AssociationAttributes

Instance Constructors

new AssociationAttributes(attributes: ModelAttributes, numberOfTransactions: Int, minimumSupport: Double, minimumConfidence: Double, numberOfItems: Int, numberOfItemsets: Int, numberOfRules: Int, maxNumberOfItemsPerTA: Option[Int], avgNumberOfItemsPerTA: Option[Double], lengthLimit: Option[Int])
new AssociationAttributes(numberOfTransactions: Int, minimumSupport: Double, minimumConfidence: Double, numberOfItems: Int, numberOfItemsets: Int, numberOfRules: Int, maxNumberOfItemsPerTA: Option[Int] = None, avgNumberOfItemsPerTA: Option[Double] = None, lengthLimit: Option[Int] = None, functionName: MiningFunction = MiningFunction.associationRules, modelName: Option[String] = None, algorithmName: Option[String] = None, isScorable: Boolean = true)

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
val algorithmName: Option[String]

The algorithm name is free-type and can be any description for the specific algorithm that produced the model.
The algorithm name is free-type and can be any description for the specific algorithm that produced the model. This attribute is for information only.

Definition Classes
AssociationAttributes → ModelAttributes → HasModelAttributes
final def asInstanceOf[T0]: T0

Definition Classes
Any
val avgNumberOfItemsPerTA: Option[Double]

The average number of items contained in a transaction.
The average number of items contained in a transaction.

Definition Classes
AssociationAttributes → HasAssociationAttributes
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
AnyRef → Any
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
val functionName: MiningFunction

Describe the kind of mining model, e.g., whether it is intended to be used for clustering or for classification.
Describe the kind of mining model, e.g., whether it is intended to be used for clustering or for classification.

Definition Classes
AssociationAttributes → ModelAttributes → HasModelAttributes
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def hashCode(): Int

Definition Classes
AnyRef → Any
def isAssociationRules: Boolean

Tests if this is a association rules model.
Tests if this is a association rules model.

Definition Classes
HasModelAttributes
def isClassification: Boolean

Tests if this is a classification model.
Tests if this is a classification model.

Definition Classes
HasModelAttributes
def isClustering: Boolean

Tests if this is a clustering model.
Tests if this is a clustering model.

Definition Classes
HasModelAttributes
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def isMixed: Boolean

Tests if this is a mixed model.
Tests if this is a mixed model.

Definition Classes
HasModelAttributes
def isRegression: Boolean

Tests if this is a regression model.
Tests if this is a regression model.

Definition Classes
HasModelAttributes
val isScorable: Boolean

Indicates if the model is valid for scoring.
Indicates if the model is valid for scoring. If this attribute is true or if it is missing, then the model should be processed normally. However, if the attribute is false, then the model producer has indicated that this model is intended for information purposes only and should not be used to generate results.

Definition Classes
AssociationAttributes → ModelAttributes → HasModelAttributes
def isSequences: Boolean

Tests if this is a sequences model.
Tests if this is a sequences model.

Definition Classes
HasModelAttributes
def isTimeSeries: Boolean

Tests if this is a time series model.
Tests if this is a time series model.

Definition Classes
HasModelAttributes
val lengthLimit: Option[Int]

The maximum number of items contained in a rule which was used to limit the number of rules.
The maximum number of items contained in a rule which was used to limit the number of rules.

Definition Classes
AssociationAttributes → HasAssociationAttributes
val maxNumberOfItemsPerTA: Option[Int]

The number of items contained in the largest transaction.
The number of items contained in the largest transaction.

Definition Classes
AssociationAttributes → HasAssociationAttributes
val minimumConfidence: Double

The minimum confidence value satisfied by all rules.
The minimum confidence value satisfied by all rules. Confidence is calculated as (support (rule) / support(antecedent)).

Definition Classes
AssociationAttributes → HasAssociationAttributes
val minimumSupport: Double

The minimum relative support value (#supporting transactions / #total transactions) satisfied by all rules.
The minimum relative support value (#supporting transactions / #total transactions) satisfied by all rules.

Definition Classes
AssociationAttributes → HasAssociationAttributes
val modelName: Option[String]

Identifies the model with a unique name in the context of the PMML file.
Identifies the model with a unique name in the context of the PMML file. This attribute is not required. Consumers of PMML models are free to manage the names of the models at their discretion.

Definition Classes
AssociationAttributes → ModelAttributes → HasModelAttributes
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val numberOfItems: Int

The number of different items contained in the input data.
The number of different items contained in the input data. This number may be greater than or equal to the number of items contained in the model. The value will be greater if any items in the input data are excluded from the model, as a consequence of not being referenced by the model.

Definition Classes
AssociationAttributes → HasAssociationAttributes
val numberOfItemsets: Int

The number of itemsets contained in the model.
The number of itemsets contained in the model.

Definition Classes
AssociationAttributes → HasAssociationAttributes
val numberOfRules: Int

The number of rules contained in the model.
The number of rules contained in the model.

Definition Classes
AssociationAttributes → HasAssociationAttributes
val numberOfTransactions: Int

The number of transactions contained in the input data.
The number of transactions contained in the input data.

Definition Classes
AssociationAttributes → HasAssociationAttributes
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( ... )

Related Doc: package model

class AssociationAttributes extends ModelAttributes with HasAssociationAttributes

Instance Constructors

new AssociationAttributes(attributes: ModelAttributes, numberOfTransactions: Int, minimumSupport: Double, minimumConfidence: Double, numberOfItems: Int, numberOfItemsets: Int, numberOfRules: Int, maxNumberOfItemsPerTA: Option[Int], avgNumberOfItemsPerTA: Option[Double], lengthLimit: Option[Int])

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

val algorithmName: Option[String]

final def asInstanceOf[T0]: T0

val avgNumberOfItemsPerTA: Option[Double]

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

val functionName: MiningFunction

final def getClass(): Class[_]

def hashCode(): Int

def isAssociationRules: Boolean

def isClassification: Boolean

def isClustering: Boolean

final def isInstanceOf[T0]: Boolean

def isMixed: Boolean

def isRegression: Boolean

val isScorable: Boolean

def isSequences: Boolean

def isTimeSeries: Boolean

val lengthLimit: Option[Int]

val maxNumberOfItemsPerTA: Option[Int]

val minimumConfidence: Double

val minimumSupport: Double

val modelName: Option[String]

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val numberOfItems: Int

val numberOfItemsets: Int

val numberOfRules: Int

val numberOfTransactions: Int

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 HasAssociationAttributes

Inherited from ModelAttributes

Inherited from Serializable

Inherited from Serializable

Inherited from HasModelAttributes

Inherited from AnyRef

Inherited from Any

Ungrouped