leakr_create_snapshot

Save data and metadata for reproducible leakage analysis with optimised performance.

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_create_snapshot function

<dl><dt>data</dt>
<dd>Data.frame to snapshot</dd>
<dt>output_dir</dt>
<dd>Directory for snapshot files</dd>
<dt>snapshot_name</dt>
<dd>Name for this snapshot</dd>
<dt>metadata</dt>
<dd>Additional metadata to store</dd>
<dt>sample_for_hash</dt>
<dd>Whether to sample large datasets for faster hashing</dd></dl>

Arguments

Create data snapshots with improved metadata handling — leakr_create_snapshot

<dl>

<dt>data</dt>
<dd>Data.frame to snapshot</dd>


<dt>output_dir</dt>
<dd>Directory for snapshot files</dd>


<dt>snapshot_name</dt>
<dd>Name for this snapshot</dd>


<dt>metadata</dt>
<dd>Additional metadata to store</dd>


<dt>sample_for_hash</dt>
<dd>Whether to sample large datasets for faster hashing</dd>

</dl>

leakr_create_snapshot: Create data snapshots with improved metadata handling

Description

Usage

Value

Arguments