getSplitPlanAppLabels

read application labels off a split 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

getSplitPlanAppLabels function

<dl><dt>nRow</dt>
<dd>number of rows in original data.frame.</dd>
<dt>plan</dt>
<dd>split plan</dd></dl>

Arguments

read application labels off a split plan. — getSplitPlanAppLabels

<dl>

<dt>nRow</dt>
<dd>number of rows in original data.frame.</dd>


<dt>plan</dt>
<dd>split plan</dd>

</dl>

getSplitPlanAppLabels: read application labels off a split plan.

Description

Usage

Value

Arguments

See Also

Examples