R: Data Leakage Detection Tools for Machine Learning

# Data Leakage Detection Tools for Machine Learning

## Documentation for package ‘leakr’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## 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