plot.udld_report

This function generates a bar plot of leakage issues detected by different detectors.
The plot displays the count of issues by severity level for each detector in a <code>udld_report</code> object.

Provides utilities to detect common data leakage patterns including train/test
contamination, temporal leakage, and data duplication, enhancing model reliability and
reproducibility in machine learning workflows. Generates diagnostic reports and visual
summaries to support data validation. Methods based on best practices from Hastie,
Tibshirani, and Friedman (2009, ISBN:978-0387848570).

Cheryl Isabella

leakr

Data Leakage Detection Tools for Machine Learning

plot.udld_report function

<dl><dt>x</dt>
<dd>A <code>udld_report</code> object. This object contains the detectors and their associated issues.</dd>
<dt>palette</dt>
<dd>Optional. A <code>ggplot2</code> discrete palette for coloring the bars based on severity.</dd>
<dt>...</dt>
<dd>Additional arguments passed to <code>ggplot2</code> functions or other methods. These are typically
used for customizing the plot further.</dd></dl>

Arguments

Plot a udld_report object — plot.udld_report

<dl>

<dt>x</dt>
<dd>A <code>udld_report</code> object. This object contains the detectors and their associated issues.</dd>


<dt>palette</dt>
<dd>Optional. A <code>ggplot2</code> discrete palette for coloring the bars based on severity.</dd>


<dt>...</dt>
<dd>Additional arguments passed to <code>ggplot2</code> functions or other methods. These are typically
used for customizing the plot further.</dd>

</dl>

plot.udld_report: Plot a udld_report object

Description

Usage

Value

Arguments