Version: [3406] Supervised Classifier 1.0.1

CHANGELOG - Supervised Classifier Plugin for QGIS

Version 1.0.0 (2025-11-16)
==========================

MAJOR FEATURES:
- Added pre-trained model support: Classify rasters using saved .pkl
models
- Batch model processing: Process multiple rasters with multiple
models efficiently  
- Smart processing: Load model once, classify all rasters (optimized
workflow)
- Auto output naming: Model name suffix added to prevent overwriting
(e.g., image_rf.tif, image_svm.tif)
- Model info extraction: Reads class names and label mappings from
model info files
- Pre-trained model checkbox: Toggle between training and pre-trained
modes
- Dynamic UI: Table columns change based on mode (Label Fields vs
Model Info)
- Multiple model warning: Alert showing total output count when
selecting multiple models
- Label Mapping Dialog: View and export label mappings as CSV/JSON
- Simplified completion: Pre-trained mode shows simple message (check
model info file)
- Multiple label fields: Support for shapefiles with multiple binary
label columns

IMPROVEMENTS:
- Optimized loops: Training mode (Raster→References), Pre-trained mode
(Model→Rasters)
- Better progress tracking: Accurate calculation for both modes
- Enhanced error handling: Continue processing if one item fails
- Detailed logging: Console output for debugging
- Band selection: Process specific bands from multi-band rasters
- Model caching: Load model once for multiple rasters (performance
boost)

BUG FIXES:
- Fixed reference shapefile loading issues
- Corrected label field selection for multiple columns
- Resolved output file overwriting with multiple models
- Fixed progress bar calculation for batch processing
- Improved handling of missing model info files

BREAKING CHANGES:
- None - fully backward compatible

KNOWN LIMITATIONS:
- Maximum Likelihood algorithm still in development
- KNN performance may be slow for large datasets

MIGRATION:
No action required. Version 1.0.0 is fully compatible with existing
workflows.
To use pre-trained models: Check the "pre-trained model" checkbox, add
.pkl files, and ensure model info .txt file exists.

yes

mirjanalisha

2025-11-16T18:19:18.942031+00:00

3.0.0

3.99.0

None

no

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