OneHotEncoder-class: class OneHotEncoder
In stschn/deepANN: Neural Network Toolbox
OneHotEncoder R Documentation
class OneHotEncoder
Description
A class for encoding labels as a one-hot numeric array.
Super class
deepANN::Encoder -> OneHotEncoder
Public fields
categories('NULL' | character vector)
Holds the labels for the input.
Methods
Public methods
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Method new()
Creates a new instance of this R6 class.
Usage
OneHotEncoder$new(categories = NULL)
Arguments
categoriesDesired categories of the input data. If NULL (default), the categories are automatically determined from the input data.
Method fit()
Extract labels from input.
Usage
OneHotEncoder$fit(x)
Arguments
xThe input, usually a factor.
Returns
The instance self itself.
Method transform()
Encode input to numeric values between 0 and n_labels-1.
Usage
OneHotEncoder$transform(x)
Arguments
xThe input that will be encoded.
Returns
The encoded x.
Method fit_transform()
Run fit() and transform().
Usage
OneHotEncoder$fit_transform(x)
Arguments
xThe input that will be encoded.
Returns
The encoded x.
Method inverse_transform()
Transform labels back to original encoding.
Usage
OneHotEncoder$inverse_transform(x)
Arguments
xThe data that will be transformed back.
Returns
The original encoded x.
Method clone()
The objects of this class are cloneable with this method.
Usage
OneHotEncoder$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"))
ohe <- OneHotEncoder$new()
xt <- ohe$fit_transform(x)
ohe$inverse_transform(xt)
stschn/deepANN documentation built on June 25, 2024, 7:27 a.m.
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| OneHotEncoder | R Documentation |
class OneHotEncoder
Description
A class for encoding labels as a one-hot numeric array.
Super class
deepANN::Encoder -> OneHotEncoder
Public fields
categories('NULL' | character vector)
Holds the labels for the input.
Methods
Public methods
Method new()
Creates a new instance of this R6 class.
Usage
OneHotEncoder$new(categories = NULL)
Arguments
categoriesDesired categories of the input data. If
NULL(default), the categories are automatically determined from the input data.
Method fit()
Extract labels from input.
Usage
OneHotEncoder$fit(x)
Arguments
xThe input, usually a
factor.
Returns
The instance self itself.
Method transform()
Encode input to numeric values between 0 and n_labels-1.
Usage
OneHotEncoder$transform(x)
Arguments
xThe input that will be encoded.
Returns
The encoded x.
Method fit_transform()
Run fit() and transform().
Usage
OneHotEncoder$fit_transform(x)
Arguments
xThe input that will be encoded.
Returns
The encoded x.
Method inverse_transform()
Transform labels back to original encoding.
Usage
OneHotEncoder$inverse_transform(x)
Arguments
xThe data that will be transformed back.
Returns
The original encoded x.
Method clone()
The objects of this class are cloneable with this method.
Usage
OneHotEncoder$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
Examples
x <- factor(c("small", "small", "medium", "large", "large", "medium", "small"), levels = c("small", "medium", "large"))
ohe <- OneHotEncoder$new()
xt <- ohe$fit_transform(x)
ohe$inverse_transform(xt)
R Package Documentation
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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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