Dataset creation
- Create classification dataset (from categorized raster layer and feature raster)
- Create classification dataset (from categorized spectral library)
- Create classification dataset (from categorized vector layer and feature raster)
- Create classification dataset (from categorized vector layer with attribute table)
- Create classification dataset (from JSON file)
- Create classification dataset (from Python code)
- Create classification dataset (from table with categories and feature fields)
- Create classification dataset (from text files)
- Create regression dataset (from continuous-valued raster layer and feature raster)
- Create regression dataset (from continuous-valued spectral library)
- Create regression dataset (from continuous-valued vector layer and feature raster)
- Create regression dataset (from continuous-valued vector layer with attribute table)
- Create regression dataset (from JSON file)
- Create regression dataset (from Python code)
- Create regression dataset (from table with target and feature fields)
- Create regression dataset (from text files)
- Create regression dataset (SynthMix from classification dataset)
- Create unsupervised dataset (from feature raster)
- Create unsupervised dataset (from JSON file)
- Create unsupervised dataset (from Python code)
- Create unsupervised dataset (from spectral library)
- Create unsupervised dataset (from text file)
- Create unsupervised dataset (from vector layer with attribute table)
- Export classification/regression dataset (to text files)
- Merge classification datasets
- Random samples from classification dataset
- Random samples from regression dataset
- Select features from dataset