store.nb.predict

Store predicted values generated in the nb function

The Radiant Model menu includes interfaces for linear and logistic
regression, naive Bayes, neural networks, classification and regression trees,
model evaluation, collaborative filtering, decision analysis, and simulation.
The application extends the functionality in 'radiant.data'.

Vincent Nijs

radiant.model

Model Menu for Radiant: Business Analytics using R and Shiny

store.nb.predict function

<dl><dt>dataset</dt>
<dd>Dataset to add predictions to</dd>
<dt>object</dt>
<dd>Return value from model function</dd>
<dt>name</dt>
<dd>Variable name(s) assigned to predicted values. If empty, the levels of the response variable will be used</dd>
<dt>...</dt>
<dd>Additional arguments</dd></dl>

Arguments

Store predicted values generated in the nb function — store.nb.predict

<dl>

<dt>dataset</dt>
<dd>Dataset to add predictions to</dd>


<dt>object</dt>
<dd>Return value from model function</dd>


<dt>name</dt>
<dd>Variable name(s) assigned to predicted values. If empty, the levels of the response variable will be used</dd>


<dt>...</dt>
<dd>Additional arguments</dd>

</dl>

store.nb.predict: Store predicted values generated in the nb function

Description

Usage

Arguments

Details

Examples