MFLearner

Value Members

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

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

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

   

   Definition Classes

   AnyRef → Any

4. val LOG: Log

   

5. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

6. val batchNum: Int

   

7. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

8. val conf: Configuration

   

   Definition Classes

   MLLearner

9. val ctx: TaskContext

   

   : the context of running task

   : the context of running task

   Definition Classes

   MFLearner → MLLearner

10. val epochNum: Int

    

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

    

    Definition Classes

    AnyRef

12. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

13. val eta: Double

    

14. val executor: ThreadPoolExecutor

    

15. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

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    Annotations

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

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

    

    Definition Classes

    AnyRef → Any

17. def getLRReg: Double

    

    Calculate user vectors regularized loss value

    Calculate user vectors regularized loss value

    returns

    : user vectors regularized loss value

18. val globalMetrics: GlobalMetrics

    

    Definition Classes

    MLLearner

19. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

20. def init(): Unit

    

21. def initItemsMat(): Unit

    

    Initialize item matrix in #batchNum batches, initialize #rowOneBath rows in each batch

22. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

23. val lambda: Double

    

24. var mfModel: MFModel

    

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

    

    Definition Classes

    AnyRef

26. final def notify(): Unit

    

    Definition Classes

    AnyRef

27. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

28. def oneEpoch(epoch: Int): Unit

    

29. val pEvaluateTasks: Array[PEvaluateTask]

    

30. val pSgdTasks: Array[PSgdTask]

    

31. val pWriteUserTask: Array[PWriteUserTask]

    

32. val parallelism: Int

    

33. def parseLine(value: Text): UserVec

    

    Parse a text line into a UserVec instance

    Parse a text line into a UserVec instance

    value

    : a line of text

    returns

    : a UserVec instance

34. val rRow: Int

    

35. val rank: Int

    

36. def readUsers(): HashMap[Int, UserVec]

    

    Parse input text into trainning data

    Parse input text into trainning data

    Annotations

    @throws( ... ) @throws( ... ) @throws( ... )

37. val rowOneBatch: Int

    

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

    

    Definition Classes

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39. val taskId: Int

    

40. def toString(): String

    

    Definition Classes

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41. val totalTaskNum: Int

    

42. def train(trainData: DataBlock[LabeledData], validataSet: DataBlock[LabeledData]): MLModel

    

    Train a matrix factorizaiton model

    Train a matrix factorizaiton model

    returns

    : a learned model

    Definition Classes

    MFLearner → MLLearner

43. def trainOneEpoch(epoch: Int): Unit

    

    Train mf model in one epoch

44. def validateOneEpoch(epoch: Int): Double

    

    Evaluate loss values in one epoch

    Evaluate loss values in one epoch

    returns

    : loss values of local users and realated items

    Annotations

    @throws( ... )

45. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

48. def writeUserVectors: Unit