new_train_test_detector

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

new_train_test_detector function

<dl><dt>threshold</dt>
<dd>TODO: Document
Create a new train-test detector</dd></dl>

Arguments

Create a new train-test detector — new_train_test_detector

<dl>

<dt>threshold</dt>
<dd>TODO: Document
Create a new train-test detector</dd>

</dl>

new_train_test_detector: Create a new train-test detector

Description

Usage

Value

Arguments