MovieLensALS

An example app for ALS on MovieLens data (http://grouplens.org/datasets/movielens/). Run with

bin/run-example org.apache.spark.examples.mllib.MovieLensALS

A synthetic dataset in MovieLens format can be found at data/mllib/sample_movielens_data.txt. If you use it as a template to create your own app, please use spark-submit to submit your app.

Linear Supertypes

AnyRef, Any

Type Members

case class Params(input: String = null, kryo: Boolean = false, numIterations: Int = 20, lambda: Double = 1.0, rank: Int = 10, numUserBlocks: Int = 1, numProductBlocks: Int = 1, implicitPrefs: Boolean = false) extends AbstractParams[Params] with Product with Serializable

Value Members

final def !=(arg0: Any): Boolean

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final def ##(): Int

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final def ==(arg0: Any): Boolean

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final def asInstanceOf[T0]: T0

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def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
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Annotations
@throws( ... )
def computeRmse(model: MatrixFactorizationModel, data: RDD[Rating], implicitPrefs: Boolean): Double

Compute RMSE (Root Mean Squared Error).
final def eq(arg0: AnyRef): Boolean

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def equals(arg0: Any): Boolean

Definition Classes
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def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
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Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

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def hashCode(): Int

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final def isInstanceOf[T0]: Boolean

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def main(args: Array[String]): Unit
final def ne(arg0: AnyRef): Boolean

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final def notify(): Unit

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final def notifyAll(): Unit

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def run(params: Params): Unit
final def synchronized[T0](arg0: ⇒ T0): T0

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def toString(): String

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final def wait(): Unit

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Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

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Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
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@throws( ... )

Related Doc: package mllib

object MovieLensALS

Type Members

case class Params(input: String = null, kryo: Boolean = false, numIterations: Int = 20, lambda: Double = 1.0, rank: Int = 10, numUserBlocks: Int = 1, numProductBlocks: Int = 1, implicitPrefs: Boolean = false) extends AbstractParams[Params] with Product with Serializable

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

def computeRmse(model: MatrixFactorizationModel, data: RDD[Rating], implicitPrefs: Boolean): Double

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

def main(args: Array[String]): Unit

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def run(params: Params): Unit

final def synchronized[T0](arg0: ⇒ T0): T0

def toString(): String

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

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Ungrouped