Class

com.github.cloudml.zen.ml.clustering

LocalLDAModel

Related Doc: package clustering

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class LocalLDAModel extends Serializable

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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. val alpha: Float

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  5. val alphaAS: Float

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  6. final def asInstanceOf[T0]: T0

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  7. val beta: Float

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  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[_]

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  13. def globalTopicCounter: DenseVector[Count]

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  14. def hashCode(): Int

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  15. def inference(doc: SparseVector[Int], totalIter: Int = 10, burnIn: Int = 5): Vector[Float]

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    inference interface

    inference interface

    totalIter

    overall iterations

  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. lazy val numTerms: Int

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  21. lazy val numTopics: Int

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  22. def save(path: String): Unit

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  23. def setSeed(seed: Long): Unit

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

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  25. def toString(): String

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  26. def topicTermCounter: Array[SparseVector[Count]]

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  27. final def wait(): Unit

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

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

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