leakr_load_snapshot

Restore data from a previously created snapshot with integrity checking.

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_load_snapshot function

<dl><dt>snapshot_path</dt>
<dd>Path to snapshot directory</dd>
<dt>format</dt>
<dd>Format to load: "rds" (recommended), "csv"</dd>
<dt>verify_integrity</dt>
<dd>Whether to verify data integrity using hash</dd></dl>

Arguments

Load data snapshot with enhanced validation — leakr_load_snapshot

<dl>

<dt>snapshot_path</dt>
<dd>Path to snapshot directory</dd>


<dt>format</dt>
<dd>Format to load: "rds" (recommended), "csv"</dd>


<dt>verify_integrity</dt>
<dd>Whether to verify data integrity using hash</dd>

</dl>

leakr_load_snapshot: Load data snapshot with enhanced validation

Description

Usage

Value

Arguments