grapes-or-or-grapes

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Null-coalescing operator for clean default value handling

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

grapes-or-or-grapes function

<dl><dt>x</dt>
<dd>First value to check</dd>
<dt>y</dt>
<dd>Fallback value if x is NULL</dd></dl>

Arguments

Null-coalescing operator for clean default value handling — grapes-or-or-grapes

<dl>

<dt>x</dt>
<dd>First value to check</dd>


<dt>y</dt>
<dd>Fallback value if x is NULL</dd>

</dl>

grapes-or-or-grapes: Null-coalescing operator for clean default value handling

Description

Usage

Value

Arguments