Object/Class

org.apache.spark.mllib.clustering

LocalLDAModel

Related Docs: class LocalLDAModel | package clustering

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object LocalLDAModel extends Loader[LocalLDAModel] with Serializable

Local (non-distributed) model fitted by LDA.

This model stores the inferred topics only; it does not store info about the training dataset.

Annotations
@Since( "1.5.0" )
Source
LDAModel.scala
Linear Supertypes
Serializable, Serializable, Loader[LocalLDAModel], AnyRef, Any
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  1. LocalLDAModel
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Value Members

  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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    protected[java.lang]
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  6. final def eq(arg0: AnyRef): Boolean

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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): LocalLDAModel

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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
    LocalLDAModel → Loader
    Annotations
    @Since( "1.5.0" )

  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[LocalLDAModel]

Inherited from AnyRef

Inherited from Any

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