Label

Instance Constructors

new Label(token: Token, s: String)

Type Members

case class DiscreteVariableDiff(oldValue: Int, newValue: Int) extends Diff with Product with Serializable

Definition Classes
MutableDiscreteVar
trait SettingIterator extends variable.SettingIterator

Definition Classes
IterableSettings
type TargetType = CategoricalTargetVariable[String]

Definition Classes
CategoricalLabeling → LabeledMutableCategoricalVar → LabeledCategoricalVar → LabeledMutableDiscreteVar → LabeledDiscreteVar → LabeledVar
type Value = CategoricalValue[String]

Definition Classes
CategoricalVariable → CategoricalVar → DiscreteVar → VectorVar → TensorVar → Var

Value Members

final def !=(arg0: AnyRef): Boolean

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

Definition Classes
Any
def !==(other: variable.Var): Boolean

Definition Classes
Var
final def ##(): Int

Definition Classes
AnyRef → Any
def ++=(elts: Iterable[String]): Unit

Definition Classes
CategoricalVectorVar
def +=(elt: String): Unit

Definition Classes
CategoricalVectorVar
def +=(elt: String, incr: Double): Unit

Definition Classes
CategoricalVectorVar
final def :=(i: Int): Unit

Definition Classes
MutableDiscreteVar
Annotations
@inline()
final def :=(newValue: Value): Unit

Definition Classes
MutableVar
final def ==(arg0: AnyRef): Boolean

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

Definition Classes
Any
def ===(other: variable.Var): Boolean

Value comparisons (as distinct from variable pointer equality)
Value comparisons (as distinct from variable pointer equality)

Definition Classes
Var
def _initialize(newValue: Int): Unit

Attributes
protected
Definition Classes
MutableDiscreteVar
final def _value: Int

Attributes
protected
Definition Classes
MutableDiscreteVar
Annotations
@inline()
def activeCategories: Seq[String]

Definition Classes
CategoricalVectorVar
final def asInstanceOf[T0]: T0

Definition Classes
Any
def caseFactorProportions(model: model.Model): Proportions1

Return the distribution over values of this variable given the model and given that all other variables' values are fixed.
Return the distribution over values of this variable given the model and given that all other variables' values are fixed.

Definition Classes
DiscreteVar
def categoryValue: String

Definition Classes
CategoricalVar
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def contains(index: Int): Boolean

Definition Classes
VectorVar
def doWithIndexSafely(elt: String, v: Double, update: Boolean): Unit

Attributes
protected
Definition Classes
CategoricalVectorVar
def domain: LabelDomain.type

Abstract method to return the domain of this variable.
Abstract method to return the domain of this variable.

Definition Classes
Label → MutableCategoricalVar → CategoricalVar → CategoricalVectorVar → MutableDiscreteVar → DiscreteVar → VarWithDomain → VectorVar
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] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def hashCode(): Int

Definition Classes
AnyRef → Any
def intValue: Int

Definition Classes
MutableDiscreteVar → DiscreteVar
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def isUnlabeled: Boolean

Definition Classes
LabeledMutableDiscreteVar
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def printName: String

Definition Classes
Var
def proportions(model: model.Model): Proportions1

Return the distribution over values of this variable given the model and given that all other variables' values are fixed.
Return the distribution over values of this variable given the model and given that all other variables' values are fixed.

Definition Classes
DiscreteVar
def proportions(factors: Iterable[model.Factor]): Proportions1

Return the distribution over values of this variable given some factors (which presumably neighbor this DiscreteVar) and given that all other variables' values are fixed.
Return the distribution over values of this variable given some factors (which presumably neighbor this DiscreteVar) and given that all other variables' values are fixed.

