get_caret_processed_df: Get preprocessed dataframe for continuous variables
In mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines
get_caret_processed_df R Documentation
Get preprocessed dataframe for continuous variables
Description
Get preprocessed dataframe for continuous variables
Usage
get_caret_processed_df(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
Named list:
-
processed: Dataframe of processed features.
-
removed: Names of any features removed during preprocessing.
Author(s)
Zena Lapp, zenalapp@umich.edu
Examples
get_caret_processed_df(mikropml::otu_small[, 2:ncol(otu_small)], c("center", "scale"))
mikropml documentation built on Aug. 21, 2023, 5:10 p.m.
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| get_caret_processed_df | R Documentation |
Get preprocessed dataframe for continuous variables
Description
Get preprocessed dataframe for continuous variables
Usage
get_caret_processed_df(features, method)
Arguments
features |
Dataframe of features for machine learning |
method |
Methods to preprocess the data, described in
|
Value
Named list:
-
processed: Dataframe of processed features. -
removed: Names of any features removed during preprocessing.
Author(s)
Zena Lapp, zenalapp@umich.edu
Examples
get_caret_processed_df(mikropml::otu_small[, 2:ncol(otu_small)], c("center", "scale"))
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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