Class DecisionTreeModel.SaveLoadV1_0$.SplitData

Object
org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0$.SplitData
All Implemented Interfaces:
Serializable, scala.Equals, scala.Product
Enclosing class:
DecisionTreeModel.SaveLoadV1_0$

public class DecisionTreeModel.SaveLoadV1_0$.SplitData extends Object implements scala.Product, Serializable
See Also:
  • Constructor Summary

    Constructors
    Constructor
    Description
    SplitData(int feature, double threshold, int featureType, scala.collection.immutable.Seq<Object> categories)
     
  • Method Summary

    Modifier and Type
    Method
    Description
    static org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0.SplitData
     
    static org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0.SplitData
     
    scala.collection.immutable.Seq<Object>
     
    int
     
    int
     
    double
     
     

    Methods inherited from class java.lang.Object

    equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    Methods inherited from interface scala.Equals

    canEqual, equals

    Methods inherited from interface scala.Product

    productArity, productElement, productElementName, productElementNames, productIterator, productPrefix
  • Constructor Details

    • SplitData

      public SplitData(int feature, double threshold, int featureType, scala.collection.immutable.Seq<Object> categories)
  • Method Details

    • apply

      public static org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0.SplitData apply(Split s)
    • apply

      public static org.apache.spark.mllib.tree.model.DecisionTreeModel.SaveLoadV1_0.SplitData apply(Row r)
    • feature

      public int feature()
    • threshold

      public double threshold()
    • featureType

      public int featureType()
    • categories

      public scala.collection.immutable.Seq<Object> categories()
    • toSplit

      public Split toSplit()