stratified_sample

This function performs stratified sampling based on the provided target vector.
The sampling is done proportionally to the distribution of values in the target vector.

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

stratified_sample function

<dl><dt>target_vec</dt>
<dd>A vector representing the target variable used for stratification.
The function will sample from each class (level) proportionally.</dd>
<dt>n_sample</dt>
<dd>The total number of samples to draw.</dd></dl>

Arguments

Stratified sampling helper — stratified_sample

<dl>

<dt>target_vec</dt>
<dd>A vector representing the target variable used for stratification.
The function will sample from each class (level) proportionally.</dd>


<dt>n_sample</dt>
<dd>The total number of samples to draw.</dd>

</dl>

stratified_sample: Stratified sampling helper

Description

Usage

Value

Arguments