multi_model_2

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

multi_model_2 function

<dl><dt>old_data</dt>
<dd>The data set to which predicted values will be added.</dd>
<dt>new_data</dt>
<dd>The data set to use for predicting.</dd>
<dt>yname</dt>
<dd>The outcome variable</dd>
<dt>xname</dt>
<dd>The predictor variable(s)</dd>
<dt>modeltype</dt>
<dd>A character specifying the model type e.g lm for 
linear model</dd>
<dt>...</dt>
<dd>Other arguments to specific model types.</dd></dl>

Arguments

Fit and predict in one function — multi_model_2

<dl>

<dt>old_data</dt>
<dd>The data set to which predicted values will be added.</dd>


<dt>new_data</dt>
<dd>The data set to use for predicting.</dd>


<dt>yname</dt>
<dd>The outcome variable</dd>


<dt>xname</dt>
<dd>The predictor variable(s)</dd>


<dt>modeltype</dt>
<dd>A character specifying the model type e.g lm for 
linear model</dd>


<dt>...</dt>
<dd>Other arguments to specific model types.</dd>

</dl>

multi_model_2: Fit and predict in one function

Description

Usage

Arguments

Examples