leakr_from_caret

Extract data from caret train objects for leakage analysis.

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

leakr_from_caret function

<dl><dt>train_obj</dt>
<dd>caret train object</dd>
<dt>original_data</dt>
<dd>Original training data (if available)</dd>
<dt>target_name</dt>
<dd>Custom name for target variable (default: "target")</dd></dl>

Arguments

Convert caret training objects to standard format — leakr_from_caret

<dl>

<dt>train_obj</dt>
<dd>caret train object</dd>


<dt>original_data</dt>
<dd>Original training data (if available)</dd>


<dt>target_name</dt>
<dd>Custom name for target variable (default: "target")</dd>

</dl>

leakr_from_caret: Convert caret training objects to standard format

Description

Usage

Value

Arguments