TensorFamilyWithStatistics1

abstract def score(v1: N1.Value): Double

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

final def %(n: String): TensorFamilyWithStatistics1.this.type

Assign this Template a name which will be used later when its factors are printed.

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

def defaultFactorName: String

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

var factorName: String

def finalize(): Unit

final def getClass(): Class[_]

def hasLimitedDiscreteValues1: Boolean

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

var limitedDiscreteValues1: SparseBinaryTensor1

final def ne(arg0: AnyRef): Boolean

def neighborDomain1: Domain { type Value = N1#Value }

Override this if you want to matchNeighborDomains

def neighborDomains: Seq[Domain { type Value = N1#Value }]

final def notify(): Unit

final def notifyAll(): Unit

def scoreAndStatistics(v1: N1.Value): (Double, StatisticsType)

def setFactorName(n: String): TensorFamilyWithStatistics1.this.type

Assign this Template a name which will be used later when its factors are printed.

final def statistics(v1: N1.Value): N1.Value

def statisticsScore(tensor: Tensor): Double

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

final def thisFamily: TensorFamilyWithStatistics1.this.type

def toString(): String

def valuesScore(tensor: Tensor): Double

final def valuesStatistics(tensor: Tensor): Tensor

final def wait(): Unit

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

final def wait(arg0: Long): Unit