Package org.apache.spark.ml.tree
Class DecisionTreeModelReadWrite.SplitData
Object
org.apache.spark.ml.tree.DecisionTreeModelReadWrite.SplitData
- All Implemented Interfaces:
Serializable,scala.Equals,scala.Product,scala.Serializable
- Enclosing class:
- DecisionTreeModelReadWrite
public static class DecisionTreeModelReadWrite.SplitData
extends Object
implements scala.Product, scala.Serializable
Info for a
Split
param: featureIndex Index of feature split on param: leftCategoriesOrThreshold For categorical feature, set of leftCategories. For continuous feature, threshold. param: numCategories For categorical feature, number of categories. For continuous feature, -1.
- See Also:
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Constructor Summary
ConstructorsConstructorDescriptionSplitData(int featureIndex, double[] leftCategoriesOrThreshold, int numCategories) -
Method Summary
Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitMethods inherited from interface scala.Equals
canEqual, equalsMethods inherited from interface scala.Product
productArity, productElement, productIterator, productPrefix
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Constructor Details
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SplitData
public SplitData(int featureIndex, double[] leftCategoriesOrThreshold, int numCategories)
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Method Details
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featureIndex
public int featureIndex() -
leftCategoriesOrThreshold
public double[] leftCategoriesOrThreshold() -
numCategories
public int numCategories() -
getSplit
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