c

com.microsoft.azure.synapse.ml.vw

KahanSumAggregator

class KahanSumAggregator extends Aggregator[Float, KahanSum, Float] with Serializable with SynapseMLLogging

Implementation of Kahan summation (https://en.wikipedia.org/wiki/Kahan_summation_algorithm)

Kahan-Babushka-Neumaier sum aggregator make sure lots of small numbers are accumulated numerically stable.

Linear Supertypes
SynapseMLLogging, Logging, Aggregator[Float, KahanSum, Float], Serializable, Serializable, AnyRef, Any
Ordering
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  2. By Inheritance
Inherited
  1. KahanSumAggregator
  2. SynapseMLLogging
  3. Logging
  4. Aggregator
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new KahanSumAggregator()

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def bufferEncoder: Encoder[KahanSum]
    Definition Classes
    KahanSumAggregator → Aggregator
  6. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  7. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  8. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  9. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  10. def finish(acc: KahanSum): Float
    Definition Classes
    KahanSumAggregator → Aggregator
  11. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  12. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  13. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  14. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  15. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  16. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  17. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  18. def logBase(info: SynapseMLLogInfo): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  19. def logBase(methodName: String, columns: Option[Int]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  20. def logClass(): Unit
    Definition Classes
    SynapseMLLogging
  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 logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  26. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  27. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  28. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  29. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  30. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  31. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  32. def logTrain[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  33. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  34. def logVerb[T](verb: String, f: ⇒ T, columns: Int = -1): T
    Definition Classes
    SynapseMLLogging
  35. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  36. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  37. def merge(acc1: KahanSum, acc2: KahanSum): KahanSum
    Definition Classes
    KahanSumAggregator → Aggregator
  38. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  39. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  40. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  41. def outputEncoder: Encoder[Float]
    Definition Classes
    KahanSumAggregator → Aggregator
  42. def reduce(acc: KahanSum, x: Float): KahanSum
    Definition Classes
    KahanSumAggregator → Aggregator
  43. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  44. def toColumn: TypedColumn[Float, Float]
    Definition Classes
    Aggregator
  45. def toString(): String
    Definition Classes
    AnyRef → Any
  46. val uid: String
    Definition Classes
    KahanSumAggregator → SynapseMLLogging
  47. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  48. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  49. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  50. def zero: KahanSum
    Definition Classes
    KahanSumAggregator → Aggregator

Inherited from SynapseMLLogging

Inherited from Logging

Inherited from Aggregator[Float, KahanSum, Float]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped