randomize_feature_order: Randomize feature order to eliminate any position-dependent...
In SchlossLab/mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines
randomize_feature_order R Documentation
Randomize feature order to eliminate any position-dependent effects
Description
Randomize feature order to eliminate any position-dependent effects
Usage
randomize_feature_order(dataset, outcome_colname)
Arguments
dataset
Data frame with an outcome variable and other columns as features.
outcome_colname
Column name as a string of the outcome variable
(default NULL; the first column will be chosen automatically).
Value
Dataset with feature order randomized.
Author(s)
Nick Lesniak, nlesniak@umich.edu
Kelly Sovacool, sovacool@umich.edu
Examples
dat <- data.frame(
outcome = c("1", "2", "3"),
a = 4:6, b = 7:9, c = 10:12, d = 13:15
)
randomize_feature_order(dat, "outcome")
SchlossLab/mikropml documentation built on Aug. 24, 2023, 9:51 p.m.
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| randomize_feature_order | R Documentation |
Randomize feature order to eliminate any position-dependent effects
Description
Randomize feature order to eliminate any position-dependent effects
Usage
randomize_feature_order(dataset, outcome_colname)
Arguments
dataset |
Data frame with an outcome variable and other columns as features. |
outcome_colname |
Column name as a string of the outcome variable
(default |
Value
Dataset with feature order randomized.
Author(s)
Nick Lesniak, nlesniak@umich.edu
Kelly Sovacool, sovacool@umich.edu
Examples
dat <- data.frame(
outcome = c("1", "2", "3"),
a = 4:6, b = 7:9, c = 10:12, d = 13:15
)
randomize_feature_order(dat, "outcome")
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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