control_cluster

Options can be passed to the <code>fit.cluster_spec()</code> function that control the
output and computations.

A common interface to specifying clustering models, in the
same style as 'parsnip'. Creates unified interface across different
functions and computational engines.

Emil Hvitfeldt

tidyclust

A Common API to Clustering

Kelly Bodwin

Posit Software, PBC 

control_cluster function

<dl><dt>verbosity</dt>
<dd>An integer where a value of zero indicates that no messages
or output should be shown when packages are loaded or when the model is
fit. A value of 1 means that package loading is quiet but model fits can
produce output to the screen (depending on if they contain their own
<code>verbose</code>-type argument). A value of 2 or more indicates that any output
should be seen.</dd>
<dt>catch</dt>
<dd>A logical where a value of <code>TRUE</code> will evaluate the model inside
of <code>try(, silent = TRUE)</code>. If the model fails, an object is still returned
(without an error) that inherits the class "try-error".</dd></dl>

Arguments

Control the fit function — control_cluster

<dl>

<dt>verbosity</dt>
<dd>An integer where a value of zero indicates that no messages
or output should be shown when packages are loaded or when the model is
fit. A value of 1 means that package loading is quiet but model fits can
produce output to the screen (depending on if they contain their own
<code>verbose</code>-type argument). A value of 2 or more indicates that any output
should be seen.</dd>


<dt>catch</dt>
<dd>A logical where a value of <code>TRUE</code> will evaluate the model inside
of <code>try(, silent = TRUE)</code>. If the model fails, an object is still returned
(without an error) that inherits the class "try-error".</dd>

</dl>

control_cluster: Control the fit function

Description

Usage

Value

Arguments

Examples