Target

Instance Constructors

new Target(field: Option[String], optype: Option[OpType], castInteger: Option[CastInteger], min: Option[Double], max: Option[Double], rescaleConstant: Double = 0.0, rescaleFactor: Double = 1.0, targetValues: Array[TargetValue] = Array.empty)

field
must refer to a name of a DataField or DerivedField. It can be absent when the model is used inside a Segment of a MiningModel and does not have a real target field in the input data
optype
When Target specifies optype then it overrides the optype attribute in a corresponding MiningField, if it exists. If the target does not specify optype then the MiningField is used as default. And, in turn, if the MiningField does not specify an optype, it is taken from the corresponding DataField. In other words, a MiningField overrides a DataField, and a Target overrides a MiningField.
castInteger
If a regression model should predict integers, use the attribute castInteger to control how decimal places should be handled.
min
If min is present, the predicted value will be the value of min if it is smaller than that.
max
If max is present, the predicted value will be max if it is larger than that.
rescaleConstant
can be used for simple rescale of the predicted value: First off, the predicted value is multiplied by rescaleFactor.
rescaleFactor
after that, rescaleConstant is added to the predicted value.
targetValues
In classification models, TargetValue is required. For regression models, TargetValue is only optional.

Value Members

final def !=(arg0: Any): Boolean

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

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

Definition Classes
AnyRef → Any
final def asInstanceOf[T0]: T0

Definition Classes
Any
val castInteger: Option[CastInteger]

If a regression model should predict integers, use the attribute castInteger to control how decimal places should be handled.
def categories: Array[Any]
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def defaultValue: Option[Double]
def displayValue(value: Any): Option[String]
lazy val displayValues: Map[Any, String]
final def eq(arg0: AnyRef): Boolean

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

Definition Classes
AnyRef → Any
def extensions: Seq[Extension]

Definition Classes
HasExtensions
val field: Option[String]

must refer to a name of a DataField or DerivedField.
must refer to a name of a DataField or DerivedField. It can be absent when the model is used inside a Segment of a MiningModel and does not have a real target field in the input data
def finalize(): Unit

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

Definition Classes
AnyRef → Any
def hasExtensions: Boolean

Definition Classes
HasExtensions
def hashCode(): Int

Definition Classes
AnyRef → Any
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
val max: Option[Double]

If max is present, the predicted value will be max if it is larger than that.
val min: Option[Double]

If min is present, the predicted value will be the value of min if it is smaller than that.
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val optype: Option[OpType]

When Target specifies optype then it overrides the optype attribute in a corresponding MiningField, if it exists.
When Target specifies optype then it overrides the optype attribute in a corresponding MiningField, if it exists. If the target does not specify optype then the MiningField is used as default. And, in turn, if the MiningField does not specify an optype, it is taken from the corresponding DataField. In other words, a MiningField overrides a DataField, and a Target overrides a MiningField.
def postPredictedValue(predictedValue: Double): Double
lazy val priorPredictedValue: Any
def priorProbabilities: Map[Any, Double]
val rescaleConstant: Double

can be used for simple rescale of the predicted value: First off, the predicted value is multiplied by rescaleFactor.
val rescaleFactor: Double

after that, rescaleConstant is added to the predicted value.
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
val targetValues: Array[TargetValue]

In classification models, TargetValue is required.
In classification models, TargetValue is required. For regression models, TargetValue is only optional.
def toString(): String

Definition Classes
AnyRef → Any
final def wait(): Unit

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

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

Definition Classes
AnyRef
Annotations
@throws( ... )

Related Doc: package metadata

class Target extends PmmlElement

Instance Constructors

new Target(field: Option[String], optype: Option[OpType], castInteger: Option[CastInteger], min: Option[Double], max: Option[Double], rescaleConstant: Double = 0.0, rescaleFactor: Double = 1.0, targetValues: Array[TargetValue] = Array.empty)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

val castInteger: Option[CastInteger]

def categories: Array[Any]

def clone(): AnyRef

def defaultValue: Option[Double]

def displayValue(value: Any): Option[String]

lazy val displayValues: Map[Any, String]

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def extensions: Seq[Extension]

val field: Option[String]

def finalize(): Unit

final def getClass(): Class[_]

def hasExtensions: Boolean

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

val max: Option[Double]

val min: Option[Double]

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val optype: Option[OpType]

def postPredictedValue(predictedValue: Double): Double

lazy val priorPredictedValue: Any

def priorProbabilities: Map[Any, Double]

val rescaleConstant: Double

val rescaleFactor: Double

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

val targetValues: Array[TargetValue]

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from PmmlElement

Inherited from Serializable

Inherited from Serializable

Inherited from HasExtensions

Inherited from AnyRef

Inherited from Any

Ungrouped