LabelBinarizer-class: class LabelBinarizer
In stschn/deepANN: Neural Network Toolbox
LabelBinarizer R Documentation
class LabelBinarizer
Description
A class for encoding a categorical variable as a label indicator matrix.
Super classes
deepANN::Encoder -> deepANN::OneHotEncoder -> LabelBinarizer
Methods
Public methods
Inherited methods
Method clone()
The objects of this class are cloneable with this method.
Usage
LabelBinarizer$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
Examples
x <- factor(c("small", "small", "medium", "large", "large", "medium", "small"), levels = c("small", "medium", "large"))
lb <- LabelBinarizer$new()
xt <- lb$fit_transform(x)
lb$inverse_transform(xt)
stschn/deepANN documentation built on June 25, 2024, 7:27 a.m.
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| LabelBinarizer | R Documentation |
class LabelBinarizer
Description
A class for encoding a categorical variable as a label indicator matrix.
Super classes
deepANN::Encoder -> deepANN::OneHotEncoder -> LabelBinarizer
Methods
Public methods
Inherited methods
Method clone()
The objects of this class are cloneable with this method.
Usage
LabelBinarizer$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
Examples
x <- factor(c("small", "small", "medium", "large", "large", "medium", "small"), levels = c("small", "medium", "large"))
lb <- LabelBinarizer$new()
xt <- lb$fit_transform(x)
lb$inverse_transform(xt)
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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