com.github.cloudml.zen.ml.clustering

DistributedLDAModel

class DistributedLDAModel extends Serializable with Saveable with Logging

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Logging, Saveable, Serializable, AnyRef, Any
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  1. DistributedLDAModel
  2. Logging
  3. Saveable
  4. Serializable
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  1. final def !=(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any
  3. final def ##(): Int

    Definition Classes
    AnyRef → Any
  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  6. val alpha: Float

  7. val alphaAS: Float

  8. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  9. val beta: Float

  10. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  11. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  12. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  13. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  14. def formatVersion: String

    Attributes
    protected
    Definition Classes
    DistributedLDAModel → Saveable
  15. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  16. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  17. def inference(docs: RDD[(VertexId, SparseVector[Int])], totalIter: Int = 25, burnIn: Int = 22): RDD[(VertexId, SparseVector[Float])]

    inference interface

    inference interface

    docs

    tuple pair: (dicId, Vector), in which 'docId' is unique recommended storage level: StorageLevel.MEMORY_AND_DISK

    totalIter

    overall iterations

    burnIn

    previous burnIn iters results will discard

  18. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  19. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging
  20. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging
  21. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  22. def logDebug(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  23. def logError(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  24. def logError(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  25. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  26. def logInfo(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  27. def logName: String

    Attributes
    protected
    Definition Classes
    Logging
  28. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  29. def logTrace(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  30. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  31. def logWarning(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  32. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  33. final def notify(): Unit

    Definition Classes
    AnyRef
  34. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  35. val numTerms: Int

  36. val numTopics: Int

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

    sc
    path
    isTransposed

    libsvm when isTransposed is false, the format of each line: termId \grave{topicId}:counter \grave{topicId}:counter..., in which \grave{topicId} = topicId + 1 otherwise: topicId \grave{termId}:counter \grave{termId}:counter..., in which \grave{termId}= termId + 1

    saveSolid

    save as whether one HDFS file or an directory

  38. def save(path: String): Unit

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

    Definition Classes
    DistributedLDAModel → Saveable
  40. val storageLevel: StorageLevel

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

    Definition Classes
    AnyRef
  42. def toLocalLDAModel: LocalLDAModel

  43. def toString(): String

    Definition Classes
    AnyRef → Any
  44. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  45. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  46. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Logging

Inherited from Saveable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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