Interceptor

Type Members

class Uninterceptor[M <: LinearModel[M]] extends PredefinedDataTransformer[M, Uninterceptor[M]]

Model transformer which moves weight trained for an intercept into the intercept parameter of the model (so far supported only for linear models).
class UninterceptorComposite[M <: LinearModel[M], C <: CombinedModel[M, C]] extends PredefinedDataTransformer[C, UninterceptorComposite[M, C]]

Value Members

final def !=(arg0: AnyRef): Boolean

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

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final def ##(): Int

Definition Classes
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final def ==(arg0: AnyRef): Boolean

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final def ==(arg0: Any): Boolean

Definition Classes
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def appendBias(vector: Vector): Vector

Adds 1 to the end of a vector.
final def asInstanceOf[T0]: T0

Definition Classes
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def clone(): AnyRef

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

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def equals(arg0: Any): Boolean

Definition Classes
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def finalize(): Unit

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

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def hashCode(): Int

Definition Classes
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def intercept[M <: LinearModel[M]](estimator: SummarizableEstimator[M], features: String = "features"): UnwrappedStage[M, Uninterceptor[M]]

Adds an intercept/unintercept stage to the estimator of a linear model.
Adds an intercept/unintercept stage to the estimator of a linear model.
estimator
Nested estimator with linear model as result.
returns
Estimator which produce a linear model with explicit intercept.
def interceptComposite[M <: LinearModel[M], C <: CombinedModel[M, C]](estimator: SummarizableEstimator[C], features: String = "features"): UnwrappedStage[C, UninterceptorComposite[M, C]]

Adds an intercept/unintercept stage to the composite estimator with nested linear models.
Adds an intercept/unintercept stage to the composite estimator with nested linear models.
estimator
Nested composite estimator built of with linear model as result.
returns
Estimator which produce a combination of linear models with explicit intercept.
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def load(path: String): Interceptor

Definition Classes
MLReadable
Annotations
@Since( "1.6.0" )
final def ne(arg0: AnyRef): Boolean

Definition Classes
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final def notify(): Unit

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final def notifyAll(): Unit

Definition Classes
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def read: MLReader[Interceptor]

Definition Classes
DefaultParamsReadable → MLReadable
def removeBias(vector: Vector): Vector

Removes last column of a vector.
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
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def toString(): String

Definition Classes
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def transformModel[M <: LinearModel[M]](model: M): M
final def wait(): Unit

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

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

Definition Classes
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Annotations
@throws( ... )

object Interceptor extends DefaultParamsReadable[Interceptor] with Serializable

Type Members

class Uninterceptor[M <: LinearModel[M]] extends PredefinedDataTransformer[M, Uninterceptor[M]]

class UninterceptorComposite[M <: LinearModel[M], C <: CombinedModel[M, C]] extends PredefinedDataTransformer[C, UninterceptorComposite[M, C]]

Value Members

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

def appendBias(vector: Vector): Vector

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

def intercept[M <: LinearModel[M]](estimator: SummarizableEstimator[M], features: String = "features"): UnwrappedStage[M, Uninterceptor[M]]

def interceptComposite[M <: LinearModel[M], C <: CombinedModel[M, C]](estimator: SummarizableEstimator[C], features: String = "features"): UnwrappedStage[C, UninterceptorComposite[M, C]]

final def isInstanceOf[T0]: Boolean

def load(path: String): Interceptor

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def read: MLReader[Interceptor]

def removeBias(vector: Vector): Vector

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

def toString(): String

def transformModel[M <: LinearModel[M]](model: M): M

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 DefaultParamsReadable[Interceptor]

Inherited from MLReadable[Interceptor]

Inherited from AnyRef

Inherited from Any

Ungrouped