Random-Forest-Classifier Operator

Random-Forest-Classifier Operator Description

Overview

Name:Random-Forest-Classifier
Full name:org.esa.snap.classification.gpf.randomForest.RandomForestClassifierOp
Purpose:Random Forest based classifier
Version:null

Description

No description available.

Sources

Name Description
sourceProducts

Parameters

Name Data Type Default Description Constraints
treeCount int 10 The number of trees interval: (1,*]
numTrainSamples int 50000 The number of training samples interval: (1,*]
savedClassifierName String The saved classifier name
doLoadClassifier Boolean false Choose to save or load classifier
doClassValQuantization Boolean true Quantization for raster traiing
minClassValue Double 0.0 Quantization min class value for raster traiing
classValStepSize Double 5.0 Quantization step size for raster traiing
classLevels int 101 Quantization class levels for raster traiing
trainOnRaster Boolean false Train on raster or vector data
trainingBands String[] Raster bands to train on
trainingVectors String[] Vectors to train on
featureBands String[] Names of bands to be used as features
labelSource String 'VectorNodeName' or specific Attribute name
evaluateClassifier Boolean false Evaluate classifier and features
evaluateFeaturePowerSet Boolean false Evaluate the power set of features
minPowerSetSize Integer 2 Minimum size of the power set of features
maxPowerSetSize Integer 7 Maximum size of the power set of features