AnomalyDetectionWithCountVetcorizerModel

Instance Constructors

new AnomalyDetectionWithCountVetcorizerModel(nTriplesRDD: RDD[Triple], objList: List[String], triplesType: List[String], JSimThreshold: Double, listSuperType: List[String], sparkSession: SparkSession, hypernym: String, numPartition: Int)

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( ... )
final def eq(arg0: AnyRef): Boolean

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

Definition Classes
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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 getHyp(): RDD[Triple]
def getLocalName1(x: Node): String
def getNumber(a: String): AnyRef
def getObjectList(): RDD[Triple]
def hashCode(): Int

Definition Classes
AnyRef → Any
def iqr1(cluster: Seq[(String, String, AnyRef)], anomalyListLimit: Int): Dataset[Row]
def iqr2(cluster: Seq[(String, String, AnyRef)], anomalyListLimit: Int): Seq[(String, String, AnyRef)]
def isAllDigits(x: String): Boolean
def isContains(a: List[Node], b: List[Node]): Boolean
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def isNumeric(x: String): Boolean
def jSimilarity(TriplesWithNumericLiteral: RDD[Triple], rdfTypeDBwiki: RDD[(String, HashSet[String])], mapSubWithTriples: RDD[(String, Set[(String, String, AnyRef)])]): RDD[Set[(String, String, AnyRef)]]
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
AnyRef
def propClustering(triplesWithNumericLiteral: RDD[Triple]): RDD[(String, Set[(String, String, AnyRef)])]
def propwithsubject(a: RDD[Triple]): RDD[(String, String)]
def rdfType(getHypernym: RDD[Triple]): RDD[(String, HashSet[String])]
def removeSupType(a: RDD[((String, HashSet[String]), (String, HashSet[String]))]): RDD[((String, HashSet[String]), (String, HashSet[String]))]
def run(): RDD[Set[(String, String, AnyRef)]]
def search(a: Double, b: Array[Double]): Boolean
def searchType(x: String, y: List[String]): Boolean
def searchedge(x: String, y: List[String]): Boolean
def sim(seq1: HashSet[String], seq2: HashSet[String]): Double
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
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def triplesWithNumericLit(objLit: RDD[Triple]): RDD[Triple]
final def wait(): Unit

Definition Classes
AnyRef
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
AnyRef
Annotations
@throws( ... )

Related Docs: object AnomalyDetectionWithCountVetcorizerModel | package anomalydetection

class AnomalyDetectionWithCountVetcorizerModel extends Serializable

Instance Constructors

new AnomalyDetectionWithCountVetcorizerModel(nTriplesRDD: RDD[Triple], objList: List[String], triplesType: List[String], JSimThreshold: Double, listSuperType: List[String], sparkSession: SparkSession, hypernym: String, numPartition: Int)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

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 getHyp(): RDD[Triple]

def getLocalName1(x: Node): String

def getNumber(a: String): AnyRef

def getObjectList(): RDD[Triple]

def hashCode(): Int

def iqr1(cluster: Seq[(String, String, AnyRef)], anomalyListLimit: Int): Dataset[Row]

def iqr2(cluster: Seq[(String, String, AnyRef)], anomalyListLimit: Int): Seq[(String, String, AnyRef)]

def isAllDigits(x: String): Boolean

def isContains(a: List[Node], b: List[Node]): Boolean

final def isInstanceOf[T0]: Boolean

def isNumeric(x: String): Boolean

def jSimilarity(TriplesWithNumericLiteral: RDD[Triple], rdfTypeDBwiki: RDD[(String, HashSet[String])], mapSubWithTriples: RDD[(String, Set[(String, String, AnyRef)])]): RDD[Set[(String, String, AnyRef)]]

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def propClustering(triplesWithNumericLiteral: RDD[Triple]): RDD[(String, Set[(String, String, AnyRef)])]

def propwithsubject(a: RDD[Triple]): RDD[(String, String)]

def rdfType(getHypernym: RDD[Triple]): RDD[(String, HashSet[String])]

def removeSupType(a: RDD[((String, HashSet[String]), (String, HashSet[String]))]): RDD[((String, HashSet[String]), (String, HashSet[String]))]

def run(): RDD[Set[(String, String, AnyRef)]]

def search(a: Double, b: Array[Double]): Boolean

def searchType(x: String, y: List[String]): Boolean

def searchedge(x: String, y: List[String]): Boolean

def sim(seq1: HashSet[String], seq2: HashSet[String]): Double

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

def toString(): String

def triplesWithNumericLit(objLit: RDD[Triple]): RDD[Triple]

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