print.multinomial_plan

A 'data.frame' processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner.
'vtreat' prepares variables so that data has fewer exceptional cases, making
it easier to safely use models in production. Common problems 'vtreat' defends
against: 'Inf', 'NA', too many categorical levels, rare categorical levels, and new
categorical levels (levels seen during application, but not during training). Reference:
"'vtreat': a data.frame Processor for Predictive Modeling", Zumel, Mount, 2016, <DOI:10.5281/zenodo.1173313>.

John Mount

vtreat

A Statistically Sound 'data.frame' Processor/Conditioner

Nina Zumel

 Win-Vector LLC

print.multinomial_plan function

<dl><dt>x</dt>
<dd>treatmentplan</dd>
<dt>...</dt>
<dd>additional args (to match general signature).</dd></dl>

Arguments

Print treatmentplan. — print.multinomial_plan

<dl>

<dt>x</dt>
<dd>treatmentplan</dd>


<dt>...</dt>
<dd>additional args (to match general signature).</dd>

</dl>

print.multinomial_plan: Print treatmentplan.

Description

Usage

Arguments