Class

org.apache.spark.mllib.clustering

EMLDAOptimizer

Related Doc: package clustering

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final class EMLDAOptimizer extends LDAOptimizer

:: DeveloperApi ::

Optimizer for EM algorithm which stores data + parameter graph, plus algorithm parameters.

Currently, the underlying implementation uses Expectation-Maximization (EM), implemented according to the Asuncion et al. (2009) paper referenced below.

References:

Annotations
@Since( "1.4.0" ) @DeveloperApi()
Source
LDAOptimizer.scala
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LDAOptimizer, AnyRef, Any
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Instance Constructors

  1. new EMLDAOptimizer()

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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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  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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    @throws( classOf[java.lang.Throwable] )
  9. final def getClass(): Class[_]

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  10. def getKeepLastCheckpoint: Boolean

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    If using checkpointing, this indicates whether to keep the last checkpoint (vs clean up).

    If using checkpointing, this indicates whether to keep the last checkpoint (vs clean up).

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    @Since( "2.0.0" )
  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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  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. def setKeepLastCheckpoint(keepLastCheckpoint: Boolean): EMLDAOptimizer.this.type

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    If using checkpointing, this indicates whether to keep the last checkpoint (vs clean up).

    If using checkpointing, this indicates whether to keep the last checkpoint (vs clean up). Deleting the checkpoint can cause failures if a data partition is lost, so set this bit with care.

    Default: true

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    @Since( "2.0.0" )
    Note

    Checkpoints will be cleaned up via reference counting, regardless.

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

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  18. def toString(): String

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  19. final def wait(): Unit

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

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

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Inherited from LDAOptimizer

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