MeasureCSD: MeasureCSD
In Yael-Travis-Lumer/mlr3learners.KMforCSD: An MLR3 Regression Learner that Enables Cross-Validation for the Proposed Kernel Machine.
Description
Super classes
Methods
Description
A mlr3::measure which is a modification of the quadratic loss for CSD
Calls KMforCSD::KMforCSD().
Super classes
mlr3::Measure -> mlr3::MeasureRegr -> MeasureCSD
Methods
Public methods
Inherited methods
Method new()
Usage
MeasureCSD$new()
Method clone()
The objects of this class are cloneable with this method.
Usage
MeasureCSD$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
Yael-Travis-Lumer/mlr3learners.KMforCSD documentation built on Sept. 20, 2020, 11:49 a.m.
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Description Super classes Methods
Description
A mlr3::measure which is a modification of the quadratic loss for CSD
Calls KMforCSD::KMforCSD().
Super classes
mlr3::Measure -> mlr3::MeasureRegr -> MeasureCSD
Methods
Public methods
Inherited methods
Method new()
Usage
MeasureCSD$new()
Method clone()
The objects of this class are cloneable with this method.
Usage
MeasureCSD$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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