DistributedLDAModel

Value Members

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

   

   Definition Classes

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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: 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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   protected[java.lang]

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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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    protected[java.lang]

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    @throws( classOf[java.lang.Throwable] )

12. def formatVersion: String

    

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    Definition Classes

    DistributedLDAModel → Saveable

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

    

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14. def hashCode(): Int

    

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15. def inference(docs: RDD[(VertexId, Vector)], totalIter: Int = 25, burnIn: Int = 22): RDD[(VertexId, Vector)]

    

    推断接口

    推断接口

    docs

    (dicId, Vector)对 docId 唯一 推荐设置缓存级别为: StorageLevel.MEMORY_AND_DISK

    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. def isTraceEnabled(): Boolean

    

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    Logging

18. def log: Logger

    

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    Logging

19. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

    

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    Logging

20. def logDebug(msg: ⇒ String): Unit

    

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    Logging

21. def logError(msg: ⇒ String, throwable: Throwable): Unit

    

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22. def logError(msg: ⇒ String): Unit

    

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    Logging

23. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

    

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24. def logInfo(msg: ⇒ String): Unit

    

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25. def logName: String

    

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    Logging

26. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

    

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27. def logTrace(msg: ⇒ String): Unit

    

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    Logging

28. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

    

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29. def logWarning(msg: ⇒ String): Unit

    

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

    

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31. final def notify(): Unit

    

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32. final def notifyAll(): Unit

    

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33. val numTerms: Long

    

34. val numTopics: Int

    

35. def save(sc: SparkContext, path: String, isTransposed: Boolean): Unit

    
    sc

    path

    isTransposed

    libsvm 格式存储 当 isTransposed 为 false 每一行的格式是: termId \grave{topicId}:counter \grave{topicId}:counter... 其中\grave{topicId} = topicId + 1 当 isTransposed 为 true 每一行的格式是: topicId \grave{termId}:counter \grave{termId}:counter... 其中\grave{termId}= termId + 1

36. def save(path: String): Unit

    

37. def save(sc: SparkContext, path: String): Unit

    

    Definition Classes

    DistributedLDAModel → Saveable

38. val storageLevel: StorageLevel

    

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

    

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40. def toLocalLDAModel(): LocalLDAModel

    

41. def toString(): String

    

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42. final def wait(): Unit

    

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

    

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

    

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