gaussian_transform_separate: Transforms new data to standardized normal (dimension 1)...
In shapr: Prediction Explanation with Dependence-Aware Shapley Values
View source: R/transformation.R
gaussian_transform_separate R Documentation
Transforms new data to standardized normal (dimension 1) based on other data transformations
Description
Transforms new data to standardized normal (dimension 1) based on other data transformations
Usage
gaussian_transform_separate(yx, n_y)
Arguments
yx
Numeric vector. The first n_y items is the data that is transformed, and last
part is the data with the original transformation.
n_y
Positive integer. Number of elements of yx that belongs to the gaussian data.
Value
Vector of back-transformed Gaussian data
Author(s)
Martin Jullum
shapr documentation built on May 4, 2023, 5:10 p.m.
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View source: R/transformation.R
| gaussian_transform_separate | R Documentation |
Transforms new data to standardized normal (dimension 1) based on other data transformations
Description
Transforms new data to standardized normal (dimension 1) based on other data transformations
Usage
gaussian_transform_separate(yx, n_y)
Arguments
yx |
Numeric vector. The first |
n_y |
Positive integer. Number of elements of |
Value
Vector of back-transformed Gaussian data
Author(s)
Martin Jullum
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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