Classifier

abstract def copy(model: A, numClasses: Int): A

A function that creates a new classifier with numClasses set.

abstract def fitSafe(model: A, x: Features, y: Target): A

A function that is guaranteed to receive an appropriate target variable when called.

abstract def isFitted(model: A): Boolean

abstract def numClasses(model: A): Option[Int]

abstract def predictProbaSafe(model: A, x: Features): Simplex

A function that is guaranteed to be called on a fitted model.

abstract def predictSafe(model: A, x: Features): Target

A function that is guaranteed to be called on a fitted model.

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

def fit(model: A, x: Features, y: Target): A

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def predict(model: A, x: Features): Target

def predictProba(model: A, x: Features): Simplex

def save(model: A, filePath: String): Unit

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