LDALearner

Value Members

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

   

   Definition Classes

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2. final def ##(): Int

   

   Definition Classes

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

   

   Definition Classes

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4. val LOG: Log

   

5. object SampleOps extends Enumeration

   

6. val alpha: Float

   

7. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

8. val beta: Float

   

9. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

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   Annotations

   @throws( ... )

10. def computeWordLLH: Double

    

11. def computeWordLLHSummary: Double

    

12. val conf: Configuration

    

    Definition Classes

    MLLearner

13. def createDestAndTmpFile(matrix: String, dir: String): (Path, Path)

    

14. val ctx: TaskContext

    

    Definition Classes

    MLLearner

15. def docLLH(n_docs: Int): Double

    

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

    

    Definition Classes

    AnyRef

17. def equals(arg0: Any): Boolean

    

    Definition Classes

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18. val executor: ExecutorService

    

19. def fetchNk(): Unit

    

20. def finalize(): Unit

    

    Attributes

    protected[java.lang]

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

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

    

    Definition Classes

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22. val globalMetrics: GlobalMetrics

    

    Definition Classes

    MLLearner

23. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

24. def inference(n_iters: Int): Unit

    

25. def initForInference(): Unit

    

26. def initialize(): Unit

    

27. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

28. val lgammaAlpha: Double

    

29. val lgammaAlphaSum: Double

    

30. val lgammaBeta: Double

    

31. def likelihood: Double

    

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

    

    Definition Classes

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33. val nk: Array[Long]

    

34. final def notify(): Unit

    

    Definition Classes

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35. final def notifyAll(): Unit

    

    Definition Classes

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36. val pkeys: List[PartitionKey]

    

37. val queue: LinkedBlockingQueue[Sampler]

    

38. val reqRows: HashMap[Int, List[Integer]]

    

39. def reset(epoch: Int): Unit

    

40. val results: LinkedBlockingQueue[Future[VoidResult]]

    

41. def sample(): Unit

    

42. def sampleForInference(): Unit

    

43. def saveDocTopic(dir: String, data: CSRTokens, model: LDAModel): Unit

    

44. def saveDocTopicDistribution(dir: String, data: CSRTokens, model: LDAModel): Unit

    

45. def saveWordTopic(model: LDAModel): Unit

    

46. def saveWordTopicDistribution(model: LDAModel): Unit

    

47. def saveWordTopicDistribution(model: LDAModel, start: Int, end: Int, num: Int): Unit

    

48. def scheduleInit(): Unit

    

49. def scheduleReset(): Unit

    

50. def scheduleWithFetch(pkeys: List[PartitionKey], update: Boolean, Op: SampleOps.Value): Unit

    

51. def scheduleWithoutFetch(pkeys: List[PartitionKey], update: Boolean, Op: SampleOps.Value): Unit

    

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

    

    Definition Classes

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53. def toString(): String

    

    Definition Classes

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54. def train(n_iters: Int): Unit

    

55. def train(train: DataBlock[LabeledData], vali: DataBlock[LabeledData]): MLModel

    

    Train a ML Model

    Train a ML Model

    train

    : input train data storage

    vali

    : validate data storage

    returns

    : a learned model

    Definition Classes

    LDALearner → MLLearner

56. final def wait(): Unit

    

    Definition Classes

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    @throws( ... )

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

    

    Definition Classes

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    @throws( ... )

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

    

    Definition Classes

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    @throws( ... )