com.github.cloudml.zen.ml.clustering

LocalLDAModel

Related Doc: package clustering

class LocalLDAModel extends Serializable

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Instance Constructors

  1. new LocalLDAModel(topicCounts: DenseVector, topicTermCounts: Array[SparseVector], alpha: Double, beta: Double)

Value Members

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

    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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

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  4. val alpha: Double

  5. val alphaAS: Double

  6. final def asInstanceOf[T0]: T0

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  7. val beta: Double

  8. def clone(): AnyRef

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

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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

    Definition Classes
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  13. def globalTopicCounter: Vector

  14. def hashCode(): Int

    Definition Classes
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  15. def inference(doc: Vector, totalIter: Int = 10, burnIn: Int = 5): Vector

    推断接口

    推断接口

    doc
    totalIter

    总迭代次数

    burnIn

    前burnIn次迭代的结果会被丢弃.

    returns

    返回totalIter次迭代中的后(totalIter - burnIn)次迭代的结果

  16. final def isInstanceOf[T0]: Boolean

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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  20. def setSeed(seed: Long): Unit

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

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  22. def toString(): String

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  23. def topicTermCounter: Array[Vector]

  24. final def wait(): Unit

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    @throws( ... )
  25. final def wait(arg0: Long, arg1: Int): Unit

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

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