Version: [5968] PARACUDA-NG 1.0.2

1.0.2
- Raster-layer filter resolves the QGIS 3.34+ scoped enum first and
only falls back to the pre-3.34 unscoped member, so the Qt6
compatibility check is clean while QGIS 3.30-3.33 keeps working.
- Renamed an ambiguous single-letter local (E741) and replaced a bare
except (E722) in the models backend.
1.0.1
- Workbook XML in the Data Converter's fast .xlsx reader is now parsed
with defusedxml, which refuses the entity declarations behind "billion
laughs" expansion; without defusedxml installed the reader stands down
and pandas reads the file as before.
- Replaced every silent try/except/pass with contextlib.suppress so
the intent is explicit, and documented the two subprocess call sites
that launch pip.
1.0.0
- First QGIS plugin release: the full 7-step spectral-ML wizard as a
native, dockable Qt6 panel (QGIS 3.30+ and QGIS 4).
- Apply a trained model to a loaded QGIS raster layer and add the
prediction back as a new layer with a matching colour map.
- Data / Configuration / Preprocess / Model / Validate / Execution /
Apply steps with a live Model Development Flow diagram (exportable at
300 DPI).
- Sensor resampling for Sentinel-2, Landsat 5/7/8/9, EnMAP, EMIT,
PRISMA, DESIS, PlanetScope and VENuS, plus custom FWHM/SRF grids and
band binning.
- Single and batch model runs, Find Best Preprocessing search, Optuna
tuning, K-Fold / Leave-One-Out / Leave-P-Out cross-validation, and
compositional (CLR/ALR/ILR) modelling.
- Check Spectral Integrity (label-permutation and spectral-mixing
tests) and Spectral Harmonization tools, plus a Data Converter.
- Data loading runs off the UI thread behind a progress dialog and
picks the fastest available reader, roughly halving the time to open a
large spreadsheet.
- Data Distribution inspects one property at a time from a drop-down,
with a histogram, boxplot, normal Q-Q plot, cumulative distribution
and findings.
- Noisy-edge and water-band exclusion presets follow the selected
spectral domain (VSWIR, LWIR or both) and merge into the Omit field
instead of stacking duplicates.
- Automatic first-run installation of the required Python packages;
five selectable themes (Ocean, Slate, Forest, Light-Contrast, Dark).

yes

sharadgupta27

2026-08-11T09:48:39.278722+00:00

3.30.0

4.99.0

None

no

Version management

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