MetricsTF

abstract def run(): Tensor

Has the actual computational logic of producing the metrics which are to be calculated.

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

def _target_quantity: String

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

def generatePlots(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

var name: String

val names: Seq[String]

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val preds: Tensor

Predictions

def print(): Unit

lazy val results: Tensor

val scoresAndLabels: (Tensor, Tensor)

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

def target_quantity_(n: String): Unit

val targets: Tensor

The actual output values.

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit