start_resample

Specify a resampling scheme for start_data

A system built on 'tidymodels' for generating synthetic tabular
data. We provide tools for ordering a sequential synthesis, feature and
target engineering, sampling, hyperparameter tuning, enforcing constraints,
and adding extra noise during a synthesis.

Aaron Williams

tidysynthesis

A Common API for Synthesizing Data

Aaron R. Williams

Kyle Ueyama

Gabe Morrison

Jeremy Seeman

Elyse McFalls

Claire Morton

Livia Mucciolo

Madeline Pickens

Noah Zwiefel

The Urban Institute 

start_resample function

<dl><dt>start_data</dt>
<dd>A <code>data.frame</code></dd>
<dt>n</dt>
<dd>An optional integer sample size. If unspecified, <code>n = nrow(start_data)</code></dd>
<dt>inv_noise_scale</dt>
<dd>An optional parameter to set randomized noise to the proportions
of records with different <code>start_data</code> characteristics. Corresponds to a privacy loss
budget under epsilon differential privacy.</dd>
<dt>support</dt>
<dd>A string that specifies the method of resampling from the <code>start_data</code>
domain.</dd></dl>

Arguments

Specify a resampling scheme for start_data — start_resample

<dl>

<dt>start_data</dt>
<dd>A <code>data.frame</code></dd>


<dt>n</dt>
<dd>An optional integer sample size. If unspecified, <code>n = nrow(start_data)</code></dd>


<dt>inv_noise_scale</dt>
<dd>An optional parameter to set randomized noise to the proportions
of records with different <code>start_data</code> characteristics. Corresponds to a privacy loss
budget under epsilon differential privacy.</dd>


<dt>support</dt>
<dd>A string that specifies the method of resampling from the <code>start_data</code>
domain.</dd>

</dl>

Specify a resampling scheme for start_data

start_resample: Specify a resampling scheme for start_data

Description

Usage

Value

Arguments

Examples