equality_constraint

For continuous numerical columns, exact <code>==</code> is almost never satisfied by
the copula sampler; use the <code>tolerance</code> argument or
<code>inequality_constraint()</code> with a narrow band. With <code>tolerance &gt; 0</code>, equality
is <code>abs(a - b) &lt;= tolerance</code> for numeric columns and exact <code>==</code> otherwise.

Generates synthetic tabular data from real datasets using
Gaussian copula models, with parametric marginal selection for
numerical columns and a cumulative-frequency embedding that brings
categorical and boolean columns into the same joint copula. Includes
a metadata system with column types and primary keys, declarative
constraints enforced via rejection sampling, conditional sampling,
and quality, validity and privacy reports modeled on those of the
'SDMetrics' library. Inspired by the Python 'SDV' (Synthetic Data
Vault) library by 'DataCebo'; see Patki, Wedge and Veeramachaneni
(2016) "The Synthetic Data Vault" <doi:10.1109/DSAA.2016.49>.

Kailas Venkitasubramanian

rsdv

Synthetic Tabular Data Generation with Gaussian Copulas

equality_constraint function

<dl><dt>col_a, col_b</dt>
<dd>Column names (character).</dd>
<dt>tolerance</dt>
<dd>Numeric. When non-zero, numeric columns compare with
<code>abs(a - b) &lt;= tolerance</code> instead of exact <code>==</code>. Ignored for
non-numeric columns. Default <code>0</code> (exact equality).</dd></dl>

Arguments

Constraint: two columns must be equal row-wise — equality_constraint

<dl>

<dt>col_a, col_b</dt>
<dd>Column names (character).</dd>


<dt>tolerance</dt>
<dd>Numeric. When non-zero, numeric columns compare with
<code>abs(a - b) &lt;= tolerance</code> instead of exact <code>==</code>. Ignored for
non-numeric columns. Default <code>0</code> (exact equality).</dd>

</dl>

equality_constraint: Constraint: two columns must be equal row-wise

Description

Usage

Value

Arguments

Examples