ee.Classifier.smileRandomForest

Creates an empty Random Forest classifier.

Usage	Returns
ee.Classifier.smileRandomForest(numberOfTrees, variablesPerSplit, minLeafPopulation, bagFraction, maxNodes, seed)	Classifier

Argument	Type	Details
numberOfTrees	Integer	The number of decision trees to create.
variablesPerSplit	Integer, default: null	The number of variables per split. If unspecified, uses the square root of the number of variables.
minLeafPopulation	Integer, default: 1	Only create nodes whose training set contains at least this many points.
bagFraction	Float, default: 0.5	The fraction of input to bag per tree.
maxNodes	Integer, default: null	The maximum number of leaf nodes in each tree. If unspecified, defaults to no limit.
seed	Integer, default: 0	The randomization seed.