spline_variablec

Return a spline approximation of the change in log odds.

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

spline_variablec function

<dl><dt>varName</dt>
<dd>character, name of variable</dd>
<dt>x</dt>
<dd>numeric input (not empty, no NAs).</dd>
<dt>y</dt>
<dd>numeric or castable to such (same length as x no NAs), output to match</dd>
<dt>w</dt>
<dd>numeric positive, same length as x (weights, can be NULL)</dd></dl>

Arguments

Spline variable categorical target. — spline_variablec

<dl>

<dt>varName</dt>
<dd>character, name of variable</dd>


<dt>x</dt>
<dd>numeric input (not empty, no NAs).</dd>


<dt>y</dt>
<dd>numeric or castable to such (same length as x no NAs), output to match</dd>


<dt>w</dt>
<dd>numeric positive, same length as x (weights, can be NULL)</dd>

</dl>

spline_variablec: Spline variable categorical target.

Description

Usage

Value

Arguments