validate_imported_data

Enhanced data validation with better error messages

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

validate_imported_data function

<dl><dt>data</dt>
<dd>Input data.frame</dd>
<dt>source</dt>
<dd>Source identifier for error messages</dd></dl>

Arguments

Enhanced data validation with better error messages — validate_imported_data

<dl>

<dt>data</dt>
<dd>Input data.frame</dd>


<dt>source</dt>
<dd>Source identifier for error messages</dd>

</dl>

validate_imported_data: Enhanced data validation with better error messages

Description

Usage

Value

Arguments