Update the state of first argument to have learned or fit from second argument.

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

fit function

<dl><dt>vps</dt>
<dd>vtreat pipe step, object specifying fit</dd>
<dt>dframe</dt>
<dd>data.frame, data to fit from.</dd>
<dt>...</dt>
<dd>not used, forces later arguments to bind by name.</dd>
<dt>weights</dt>
<dd>optional, per-dframe data weights.</dd>
<dt>parallelCluster</dt>
<dd>optional, parallel cluster to run on.</dd></dl>

Arguments

Fit first arguemnt to data in second argument. — fit

<dl>

<dt>vps</dt>
<dd>vtreat pipe step, object specifying fit</dd>


<dt>dframe</dt>
<dd>data.frame, data to fit from.</dd>


<dt>...</dt>
<dd>not used, forces later arguments to bind by name.</dd>


<dt>weights</dt>
<dd>optional, per-dframe data weights.</dd>


<dt>parallelCluster</dt>
<dd>optional, parallel cluster to run on.</dd>

</dl>

fit: Fit first arguemnt to data in second argument.

Description

Usage

Value

Arguments

Details