GeneralizedLinearRegressionModel

Type Members

abstract class Family extends Serializable

A description of the error distribution to be used in the model.
class FamilyAndLink extends Serializable

Wrapper of family and link combination used in the model.
abstract class Link extends Serializable

A description of the link function to be used in the model.
A description of the link function to be used in the model. The link function provides the relationship between the linear predictor and the mean of the distribution function.

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

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final def ==(arg0: Any): Boolean

Definition Classes
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object Binomial extends Family

Binomial exponential family distribution.
Binomial exponential family distribution. The default link for the Binomial family is the logit link.
object CLogLog extends Link
object Family extends Serializable
object Gamma extends Family

Gamma exponential family distribution.
Gamma exponential family distribution. The default link for the Gamma family is the inverse link.
object Gaussian extends Family

Gaussian exponential family distribution.
Gaussian exponential family distribution. The default link for the Gaussian family is the identity link.
object Identity extends Link
object Inverse extends Link
object Link extends Serializable
object Log extends Link
object Logit extends Link
object Poisson extends Family

Poisson exponential family distribution.
Poisson exponential family distribution. The default link for the Poisson family is the log link.
object Probit extends Link
object Sqrt extends Link
final def asInstanceOf[T0]: T0

Definition Classes
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def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
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Annotations
@throws( ... )
val epsilon: Double
final def eq(arg0: AnyRef): Boolean

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def equals(arg0: Any): Boolean

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def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
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Annotations
@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

Definition Classes
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lazy val supportedFamilyAndLinkPairs: Set[(Family, Link)]
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
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def toString(): String

Definition Classes
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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( ... )

Related Docs: class GeneralizedLinearRegressionModel | package regression

object GeneralizedLinearRegressionModel extends Serializable

Type Members

abstract class Family extends Serializable

class FamilyAndLink extends Serializable

abstract class Link extends Serializable

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

object Binomial extends Family

object CLogLog extends Link

object Family extends Serializable

object Gamma extends Family

object Gaussian extends Family

object Identity extends Link

object Inverse extends Link

object Link extends Serializable

object Log extends Link

object Logit extends Link

object Poisson extends Family

object Probit extends Link

object Sqrt extends Link

final def asInstanceOf[T0]: T0

def clone(): AnyRef

val epsilon: Double

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

lazy val supportedFamilyAndLinkPairs: Set[(Family, Link)]

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

Ungrouped