本文主要是介绍Google Earth Engine（GEE）——随机森林函数的监督分类使用案例分析，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
函数：
ee.Classifier.smileRandomForest(numberOfTrees, variablesPerSplit, minLeafPopulation, bagFraction, maxNodes, seed)
Creates an empty Random Forest classifier.
Arguments:
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.
Returns: Classif
这篇关于Google Earth Engine（GEE）——随机森林函数的监督分类使用案例分析的文章就介绍到这儿，希望我们推荐的文章对编程师们有所帮助！
