Scaler

Type Members

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.

Value Members

final def !=(arg0: Any): Boolean

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final def ##(): Int

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final def ==(arg0: Any): Boolean

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final def asInstanceOf[T0]: T0

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def clone(): AnyRef

Attributes
protected[java.lang]
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@throws( ... )
final def eq(arg0: AnyRef): Boolean

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def equals(arg0: Any): Boolean

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def finalize(): Unit

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protected[java.lang]
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@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

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def hashCode(): Int

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final def isInstanceOf[T0]: Boolean

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final def ne(arg0: AnyRef): Boolean

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final def notify(): Unit

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final def notifyAll(): Unit

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def scale[M <: LinearModel[M]](estimator: SummarizableEstimator[M], scaler: ScalerEstimator[M] = new LinearScaleEstimator[M]())(implicit m: Manifest[M]): UnwrappedStage[M, Unscaler[M]]

Given a linear model estimator first scale the data based on mean/variance, then train the model and unscale its weights.
Given a linear model estimator first scale the data based on mean/variance, then train the model and unscale its weights.
estimator
Nested linear model estimator.
scaler
Pre configured scaler (by default with mean and sd).
returns
Linear model as produced by the nested estimator with unscaled weights.
def scaleComposite[M <: LinearModel[M], C <: CombinedModel[M, C]](estimator: SummarizableEstimator[C], scaler: ScalerEstimator[C] = new CompositScaleEstimator[M, C]()): UnwrappedStage[C, Unscaler[C]]

Extention for scaling composite models assuming their are composites of linear models.
Extention for scaling composite models assuming their are composites of linear models.
estimator
Nested composite estimator.
scaler
Scaler with te settings.
returns
Composite model as produced by the nested estimator with all parts unscaled.
final def synchronized[T0](arg0: ⇒ T0): T0

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def toString(): String

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final def wait(): Unit

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

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final def wait(arg0: Long): Unit

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@throws( ... )

Related Doc: package odkl

object Scaler extends Serializable

Type Members

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

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def scale[M <: LinearModel[M]](estimator: SummarizableEstimator[M], scaler: ScalerEstimator[M] = new LinearScaleEstimator[M]())(implicit m: Manifest[M]): UnwrappedStage[M, Unscaler[M]]

def scaleComposite[M <: LinearModel[M], C <: CombinedModel[M, C]](estimator: SummarizableEstimator[C], scaler: ScalerEstimator[C] = new CompositScaleEstimator[M, C]()): UnwrappedStage[C, Unscaler[C]]

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

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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