Class

com.tencent.angel.ml.factorizationmachines

FMTrainTask

Related Doc: package factorizationmachines

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class FMTrainTask extends TrainTask[LongWritable, Text]

This task train a Factorization Machines model

Linear Supertypes
TrainTask[LongWritable, Text], BaseTask[LongWritable, Text, LabeledData], BaseTaskInterface[LongWritable, Text, LabeledData], AnyRef, Any
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Inherited
  1. FMTrainTask
  2. TrainTask
  3. BaseTask
  4. BaseTaskInterface
  5. AnyRef
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Visibility
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Instance Constructors

  1. new FMTrainTask(ctx: TaskContext)

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    ctx

    ： task context

Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. val LOG: Log

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  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  7. val ctx: TaskContext

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    ： task context

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

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    Definition Classes
    AnyRef

  9. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  10. val feaNum: Int

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  11. val feaUsed: Array[Int]

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  12. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

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    Definition Classes
    AnyRef → Any

  14. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  15. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  16. var maxP: Double

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  17. var minP: Double

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

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    Definition Classes
    AnyRef

  19. final def notify(): Unit

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    Definition Classes
    AnyRef

  20. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  21. def parse(key: LongWritable, line: Text): LabeledData

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    Parse each sample into a labeled data, of which X is the feature weight vector, Y is label.

    Parse each sample into a labeled data, of which X is the feature weight vector, Y is label.

    Definition Classes
    FMTrainTask → BaseTask → BaseTaskInterface

  22. def preProcess(taskContext: TaskContext): Unit

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    Definition Classes
    FMTrainTask → BaseTask → BaseTaskInterface

  23. final def run(taskContext: TaskContext): Unit

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    Definition Classes
    TrainTask → BaseTask → BaseTaskInterface

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

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    Definition Classes
    AnyRef

  25. def toString(): String

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    Definition Classes
    AnyRef → Any

  26. def train(taskContext: TaskContext): Unit

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    Definition Classes
    FMTrainTask → TrainTask

  27. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from TrainTask[LongWritable, Text]

Inherited from BaseTask[LongWritable, Text, LabeledData]

Inherited from BaseTaskInterface[LongWritable, Text, LabeledData]

Inherited from AnyRef

Inherited from Any

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