OutlierCleaner v1.0.1

OutlierCleaner v1.0.1 Release

Changes

• Fixed author name spelling
• Updated documentation for consistency

Previous Features (v1.0.0)

• Automatic method selection based on data distribution
• Multiple outlier detection methods (IQR, Z-score, Modified Z-score)
• Advanced distribution analysis and method recommendations
• Progress tracking for batch operations
• Index preservation options
• Outlier tracking and statistics
• Robust handling of edge cases

Documentation

• Updated README with comprehensive examples using California Housing dataset
• Added detailed method descriptions
• Improved installation and dependency information

Dependencies

• Updated minimum versions for all dependencies
• Added new dependencies: scipy, tqdm
• Added scikit-learn as optional dependency for examples

Breaking Changes

None - All existing functionality is preserved with backward compatibility.

Example Usage

The README now includes a complete example using the California Housing dataset, demonstrating all major features including:

• Distribution analysis
• Automatic method selection
• Progress tracking
• Index preservation
• Outlier tracking
• Visualization tools