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org.apache.spark.examples.ml

DecisionTreeExample

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object DecisionTreeExample

An example runner for decision trees. Run with

./bin/run-example ml.DecisionTreeExample [options]

Note that Decision Trees can take a large amount of memory. If the run-example command above fails, try running via spark-submit and specifying the amount of memory as at least 1g. For local mode, run

./bin/spark-submit --class org.apache.spark.examples.ml.DecisionTreeExample --driver-memory 1g
  [examples JAR path] [options]

If you use it as a template to create your own app, please use spark-submit to submit your app.

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  1. case class Params(input: String = null, testInput: String = "", dataFormat: String = "libsvm", algo: String = "Classification", maxDepth: Int = 5, maxBins: Int = 32, minInstancesPerNode: Int = 1, minInfoGain: Double = 0.0, fracTest: Double = 0.2, cacheNodeIds: Boolean = false, checkpointDir: Option[String] = None, checkpointInterval: Int = 10) extends AbstractParams[Params] with Product with Serializable

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