Packages

  • package root
    Definition Classes
    root
  • package org
    Definition Classes
    root
  • package apache
    Definition Classes
    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
  • package recommendation
    Definition Classes
    ml
  • object ALS extends DefaultParamsReadable[ALS] with Logging with Serializable

    An implementation of ALS that supports generic ID types, specialized for Int and Long.

    An implementation of ALS that supports generic ID types, specialized for Int and Long. This is exposed as a developer API for users who do need other ID types. But it is not recommended because it increases the shuffle size and memory requirement during training. For simplicity, users and items must have the same type. The number of distinct users/items should be smaller than 2 billion.

    Definition Classes
    recommendation
  • Rating

case class Rating[ID](user: ID, item: ID, rating: Float) extends Product with Serializable

Rating class for better code readability.

Source
ALS.scala
Linear Supertypes
Serializable, Serializable, Product, Equals, AnyRef, Any
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Inherited
  1. Rating
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. AnyRef
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Visibility
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Instance Constructors

  1. new Rating(user: ID, item: ID, rating: Float)

Value Members

  1. val item: ID
  2. val rating: Float
  3. val user: ID