summary.crs

Summary method for Collaborative Filter

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

summary.crs function

<dl><dt>object</dt>
<dd>Return value from <code>crs</code></dd>
<dt>n</dt>
<dd>Number of lines of recommendations to print. Use -1 to print all lines</dd>
<dt>dec</dt>
<dd>Number of decimals to show</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods</dd></dl>

Arguments

Summary method for Collaborative Filter — summary.crs

<dl>

<dt>object</dt>
<dd>Return value from <code>crs</code></dd>


<dt>n</dt>
<dd>Number of lines of recommendations to print. Use -1 to print all lines</dd>


<dt>dec</dt>
<dd>Number of decimals to show</dd>


<dt>...</dt>
<dd>further arguments passed to or from other methods</dd>

</dl>

summary.crs: Summary method for Collaborative Filter

Description

Usage

Arguments

Details

See Also

Examples