Class

org.apache.spark.mllib.recommendation

Rating

Related Doc: package recommendation

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case class Rating(user: Int, product: Int, rating: Double) extends Product with Serializable

A more compact class to represent a rating than Tuple3[Int, Int, Double].

Annotations
@Since( "0.8.0" )
Source
ALS.scala
Linear Supertypes
Serializable, Serializable, Product, Equals, AnyRef, Any
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  1. Rating
  2. Serializable
  3. Serializable
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Instance Constructors

  1. new Rating(user: Int, product: Int, rating: Double)

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    @Since( "0.8.0" )

Value Members

  1. final def !=(arg0: Any): Boolean

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    AnyRef → Any

  2. final def ##(): Int

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    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    protected[java.lang]
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    AnyRef
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    @throws( ... )

  6. final def eq(arg0: AnyRef): Boolean

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    AnyRef

  7. def finalize(): Unit

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    protected[java.lang]
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    AnyRef
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    @throws( classOf[java.lang.Throwable] )

  8. final def getClass(): Class[_]

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  9. final def isInstanceOf[T0]: Boolean

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  10. final def ne(arg0: AnyRef): Boolean

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    AnyRef

  11. final def notify(): Unit

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    AnyRef

  12. final def notifyAll(): Unit

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    AnyRef

  13. val product: Int

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    Annotations
    @Since( "0.8.0" )

  14. val rating: Double

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    Annotations
    @Since( "0.8.0" )

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

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    Definition Classes
    AnyRef

  16. val user: Int

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    @Since( "0.8.0" )

  17. final def wait(): Unit

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    @throws( ... )

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

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  19. final def wait(arg0: Long): Unit

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Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

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