generate_issues_section

Generate detailed issues section with output formatting and truncation.
FIX ME

internal

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

generate_issues_section function

<dl><dt>report</dt>
<dd>TODO: Document</dd>
<dt>format</dt>
<dd>TODO: Document</dd></dl>

Arguments

Generate detailed issues section with output formatting and truncation. — generate_issues_section

<dl>

<dt>report</dt>
<dd>TODO: Document</dd>


<dt>format</dt>
<dd>TODO: Document</dd>

</dl>

generate_issues_section: Generate detailed issues section with output formatting and truncation.

Description

Usage

Value

Arguments