fit_model

Fit and predict in a single function.

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

fit_model function

<dl><dt>df</dt>
<dd>A data.frame object</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>drop_non_numeric</dt>
<dd>Should non numeric columns be dropped? 
Defaults to FALSE</dd>
<dt>...</dt>
<dd>Other arguments to specific model types.</dd></dl>

Arguments

Fit and predict in a single function. — fit_model

<dl>

<dt>df</dt>
<dd>A data.frame object</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>drop_non_numeric</dt>
<dd>Should non numeric columns be dropped? 
Defaults to FALSE</dd>


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

</dl>

fit_model: Fit and predict in a single function.

Description

Usage

Arguments

Examples