org.apache.spark.mllib.recommendation

MatrixFactorizationModel

object MatrixFactorizationModel extends Loader[MatrixFactorizationModel] with Serializable

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

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

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  13. final def isInstanceOf[T0]: Boolean

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

    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

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

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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

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  20. final def wait(): Unit

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

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Inherited from Serializable

Inherited from Serializable

Inherited from Loader[MatrixFactorizationModel]

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