process_cont_feats: Preprocess continuous features
In SchlossLab/mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines
process_cont_feats R Documentation
Preprocess continuous features
Description
Preprocess continuous features
Usage
process_cont_feats(features, method)
Arguments
features
Dataframe of features for machine learning
method
Methods to preprocess the data, described in
caret::preProcess() (default: c("center","scale"), use NULL for
no normalization).
Value
dataframe of preprocessed features
Author(s)
Zena Lapp, zenalapp@umich.edu
Examples
## Not run:
process_cont_feats(mikropml::otu_small[, 2:ncol(otu_small)], c("center", "scale"))
## End(Not run)
SchlossLab/mikropml documentation built on Aug. 24, 2023, 9:51 p.m.
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| process_cont_feats | R Documentation |
Preprocess continuous features
Description
Preprocess continuous features
Usage
process_cont_feats(features, method)
Arguments
features |
Dataframe of features for machine learning |
method |
Methods to preprocess the data, described in
|
Value
dataframe of preprocessed features
Author(s)
Zena Lapp, zenalapp@umich.edu
Examples
## Not run:
process_cont_feats(mikropml::otu_small[, 2:ncol(otu_small)], c("center", "scale"))
## End(Not run)
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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