Object/Class

com.github.cloudml.zen.ml.neuralNetwork

MLP

Related Docs: class MLP | package neuralNetwork

Permalink

object MLP extends Logging with Serializable

Annotations
@Experimental()
Linear Supertypes
Serializable, Serializable, Logging, AnyRef, Any
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. MLP
  2. Serializable
  3. Serializable
  4. Logging
  5. AnyRef
  6. Any
  1. Hide All
  2. Show all
Visibility
  1. Public
  2. All

Value Members

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

    Permalink
    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

    Permalink
    Definition Classes
    AnyRef → Any

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

    Permalink
    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any

  5. def clone(): AnyRef

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

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

    Permalink
    Definition Classes
    AnyRef

  7. def equals(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any

  8. def error(data: RDD[(Vector, Vector)], nn: MLP, batchSize: Int): Double

    Permalink

  9. def finalize(): Unit

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

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

    Permalink
    Definition Classes
    AnyRef → Any

  11. def hashCode(): Int

    Permalink
    Definition Classes
    AnyRef → Any

  12. final def isInstanceOf[T0]: Boolean

    Permalink
    Definition Classes
    Any

  13. def isTraceEnabled(): Boolean

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

  14. def log: Logger

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

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

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

  16. def logDebug(msg: ⇒ String): Unit

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

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

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

  18. def logError(msg: ⇒ String): Unit

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

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

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

  20. def logInfo(msg: ⇒ String): Unit

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

  21. def logName: String

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

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

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

  23. def logTrace(msg: ⇒ String): Unit

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

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

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

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

    Permalink
    Attributes
    protected
    Definition Classes
    Logging

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

    Permalink
    Definition Classes
    AnyRef

  27. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef

  28. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef

  29. def runLBFGS(data: RDD[(Vector, Vector)], mlp: MLP, batchSize: Int, maxNumIterations: Int, convergenceTol: Double, weightCost: Double): MLP

    Permalink

  30. def runLBFGS(trainingRDD: RDD[(Vector, Vector)], topology: Array[Int], batchSize: Int, maxNumIterations: Int, convergenceTol: Double, weightCost: Double): MLP

    Permalink

  31. def runSGD(data: RDD[(Vector, Vector)], mlp: MLP, maxNumIterations: Int, fraction: Double, learningRate: Double, weightCost: Double, rho: Double, epsilon: Double): MLP

    Permalink

  32. def runSGD(data: RDD[(Vector, Vector)], nn: MLP, maxNumIterations: Int, fraction: Double, learningRate: Double, weightCost: Double): MLP

    Permalink

  33. def runSGD(trainingRDD: RDD[(Vector, Vector)], topology: Array[Int], maxNumIterations: Int, fraction: Double, learningRate: Double, weightCost: Double): MLP

    Permalink

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

    Permalink
    Definition Classes
    AnyRef

  35. def toString(): String

    Permalink
    Definition Classes
    AnyRef → Any

  36. def train(data: RDD[(Vector, Vector)], numIteration: Int, nn: MLP, fraction: Double, learningRate: Double, weightCost: Double): MLP

    Permalink

  37. def train(data: RDD[(Vector, Vector)], numIteration: Int, topology: Array[Int], fraction: Double, learningRate: Double, weightCost: Double): MLP

    Permalink

  38. final def wait(): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Logging

Inherited from AnyRef

Inherited from Any

Ungrouped