Object/Class

org.apache.spark.ml.odkl

DSVRGD

Related Docs: class DSVRGD | package odkl

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object DSVRGD extends Serializable with HasNetlibBlas

Linear Supertypes
HasNetlibBlas, Serializable, Serializable, AnyRef, Any
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Type Members

  1. case class DistributedSgdState(weights: DenseMatrix, accumulatedGradient: DenseMatrix, accumulatedWeights: DenseMatrix, accumulatedLoss: DenseVector, partsCount: Int) extends HasNetlibBlas with Product with Serializable

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    Helper used to store and mere epoch state

  2. case class LossRecord(label: String, iteration: Int, loss: Double) extends Product with Serializable

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    Helper for creating loss history data frame

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

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    Definition Classes
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  4. val LossHistory: Block

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    Summary block used for keeping loss history.

  5. val WeightDiffHistory: Block

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  6. val WeightNormHistory: Block

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  7. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  8. def axpy(a: Double, x: Vector, y: Array[Double]): Unit

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    Definition Classes
    HasNetlibBlas

  9. def axpy(a: Double, x: Array[Double], y: Array[Double]): Unit

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    Definition Classes
    HasNetlibBlas

  10. def blas: BLAS

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    Definition Classes
    HasNetlibBlas

  11. def clone(): AnyRef

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

  12. def copy(x: Array[Double], y: Array[Double]): Unit

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    Definition Classes
    HasNetlibBlas

  13. def dscal(a: Double, data: Array[Double]): Unit

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    Definition Classes
    HasNetlibBlas

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

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    Definition Classes
    AnyRef

  15. def equals(arg0: Any): Boolean

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    Definition Classes
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  16. def f2jBLAS: BLAS

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    Definition Classes
    HasNetlibBlas

  17. def finalize(): Unit

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

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

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  19. def hashCode(): Int

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  20. final def isInstanceOf[T0]: Boolean

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    Definition Classes
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  21. def linear(weights: Matrix, features: DenseMatrix, labels: DenseMatrix, updateTerm: DenseMatrix, marginCache: DenseMatrix, lossCache: DenseVector): Unit

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    Linear regression gradient and loss (sguared loss)

  22. def linearWeightsDistance(oldWeights: Matrix, newWeights: DenseMatrix, label: Int): Double

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    For linear regression weights are compared based on relative euclidean distance.

  23. def logistic(weights: Matrix, features: DenseMatrix, labels: DenseMatrix, updateTerm: DenseMatrix, marginCache: DenseMatrix, lossCache: DenseVector): Unit

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    Logistic regression gradiend and loss (logistic loss)

  24. def logisticInitialization(data: DataFrame, numLabels: Int, numFeatures: Int): Matrix

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  25. def logisticWeightsDistance(oldWeights: Matrix, newWeights: DenseMatrix, label: Int): Double

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    For logistic regression weights are compared based on cosine distance

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

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    Definition Classes
    AnyRef

  27. final def notify(): Unit

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    Definition Classes
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  28. final def notifyAll(): Unit

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

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  30. def toString(): String

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  31. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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    Definition Classes
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    @throws( ... )

Inherited from HasNetlibBlas

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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