RuleSet

Instance Constructors

new RuleSet(ruleSelectionMethods: Array[RuleSelectionMethod], scoreDistributions: ScoreDistributions, rules: Array[Rule], recordCount: Option[Int], nbCorrect: Option[Int], defaultScore: Option[Any], defaultConfidence: Option[Double])

ruleSelectionMethods
specifies how to select rules from the ruleset to score a new case. If more than one method is included, the first method is used as the default method for scoring, but the other methods included may be selected by the application wishing to perform scoring as valid alternative methods.
scoreDistributions
describe the distribution of the predicted value in the test/training data.
rules
contains 0 or more rules which comprise the ruleset.
recordCount
The number of training/test cases to which the ruleset was applied to generate support and confidence measures for individual rules.
nbCorrect
indicates the number of training/test instances for which the default score is correct.
defaultScore
The value of score in a RuleSet serves as the default predicted value when scoring a case no rules in the ruleset fire.
defaultConfidence
provides a confidence to be returned with the default score (when scoring a case and no rules in the ruleset fire).

Value Members

final def !=(arg0: Any): Boolean

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

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

Definition Classes
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final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
val defaultConfidence: Option[Double]

provides a confidence to be returned with the default score (when scoring a case and no rules in the ruleset fire).
val defaultScore: Option[Any]

The value of score in a RuleSet serves as the default predicted value when scoring a case no rules in the ruleset fire.
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
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
def fire(series: Series): Array[SimpleRule]
def first(series: Series): Option[SimpleRule]
final def getClass(): Class[_]

Definition Classes
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def hasExtensions: Boolean

Definition Classes
HasExtensions
def hashCode(): Int

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

Definition Classes
Any
val nbCorrect: Option[Int]

indicates the number of training/test instances for which the default score is correct.
final def ne(arg0: AnyRef): Boolean

Definition Classes
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final def notify(): Unit

Definition Classes
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final def notifyAll(): Unit

Definition Classes
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val recordCount: Option[Int]

The number of training/test cases to which the ruleset was applied to generate support and confidence measures for individual rules.
val ruleSelectionMethods: Array[RuleSelectionMethod]

specifies how to select rules from the ruleset to score a new case.
specifies how to select rules from the ruleset to score a new case. If more than one method is included, the first method is used as the default method for scoring, but the other methods included may be selected by the application wishing to perform scoring as valid alternative methods.
val rules: Array[Rule]

contains 0 or more rules which comprise the ruleset.
val scoreDistributions: ScoreDistributions

describe the distribution of the predicted value in the test/training data.
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
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final def wait(): Unit

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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 Doc: package model

class RuleSet extends PmmlElement

Instance Constructors

new RuleSet(ruleSelectionMethods: Array[RuleSelectionMethod], scoreDistributions: ScoreDistributions, rules: Array[Rule], recordCount: Option[Int], nbCorrect: Option[Int], defaultScore: Option[Any], defaultConfidence: Option[Double])

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

val defaultConfidence: Option[Double]

val defaultScore: Option[Any]

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def extensions: Seq[Extension]

def finalize(): Unit

def fire(series: Series): Array[SimpleRule]

def first(series: Series): Option[SimpleRule]

final def getClass(): Class[_]

def hasExtensions: Boolean

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

val nbCorrect: Option[Int]

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val recordCount: Option[Int]

val ruleSelectionMethods: Array[RuleSelectionMethod]

val rules: Array[Rule]

val scoreDistributions: ScoreDistributions

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 PmmlElement

Inherited from Serializable

Inherited from Serializable

Inherited from HasExtensions

Inherited from AnyRef

Inherited from Any

Ungrouped