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