ClassificationMetricsTF

Instance Constructors

new ClassificationMetricsTF(num_classes: Int, preds: Tensor, targets: Tensor)

num_classes
The number of classes in the classification task
preds
Predictions expressed as class probabilities/one-hot vectors
targets
Class labels expressed as one-hot vectors

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

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

Definition Classes
AnyRef → Any
def _target_quantity: String

Definition Classes
MetricsTF
final def asInstanceOf[T0]: T0

Definition Classes
Any
val class_score: Tensor
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
val confusion_matrix: Tensor
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] )
def generatePlots(): Unit

Definition Classes
MetricsTF
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def hashCode(): Int

Definition Classes
AnyRef → Any
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
var name: String

Attributes
protected
Definition Classes
MetricsTF
val names: Seq[String]

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

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val preds: Tensor

Predictions
Predictions

Definition Classes
MetricsTF
def print(): Unit

Definition Classes
ClassificationMetricsTF → MetricsTF
lazy val results: Tensor

Definition Classes
MetricsTF
def run(): Tensor

Has the actual computational logic of producing the metrics which are to be calculated.
Has the actual computational logic of producing the metrics which are to be calculated.
Implement this method in sub-classes.

Attributes
protected
Definition Classes
ClassificationMetricsTF → MetricsTF
val scoresAndLabels: (Tensor, Tensor)

Attributes
protected
Definition Classes
MetricsTF
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def target_quantity_(n: String): Unit

Definition Classes
MetricsTF
val targets: Tensor

The actual output values.
The actual output values.

Definition Classes
MetricsTF
def toString(): String

Definition Classes
AnyRef → Any
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( ... )

Related Doc: package evaluation

class ClassificationMetricsTF extends MetricsTF

Instance Constructors

new ClassificationMetricsTF(num_classes: Int, preds: Tensor, targets: Tensor)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

def _target_quantity: String

final def asInstanceOf[T0]: T0

val class_score: Tensor

def clone(): AnyRef

val confusion_matrix: Tensor

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

def print(): Unit

lazy val results: Tensor

def run(): Tensor

val scoresAndLabels: (Tensor, Tensor)

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

def target_quantity_(n: String): Unit

val targets: Tensor

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from MetricsTF

Inherited from AnyRef

Inherited from Any

Ungrouped