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[Minor] [MLlib] Minor doc fix in GBT classification example #4672

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[Minor] [MLlib] Minor doc fix in GBT classification example #4672

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2 changes: 1 addition & 1 deletion docs/mllib-ensembles.md
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Expand Up @@ -458,7 +458,7 @@ val (trainingData, testData) = (splits(0), splits(1))
// The defaultParams for Classification use LogLoss by default.
val boostingStrategy = BoostingStrategy.defaultParams("Classification")
boostingStrategy.numIterations = 3 // Note: Use more iterations in practice.
boostingStrategy.treeStrategy.numClassesForClassification = 2
boostingStrategy.treeStrategy.numClasses = 2
boostingStrategy.treeStrategy.maxDepth = 5
// Empty categoricalFeaturesInfo indicates all features are continuous.
boostingStrategy.treeStrategy.categoricalFeaturesInfo = Map[Int, Int]()
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