Target: Target Class
In fuseMLR: Fusing Machine Learning in R
Target R Documentation
Target Class
Description
This class implements the target object. A Target object can only
exist as a component of a Training object.
Super class
fuseMLR::Data -> Target
Methods
Public methods
-
-
-
-
-
-
-
-
-
Inherited methods
Method new()
Initialize a new object from the current class.
Usage
Target$new(id, data_frame, training)
Arguments
idcharacter
The Object ID.
data_framedata.frame
data.frame containing data.
trainingTraining
Training where to store the current object.
Method print()
Printer
Usage
Target$print(...)
Arguments
...any
Method summary()
Summary
Usage
Target$summary(...)
Arguments
...any
Method getData()
Getter of the current data.frame wihtout individual
ID nor target variables.
Usage
Target$getData()
Returns
The data.frame without individual ID nor target variables is returned.
Method getTargetValues()
Getter of target values stored on the current training layer.
Usage
Target$getTargetValues()
Returns
The observed target values stored on the current training layer are returned.
Method getTargetName()
Getter of the target variable name.
Usage
Target$getTargetName()
Method getTraining()
Getter of the current training object.
Usage
Target$getTraining()
Returns
The training layer (from class Training) on which the current train data are stored
is returned.
Method setData()
Getter of the current data.frame wihtout individual
ID nor target variables.
Usage
Target$setData(data_frame)
Arguments
data_framedata.frame
data.frame to be set.
Title
Method clone()
The objects of this class are cloneable with this method.
Usage
Target$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
See Also
TrainLayer, Lrner, Model, TestData
fuseMLR documentation built on April 3, 2025, 8:49 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| Target | R Documentation |
Target Class
Description
This class implements the target object. A Target object can only exist as a component of a Training object.
Super class
fuseMLR::Data -> Target
Methods
Public methods
Inherited methods
Method new()
Initialize a new object from the current class.
Usage
Target$new(id, data_frame, training)
Arguments
idcharacter
The Object ID.data_framedata.frame
data.framecontaining data.trainingTraining
Training where to store the current object.
Method print()
Printer
Usage
Target$print(...)
Arguments
...any
Method summary()
Summary
Usage
Target$summary(...)
Arguments
...any
Method getData()
Getter of the current data.frame wihtout individual
ID nor target variables.
Usage
Target$getData()
Returns
The data.frame without individual ID nor target variables is returned.
Method getTargetValues()
Getter of target values stored on the current training layer.
Usage
Target$getTargetValues()
Returns
The observed target values stored on the current training layer are returned.
Method getTargetName()
Getter of the target variable name.
Usage
Target$getTargetName()
Method getTraining()
Getter of the current training object.
Usage
Target$getTraining()
Returns
The training layer (from class Training) on which the current train data are stored is returned.
Method setData()
Getter of the current data.frame wihtout individual
ID nor target variables.
Usage
Target$setData(data_frame)
Arguments
data_framedata.frame
data.frame to be set.Title
Method clone()
The objects of this class are cloneable with this method.
Usage
Target$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
See Also
TrainLayer, Lrner, Model, TestData
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.