Object/Class

org.apache.spark.mllib.recommendation

MatrixFactorizationModel

Related Docs: class MatrixFactorizationModel | package recommendation

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object MatrixFactorizationModel extends Loader[MatrixFactorizationModel] with Serializable

Annotations
@Since( "1.3.0" )
Source
MatrixFactorizationModel.scala
Linear Supertypes
Serializable, Serializable, Loader[MatrixFactorizationModel], AnyRef, Any
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  1. MatrixFactorizationModel
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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  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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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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  12. def load(sc: SparkContext, path: String): MatrixFactorizationModel

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    Load a model from the given path.

    Load a model from the given path.

    The model should have been saved by Saveable.save.

    sc

    Spark context used for loading model files.

    path

    Path specifying the directory to which the model was saved.

    returns

    Model instance

    Definition Classes
    MatrixFactorizationModel → Loader
    Annotations
    @Since( "1.3.0" )

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

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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

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  17. def toString(): String

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  18. final def wait(): Unit

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

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

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Inherited from Serializable

Inherited from Serializable

Inherited from Loader[MatrixFactorizationModel]

Inherited from AnyRef

Inherited from Any

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