preprocess_identity: Preprocess data by leaving it exactly the way it is.
In easyml: Easily Build and Evaluate Machine Learning Models
Description
Usage
Arguments
Value
See Also
Description
This function is the same as the identity function. Anything passed
to it is returned untouched.
Usage
1
preprocess_identity(.data, categorical_variables = NULL)
Arguments
.data
A data.frame; the data to be analyzed.
categorical_variables
A logical vector; each value TRUE indicates that column in the data.frame is a categorical variable. Defaults to NULL.
Value
A list, containing one or two data.frames.
See Also
Other preprocess: preprocess_scale
easyml documentation built on June 26, 2017, 9:02 a.m.
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Description Usage Arguments Value See Also
Description
This function is the same as the identity function. Anything passed to it is returned untouched.
Usage
1 | preprocess_identity(.data, categorical_variables = NULL)
|
Arguments
.data |
A data.frame; the data to be analyzed. |
categorical_variables |
A logical vector; each value TRUE indicates that column in the data.frame is a categorical variable. Defaults to NULL. |
Value
A list, containing one or two data.frames.
See Also
Other preprocess: preprocess_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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