import_parquet

Import and process Parquet files into a standardized data.frame.

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

import_parquet function

<dl><dt>file_path</dt>
<dd>Path to the Parquet file.</dd>
<dt>verbose</dt>
<dd>Logical flag indicating whether to show progress messages (default is FALSE).</dd>
<dt>...</dt>
<dd>Additional arguments passed to <code>arrow::read_parquet()</code>.</dd></dl>

Arguments

Import Parquet files — import_parquet

<dl>

<dt>file_path</dt>
<dd>Path to the Parquet file.</dd>


<dt>verbose</dt>
<dd>Logical flag indicating whether to show progress messages (default is FALSE).</dd>


<dt>...</dt>
<dd>Additional arguments passed to <code>arrow::read_parquet()</code>.</dd>

</dl>

import_parquet: Import Parquet files

Description

Usage

Value

Arguments