import_json

Import and process JSON files, converting them 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_json function

<dl><dt>file_path</dt>
<dd>Path to the JSON 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><a href="/link/jsonlite%3A%3AfromJSON()?package=leakr&version=0.1.0" data-mini-rdoc="leakr::jsonlite::fromJSON()">jsonlite::fromJSON()</a></code>.</dd></dl>

Arguments

Import JSON files with better structure handling — import_json

<dl>

<dt>file_path</dt>
<dd>Path to the JSON 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><a href='https://rdrr.io/pkg/jsonlite/man/fromJSON.html'>jsonlite::fromJSON()</a></code>.</dd>

</dl>

import_json: Import JSON files with better structure handling

Description

Usage

Value

Arguments