na_replace

Frequently one needs a convenient way to build and tune
several models in one go.The goal is to provide a number of machine learning convenience
functions. It provides the ability to build, tune and obtain predictions of
several models in one function. The models are built using functions from
'caret' with easier to read syntax.
Kuhn(2014) <doi:10.48550/arXiv.1405.6974>.

Nelson Gonzabato

manymodelr

Build and Tune Several Models

na_replace function

<dl><dt>df</dt>
<dd>The data set(data.frame or vector) for which replacements are required</dd>
<dt>how</dt>
<dd>How should missing values be replaced? One of ffill, samples,value or any other known
method e.g mean, median, max ,min. The default is NULL meaning no imputation is done. For character vectors,
the use of `get_mode` is also supported. No implementation for class factor(yet).</dd>
<dt>value</dt>
<dd>If how is set to value, this allows the user to provide a specific fill value for the NAs.</dd></dl>

Arguments

Replace missing values — na_replace

<dl>

<dt>df</dt>
<dd>The data set(data.frame or vector) for which replacements are required</dd>


<dt>how</dt>
<dd>How should missing values be replaced? One of ffill, samples,value or any other known
method e.g mean, median, max ,min. The default is NULL meaning no imputation is done. For character vectors,
the use of `get_mode` is also supported. No implementation for class factor(yet).</dd>


<dt>value</dt>
<dd>If how is set to value, this allows the user to provide a specific fill value for the NAs.</dd>

</dl>

na_replace: Replace missing values

Description

Usage

Value

Arguments

Details

Examples