set_feat_dist

This function stores the output of <code>extracting_distribution()</code> /
<code>feat_reorder()</code> inside the package, so subsequent functions (e.g.,
<code>VAE_train()</code>) can access it safely without relying on the global
environment.

Build and train a variational autoencoder (VAE) for mixed-type
tabular data (continuous, binary, categorical).
Models are implemented using 'TensorFlow' and 'Keras' via the 'reticulate'
interface, enabling reproducible VAE training for heterogeneous tabular
datasets.

Sarah Milligan

autotab

Variational Autoencoders for Heterogeneous Tabular Data

set_feat_dist function

<dl><dt>feat_dist</dt>
<dd>A data.frame returned by <code>extracting_distribution()</code>
or <code>feat_reorder()</code>.</dd></dl>

Arguments

Set the feature distribution for AutoTab — set_feat_dist

<dl>

<dt>feat_dist</dt>
<dd>A data.frame returned by <code>extracting_distribution()</code>
or <code>feat_reorder()</code>.</dd>

</dl>

set_feat_dist: Set the feature distribution for AutoTab

Description

Usage

Arguments