SimpleRule

Instance Constructors

new SimpleRule(predicate: Predicate, scoreDistributions: ScoreDistributions, score: Any, id: Option[String] = None, recordCount: Option[Int] = None, nbCorrect: Option[Int] = None, confidence: Double = 1.0, weight: Double = 1.0)

predicate
the condition upon which the rule fires. For more details on PREDICATE see the section on predicates in TreeModel. This explains how predicates are described and evaluated and how missing values are handled.
scoreDistributions
Describes the distribution of the predicted value for instances where the rule fires in the training/test data.
score
The predicted value when the rule fires.
id
The value of id serves as a unique identifier for the rule. Must be unique within the ruleset.
recordCount
The number of training/test instances on which the rule fired.
nbCorrect
Indicates the number of training/test instances on which the rule fired and the prediction was correct.
confidence
Indicates the confidence of the rule.
weight
Indicates the relative importance of the rule. May or may not be equal to the confidence.

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
def clone(): AnyRef

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

Indicates the confidence of the rule.
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]

Definition Classes
SimpleRule → Rule
def first(series: Series): Option[SimpleRule]

Definition Classes
SimpleRule → Rule
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def getConfidence(value: Any): Double

Definition Classes
HasScoreDistributions
def getProbability(value: Any): Double

Definition Classes
HasScoreDistributions
def getScoreDistribution(value: Any): Option[ScoreDistribution]

Definition Classes
HasScoreDistributions
def hasExtensions: Boolean

Definition Classes
HasExtensions
def hashCode(): Int

Definition Classes
AnyRef → Any
val id: Option[String]

The value of id serves as a unique identifier for the rule.
The value of id serves as a unique identifier for the rule. Must be unique within the ruleset.
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
val nbCorrect: Option[Int]

Indicates the number of training/test instances on which the rule fired and the prediction was correct.
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val predicate: Predicate

the condition upon which the rule fires.
the condition upon which the rule fires. For more details on PREDICATE see the section on predicates in TreeModel. This explains how predicates are described and evaluated and how missing values are handled.

Definition Classes
SimpleRule → Rule
def probabilities: Map[Any, Double]

Definition Classes
HasScoreDistributions
val recordCount: Option[Int]

The number of training/test instances on which the rule fired.
val score: Any

The predicted value when the rule fires.
val scoreDistributions: ScoreDistributions

Describes the distribution of the predicted value for instances where the rule fires in the training/test data.
Describes the distribution of the predicted value for instances where the rule fires in the training/test data.

Definition Classes
SimpleRule → HasScoreDistributions
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
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( ... )
val weight: Double

Indicates the relative importance of the rule.
Indicates the relative importance of the rule. May or may not be equal to the confidence.

Related Doc: package model

class SimpleRule extends Rule with HasScoreDistributions with PmmlElement

Instance Constructors

new SimpleRule(predicate: Predicate, scoreDistributions: ScoreDistributions, score: Any, id: Option[String] = None, recordCount: Option[Int] = None, nbCorrect: Option[Int] = None, confidence: Double = 1.0, weight: Double = 1.0)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

val confidence: Double

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 getConfidence(value: Any): Double

def getProbability(value: Any): Double

def getScoreDistribution(value: Any): Option[ScoreDistribution]

def hasExtensions: Boolean

def hashCode(): Int

val id: Option[String]

final def isInstanceOf[T0]: Boolean

val nbCorrect: Option[Int]

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val predicate: Predicate

def probabilities: Map[Any, Double]

val recordCount: Option[Int]

val score: Any

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

val weight: Double

Inherited from PmmlElement

Inherited from Serializable

Inherited from Serializable

Inherited from HasExtensions

Inherited from HasScoreDistributions

Inherited from Rule

Inherited from AnyRef

Inherited from Any

Ungrouped