RandomForestRegression
RandomForestRegression
Machine Learning
machinelearning
Performs a random forest regression analysis using training site data and predictor rasters
https://www.whiteboxgeo.com/manual/wbt_book/available_tools/machine_learning.html#RandomForestRegression
QgsProcessingParameterMultipleLayers|inputs|Input Predictor Rasters|QgsProcessing.TypeRaster|None|False
QgsProcessingParameterFeatureSource|training|Input Training Points|QgsProcessing.TypeVectorPoint|None|False
QgsProcessingParameterField|field|Response Variable Field Name|None|training|QgsProcessingParameterField.Any|False|QgsProcessingParameterField.Any
QgsProcessingParameterNumber|n_trees|Number of Trees in Forest|QgsProcessingParameterNumber.Integer|100|True|None|None
QgsProcessingParameterNumber|min_samples_leaf|Min Number of Samples to be a Leaf|QgsProcessingParameterNumber.Integer|1|True|None|None
QgsProcessingParameterNumber|min_samples_split|Min Number of Samples Needed to Split Node|QgsProcessingParameterNumber.Integer|2|True|None|None
QgsProcessingParameterNumber|test_proportion|Test Proportion|QgsProcessingParameterNumber.Double|0.2|True|None|None
QgsProcessingParameterRasterDestination|output|Output Raster File|None|True
