我们来看看trainClassifier都需要什么参数:
scala> DecisionTree.trainClassifier
:42: error: ambiguous reference...),0.6335772755123819)
((entropy,1,300),0.48759922342395684)
((entropy,1,10),0.48759922342395684)
*/
scala...我们看一下所需要的参数:
scala> RandomForest.trainClassifier
:42: error: ambiguous reference to overloaded...val forest = RandomForest.trainClassifier(
trainData, 7, Map[Int,Int](), 20, "auto", "entropy", 30, 300...)
val predictionsAndLabels = data.map(example =>
(forest.predict(example.features), example.label)
val