Categorical

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 fit(seq: Seq[T]): RandomVariable[Distribution[T]]

def fit(value: T): RandomVariable[Distribution[T]]

def flatMap[U](fn: (T) ⇒ Categorical[U]): Categorical[U]

def generator: Generator[T]

final def getClass(): Class[_]

final def isInstanceOf[T0]: Boolean

def likelihood: Likelihood[T] { ... /* 2 definitions in type refinement */ }

def map[U](fn: (T) ⇒ U): Categorical[U]

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val pmf: Map[T, Real]

A map with keys corresponding to the possible outcomes and values corresponding to the probabilities of those outcomes

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

def toMixture[V](implicit ev: <:<[T, Continuous]): Mixture

def toMultinomial: Predictor[Int, Multinomial[T]] { ... /* 2 definitions in type refinement */ }

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

final def wait(arg0: Long): Unit

final def wait(): Unit

def finalize(): Unit