Definition Classes
DiscreteVar
def relabel(): Unit

Definition Classes
LabeledMutableDiscreteVar
def set(newValue: Int)(implicit d: variable.DiffList): Unit

Definition Classes
MutableDiscreteVar
final def set(newValue: Value)(implicit d: variable.DiffList): Unit

Assign a new value to this variable
Assign a new value to this variable

Definition Classes
MutableDiscreteVar → MutableVar
Annotations
@inline()
def setCategory(newCategory: String)(implicit d: variable.DiffList): Unit

Definition Classes
MutableCategoricalVar
def setRandomly(implicit random: Random, d: variable.DiffList = null): Unit

Definition Classes
MutableDiscreteVar
def setToTarget(implicit d: variable.DiffList = null): Unit

Definition Classes
LabeledMutableDiscreteVar → LabeledMutableVar
def settings: SettingIterator

Definition Classes
MutableDiscreteVar → IterableSettings
def skipNonCategories: Boolean

If false, then when += is called with a value (or index) outside the Domain, an error is thrown.
If false, then when += is called with a value (or index) outside the Domain, an error is thrown. If true, then no error is thrown, and request to add the outside-Domain value is simply ignored.

Definition Classes
CategoricalVectorVar
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
val target: CategoricalTargetVariable[String]

Stores the intended true "target" value for this variable.
Stores the intended true "target" value for this variable.

Definition Classes
CategoricalLabeling → LabeledVar
def toString(): String

Definition Classes
CategoricalVar → DiscreteVar → Var → AnyRef → Any
val token: Token
def unlabel(): Unit

Definition Classes
LabeledMutableDiscreteVar
def value: Value

Abstract method to return the value of this variable.
Abstract method to return the value of this variable.

Definition Classes
MutableCategoricalVar → MutableDiscreteVar → MutableVar → CategoricalVar → DiscreteVar → VectorVar → TensorVar → Var
def valueIsTarget: Boolean

Definition Classes
LabeledDiscreteVar → LabeledVar
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( ... )

class Label extends LabeledCategoricalVariable[String]

Instance Constructors

new Label(token: Token, s: String)

Type Members

case class DiscreteVariableDiff(oldValue: Int, newValue: Int) extends Diff with Product with Serializable

trait SettingIterator extends variable.SettingIterator

type TargetType = CategoricalTargetVariable[String]

type Value = CategoricalValue[String]

Value Members

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

def !==(other: variable.Var): Boolean

final def ##(): Int

def ++=(elts: Iterable[String]): Unit

def +=(elt: String): Unit

def +=(elt: String, incr: Double): Unit

final def :=(i: Int): Unit

final def :=(newValue: Value): Unit

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

def ===(other: variable.Var): Boolean

def _initialize(newValue: Int): Unit

final def _value: Int

def activeCategories: Seq[String]

final def asInstanceOf[T0]: T0

def caseFactorProportions(model: model.Model): Proportions1

def categoryValue: String

def clone(): AnyRef

def contains(index: Int): Boolean

def doWithIndexSafely(elt: String, v: Double, update: Boolean): Unit

def domain: LabelDomain.type

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

def intValue: Int

final def isInstanceOf[T0]: Boolean

def isUnlabeled: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def printName: String

def proportions(model: model.Model): Proportions1

def proportions(factors: Iterable[model.Factor]): Proportions1

def relabel(): Unit

def set(newValue: Int)(implicit d: variable.DiffList): Unit

final def set(newValue: Value)(implicit d: variable.DiffList): Unit

def setCategory(newCategory: String)(implicit d: variable.DiffList): Unit

def setRandomly(implicit random: Random, d: variable.DiffList = null): Unit

def setToTarget(implicit d: variable.DiffList = null): Unit

def settings: SettingIterator

def skipNonCategories: Boolean

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

val target: CategoricalTargetVariable[String]

def toString(): String

val token: Token

def unlabel(): Unit

def value: Value

def valueIsTarget: Boolean

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from LabeledCategoricalVariable[String]

Inherited from CategoricalLabeling[String]

Inherited from LabeledMutableCategoricalVar[String]

Inherited from LabeledCategoricalVar[String]

Inherited from LabeledMutableDiscreteVar

Inherited from LabeledMutableVar

Inherited from LabeledDiscreteVar

Inherited from LabeledVar

Inherited from CategoricalVariable[String]

Inherited from MutableCategoricalVar[String]

Inherited from CategoricalVar[String]

Inherited from CategoricalVectorVar[String]

Inherited from MutableDiscreteVar

Inherited from IterableSettings

Inherited from MutableVar

Inherited from DiscreteVar