preprocess: Function for preprocessing predictor variables for machine...
In PeerChristensen/preprocessML: Preprocessing predictor variable for machine learning tasks
Description
Function for preprocessing predictor variables for machine learning tasks
Usage
1
2
Arguments
file
The file (csv) to handle.
id_var
Name of an id variable, if any.
target_var
The name of the target variable.
output_file
Whether to include an output file.
output_removed
Whether to output an additional file detailing which variables where removed and why.
PeerChristensen/preprocessML documentation built on June 9, 2019, 12:43 a.m.
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Description
Function for preprocessing predictor variables for machine learning tasks
Usage
1 2 |
Arguments
file |
The file (csv) to handle. |
id_var |
Name of an id variable, if any. |
target_var |
The name of the target variable. |
output_file |
Whether to include an output file. |
output_removed |
Whether to output an additional file detailing which variables where removed and why. |
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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