Package: leakr 0.1.0

Introduction | Understanding leakr's Detection Capabilities | Advanced Target Leakage Scenarios | Medical Diagnosis Example | Financial Data with Temporal Issues | Advanced Duplication Detection | Near-Duplicate Detection in Customer Data | Configuration and Customisation | Custom Configuration Options | Working with Large Datasets | Stratified Sampling for Balanced Analysis | Advanced Reporting and Analysis | Detailed Report Analysis | Best Practices for Advanced Usage | 1. Multi-Stage Validation | 2. Domain-Specific Validation | Summary

Introduction | Integration with caret | Basic caret Integration | Advanced caret Integration with Preprocessing | Integration with mlr3 | Basic mlr3 Integration | Advanced mlr3 Integration with Pipelines | Integration with tidymodels | Basic tidymodels Integration | Advanced tidymodels Integration with Feature Engineering | Data Import and Export Integration | Import with Automatic Auditing | Export with Audit Reports | Snapshot and Version Control Integration | Creating Data Snapshots | Workflow Integration Patterns | Pattern 1: Pre-Training Validation | Pattern 2: Post-Training Audit | Pattern 3: Continuous Monitoring | Performance Considerations | Memory-Efficient Processing | Best Practices for Framework Integration | 1. Integration Timing | 2. Configuration Management | 3. Error Handling and Logging | Summary

Introduction | Basic Usage: The leakr_audit() Function | Simple Example with iris Dataset | Understanding the Output | Working with Train/Test Splits | Detecting Specific Leakage Patterns | Target Leakage Detection | Duplication Detection | Configuration and Customisation | Visualising Results | Working with Large Datasets | Next Steps | Summary