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    root
  • package org
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    root
  • package apache
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    org
  • package spark

    Core Spark functionality.

    Core Spark functionality. org.apache.spark.SparkContext serves as the main entry point to Spark, while org.apache.spark.rdd.RDD is the data type representing a distributed collection, and provides most parallel operations.

    In addition, org.apache.spark.rdd.PairRDDFunctions contains operations available only on RDDs of key-value pairs, such as groupByKey and join; org.apache.spark.rdd.DoubleRDDFunctions contains operations available only on RDDs of Doubles; and org.apache.spark.rdd.SequenceFileRDDFunctions contains operations available on RDDs that can be saved as SequenceFiles. These operations are automatically available on any RDD of the right type (e.g. RDD[(Int, Int)] through implicit conversions.

    Java programmers should reference the org.apache.spark.api.java package for Spark programming APIs in Java.

    Classes and methods marked with Experimental are user-facing features which have not been officially adopted by the Spark project. These are subject to change or removal in minor releases.

    Classes and methods marked with Developer API are intended for advanced users want to extend Spark through lower level interfaces. These are subject to changes or removal in minor releases.

    Definition Classes
    apache
  • package ml

    DataFrame-based machine learning APIs to let users quickly assemble and configure practical machine learning pipelines.

    DataFrame-based machine learning APIs to let users quickly assemble and configure practical machine learning pipelines.

    Definition Classes
    spark
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    Definition Classes
    ml
  • CategoricalSplit
  • ContinuousSplit
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  • Split
c

org.apache.spark.ml.tree

CategoricalSplit

class CategoricalSplit extends Split

Split which tests a categorical feature.

Source
Split.scala
Linear Supertypes
Split, Serializable, Serializable, AnyRef, Any
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Inherited
  1. CategoricalSplit
  2. Split
  3. Serializable
  4. Serializable
  5. AnyRef
  6. Any
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Visibility
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Value Members

  1. def equals(o: Any): Boolean
    Definition Classes
    CategoricalSplit → AnyRef → Any
  2. val featureIndex: Int

    Index of feature which this split tests

    Index of feature which this split tests

    Definition Classes
    CategoricalSplit → Split
  3. def hashCode(): Int
    Definition Classes
    CategoricalSplit → AnyRef → Any
  4. def leftCategories: Array[Double]

    Get sorted categories which split to the left

  5. val numCategories: Int
    Annotations
    @Since( "2.0.0" )
  6. def rightCategories: Array[Double]

    Get sorted categories which split to the right