org.apache.spark.ml.odkl.Scaler

Unscaler

class Unscaler[M <: ModelWithSummary[M]] extends Model[Unscaler[M]] with ModelTransformer[M, Unscaler[M]] with HasFeaturesCol with ScalerParams

Applies unscaling to the linear model weights.

Linear Supertypes
ScalerParams, HasFeaturesCol, ModelTransformer[M, Unscaler[M]], Model[Unscaler[M]], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. Unscaler
  2. ScalerParams
  3. HasFeaturesCol
  4. ModelTransformer
  5. Model
  6. Transformer
  7. PipelineStage
  8. Logging
  9. Params
  10. Serializable
  11. Serializable
  12. Identifiable
  13. AnyRef
  14. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new Unscaler(scaler: StandardScalerModel, modelTransformer: (M, StandardScalerModel) ⇒ M, uid: String = ...)

Value Members

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

    Definition Classes
    AnyRef
  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any
  3. final def ##(): Int

    Definition Classes
    AnyRef → Any
  4. final def $[T](param: Param[T]): T

    Attributes
    protected
    Definition Classes
    Params
  5. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  6. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  8. final def clear(param: Param[_]): Unscaler.this.type

    Definition Classes
    Params
  9. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  10. def copy(extra: ParamMap): Unscaler[M]

    Definition Classes
    ModelTransformer → Model → Transformer → PipelineStage → Params
  11. def copyValues[T <: Params](to: T, extra: ParamMap): T

    Attributes
    protected
    Definition Classes
    Params
  12. final def defaultCopy[T <: Params](extra: ParamMap): T

    Attributes
    protected
    Definition Classes
    Params
  13. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  14. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  15. def explainParam(param: Param[_]): String

    Definition Classes
    Params
  16. def explainParams(): String

    Definition Classes
    Params
  17. final def extractParamMap(): ParamMap

    Definition Classes
    Params
  18. final def extractParamMap(extra: ParamMap): ParamMap

    Definition Classes
    Params
  19. final val featuresCol: Param[String]

    Definition Classes
    HasFeaturesCol
  20. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  21. final def get[T](param: Param[T]): Option[T]

    Definition Classes
    Params
  22. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  23. final def getDefault[T](param: Param[T]): Option[T]

    Definition Classes
    Params
  24. final def getFeaturesCol: String

    Definition Classes
    HasFeaturesCol
  25. final def getOrDefault[T](param: Param[T]): T

    Definition Classes
    Params
  26. def getParam(paramName: String): Param[Any]

    Definition Classes
    Params
  27. def getWithMean: Boolean

    Definition Classes
    ScalerParams
  28. def getWithStd: Boolean

    Definition Classes
    ScalerParams
  29. final def hasDefault[T](param: Param[T]): Boolean

    Definition Classes
    Params
  30. def hasParam(paramName: String): Boolean

    Definition Classes
    Params
  31. def hasParent: Boolean

    Definition Classes
    Model
  32. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  33. final def isDefined(param: Param[_]): Boolean

    Definition Classes
    Params
  34. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  35. final def isSet(param: Param[_]): Boolean

    Definition Classes
    Params
  36. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging
  37. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging
  38. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  39. def logDebug(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  40. def logError(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  41. def logError(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  42. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  43. def logInfo(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  44. def logName: String

    Attributes
    protected
    Definition Classes
    Logging
  45. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  46. def logTrace(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  47. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging
  48. def logWarning(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging
  49. val modelTransformer: (M, StandardScalerModel) ⇒ M

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

    Definition Classes
    AnyRef
  51. final def notify(): Unit

    Definition Classes
    AnyRef
  52. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  53. lazy val params: Array[Param[_]]

    Definition Classes
    Params
  54. var parent: Estimator[Unscaler[M]]

    Definition Classes
    Model
  55. def release(originalData: DataFrame, transformedData: DataFrame): Unit

    Definition Classes
    ModelTransformer
  56. val scaler: StandardScalerModel

  57. final def set(paramPair: ParamPair[_]): Unscaler.this.type

    Attributes
    protected
    Definition Classes
    Params
  58. final def set(param: String, value: Any): Unscaler.this.type

    Attributes
    protected
    Definition Classes
    Params
  59. final def set[T](param: Param[T], value: T): Unscaler.this.type

    Definition Classes
    Params
  60. final def setDefault(paramPairs: ParamPair[_]*): Unscaler.this.type

    Attributes
    protected
    Definition Classes
    Params
  61. final def setDefault[T](param: Param[T], value: T): Unscaler.this.type

    Attributes
    protected
    Definition Classes
    Params
  62. def setParent(parent: Estimator[Unscaler[M]]): Unscaler[M]

    Definition Classes
    Model
  63. def setWithMean(value: Boolean): Unscaler.this.type

    Definition Classes
    ScalerParams
  64. def setWithStd(value: Boolean): Unscaler.this.type

    Definition Classes
    ScalerParams
  65. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  66. def toString(): String

    Definition Classes
    Identifiable → AnyRef → Any
  67. def transform(dataset: DataFrame): DataFrame

    Definition Classes
    Unscaler → Transformer
  68. def transform(dataset: DataFrame, paramMap: ParamMap): DataFrame

    Definition Classes
    Transformer
  69. def transform(dataset: DataFrame, firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

    Definition Classes
    Transformer
    Annotations
    @varargs()
  70. def transformModel(model: M, originalData: DataFrame): M

    Definition Classes
    UnscalerModelTransformer
  71. def transformSchema(schema: StructType): StructType

    Definition Classes
    Unscaler → PipelineStage
    Annotations
    @DeveloperApi()
  72. def transformSchema(schema: StructType, logging: Boolean): StructType

    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  73. val uid: String

    Definition Classes
    Unscaler → Identifiable
  74. def validateParams(): Unit

    Definition Classes
    Params
  75. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  76. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  77. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  78. val withMean: BooleanParam

    Whether to center the data with mean before scaling.

    Whether to center the data with mean before scaling. It will build a dense output, so this does not work on sparse input and will raise an exception. Default: false

    Definition Classes
    ScalerParams
  79. val withStd: BooleanParam

    Whether to scale the data to unit standard deviation.

    Whether to scale the data to unit standard deviation. Default: true

    Definition Classes
    ScalerParams

Inherited from ScalerParams

Inherited from HasFeaturesCol

Inherited from ModelTransformer[M, Unscaler[M]]

Inherited from Model[Unscaler[M]]

Inherited from Transformer

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

getParam

param

Ungrouped