generate_recommendations_section

Format recommendations for output.

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_recommendations_section function

<dl><dt>report</dt>
<dd>A leakr_report object.</dd>
<dt>format</dt>
<dd>TODO: Add description</dd></dl>

Arguments

Format recommendations for output. — generate_recommendations_section

<dl>

<dt>report</dt>
<dd>A leakr_report object.</dd>


<dt>format</dt>
<dd>TODO: Add description</dd>

</dl>

generate_recommendations_section: Format recommendations for output.

Description

Usage

Value

Arguments