
Usage
PredictorMLR3$new(model, data)
Arguments
modelLearnerRegrorLearnerClassifobject.dataThe data used for computing FMEs, must be data.frame or data.table.
Method predict()
Predicts on an observation "newdata".
Usage
PredictorMLR3$predict(newdata)
Arguments
newdataThe feature vector for which the target should be predicted.
Method clone()
The objects of this class are cloneable with this method.
Usage
PredictorMLR3$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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