map.impute: Imputation mappings
In XanderHorn/lazy: Automated data pre-processing and machine learning
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Creates imputation mapping values for all features provided
Usage
1
map.impute(data, x = NULL, progress = TRUE)
Arguments
data
[required | data.frame] Dataset containing features
x
[required | character] A vector of feature names present in the dataset
progress
[optional | logical | default=TRUE] Display a progress bar
Value
List of data frames containing imputation mapping values
Author(s)
Xander Horn
Examples
1
res <- map.impute(data = iris, x = names(iris))
XanderHorn/lazy documentation built on Jan. 16, 2021, 6:15 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
Creates imputation mapping values for all features provided
Usage
1 | map.impute(data, x = NULL, progress = TRUE)
|
Arguments
data |
[required | data.frame] Dataset containing features |
x |
[required | character] A vector of feature names present in the dataset |
progress |
[optional | logical | default=TRUE] Display a progress bar |
Value
List of data frames containing imputation mapping values
Author(s)
Xander Horn
Examples
1 | res <- map.impute(data = iris, x = names(iris))
|
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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