Data Leakage Detection Tools for Machine Learning

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Documentation for package ‘leakr’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

leakr-package	leakr: Data Leakage Detection for Machine Learning in R
%||%	Null-coalescing operator for clean default value handling
compile_report	Enhanced report compilation with numeric severity scores
format_detector_name	Format detector names for display.
grapes-or-or-grapes	Null-coalescing operator for clean default value handling
leakr	leakr: Data Leakage Detection for Machine Learning in R
leakr_audit	Audit dataset for data leakage
leakr_create_snapshot	Create data snapshots with improved metadata handling
leakr_export_data	Export data in various formats
leakr_from_caret	Convert caret training objects to standard format
leakr_from_mlr3	Convert mlr3 Task objects to standard format
leakr_from_tidymodels	Convert tidymodels workflow to standard format
leakr_import	Import data from various sources for leakage analysis
leakr_list_snapshots	List available snapshots with enhanced information
leakr_load_snapshot	Load data snapshot with enhanced validation
leakr_plot	Plot leakage detection results
leakr_quick_import	Fast import with default preprocessing
leakr_summarise	Enhanced summarise with better formatting
list_registered_detectors	List Registered Detectors
new_temporal_detector	Create a new temporal detector
new_train_test_detector	Create a new train-test detector
plot.detector_result	Plot a detector_result object
plot.udld_report	Plot a udld_report object
register_detector	Register a new detector
run_detector	Run a detector on data