4.3.0
* FIX: Improved auto-install for Debian/Ubuntu systems where pip
module is not available
* FIX: Auto-install now tries multiple methods: pip module, ensurepip
bootstrap, apt via pkexec
* FIX: Installation failure dialog now shows manual installation
commands directly
* COMPAT: Full QGIS 4.0 forward compatibility - migrated all PyQt5
imports to qgis.PyQt
* PERF: Vectorized scale() functions - ~60% CPU reduction for data
normalization
* PERF: Vectorized Shannon entropy calculation - ~95% speedup (minutes
to seconds)
* PERF: Vectorized raster band reading with GDAL ReadAsArray() - ~30%
I/O improvement
* PERF: Optimized GMM prediction with NumPy einsum - ~40% CPU
reduction
* PERF: Vectorized geodesic distance matrix computation - ~50% speedup
* PERF: Replaced repeated array concatenation with pre-allocation -
~30% memory reduction
* PERF: Replaced if-elif chains with dict lookups for GDAL/NumPy type
conversion
* FIX: Robust layer source path extraction using QgsProviderRegistry
(handles GeoPackage, etc.)
* CODE: Added get_layer_source_path() helper for safe URI parsing
4.2.0
* 🎯 NEW: 7 additional machine learning algorithms - XGBoost, LightGBM,
Extra Trees, Gradient Boosting, Logistic Regression, Naive Bayes, MLP
* 🚀 NEW: Automatic dependency installation system - one-click install
of scikit-learn, XGBoost, LightGBM
* ⚡ NEW: Automatic hyperparameter optimization with cross-validation
grid search for all algorithms
* 🔧 NEW: Smart sparse label handling - automatically handles missing
class labels (e.g., 0,1,3)
* 📊 NEW: GitHub issue integration - automatic error reporting
templates with system info
* 🎨 IMPROVED: Better log levels (INFO vs WARNING) and more informative
progress messages
* 🐛 FIX: Resolved parameter delegation issues for XGBoost/LightGBM
wrappers
* 🐛 FIX: Fixed model serialization/pickling for new wrapper classes
* 📈 ENHANCED: Real-time pip installation progress with detailed
logging
* 📝 ENHANCED: Comprehensive error handling with specific exception
types and user guidance
4.1.0
* Major code refactoring and optimization of scripts/mainfunction.py
* Remove Hungarian notation prefixes (in/out) from parameter names
with full backward compatibility
* Significant memory optimizations for large multi-band image
processing
* Enhanced error handling with specific exception types and detailed
error messages
* Added comprehensive type hints and improved documentation
* Broke down 1279-line method into focused, maintainable helper
methods
* Added configuration constants for better maintainability
* Created parameter migration guide for smooth transition
* All old parameter names remain functional with deprecation warnings
4.0.0
* Major version with comprehensive improvements
3.70
* Fix bug with new gdal import from osgeo
3.64
* add closing filter in the processing toolbox
3.63
* fix bug in train algorithm (split waspercent of train not of
validation)
3.62
* fig bug when loading cursor was not removed after unsucessful
learning.
3.61
* fix bug #19 with self.addAlgorithm(alg).
3.6
* Add confidence map in processing
* Add median filter and shannon entropy
* Fix bug with GMM confidence map
* Move dzetsaka icons to extension toolbar

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