MulticlassMetrics

Instance Constructors

new MulticlassMetrics(predictionAndLabels: RDD[(Double, Double)])

predictionAndLabels
an RDD of (prediction, label) pairs.

Annotations
@Since( "1.1.0" )

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
lazy val accuracy: Double

Returns accuracy (equals to the total number of correctly classified instances out of the total number of instances.)
Returns accuracy (equals to the total number of correctly classified instances out of the total number of instances.)

Annotations
@Since( "2.0.0" )
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def confusionMatrix: Matrix

Returns confusion matrix: predicted classes are in columns, they are ordered by class label ascending, as in "labels"
Returns confusion matrix: predicted classes are in columns, they are ordered by class label ascending, as in "labels"

Annotations
@Since( "1.1.0" )
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def fMeasure(label: Double): Double

Returns f1-measure for a given label (category)
Returns f1-measure for a given label (category)
label
the label.

Annotations
@Since( "1.1.0" )
def fMeasure(label: Double, beta: Double): Double

Returns f-measure for a given label (category)
Returns f-measure for a given label (category)
label
the label.
beta
the beta parameter.

Annotations
@Since( "1.1.0" )
def falsePositiveRate(label: Double): Double

Returns false positive rate for a given label (category)
Returns false positive rate for a given label (category)
label
the label.

Annotations
@Since( "1.1.0" )
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def hashCode(): Int

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

Definition Classes
Any
lazy val labels: Array[Double]

Returns the sequence of labels in ascending order
Returns the sequence of labels in ascending order

Annotations
@Since( "1.1.0" )
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def precision(label: Double): Double

Returns precision for a given label (category)
Returns precision for a given label (category)
label
the label.

Annotations
@Since( "1.1.0" )
def recall(label: Double): Double

Returns recall for a given label (category)
Returns recall for a given label (category)
label
the label.

Annotations
@Since( "1.1.0" )
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
def truePositiveRate(label: Double): Double

Returns true positive rate for a given label (category)
Returns true positive rate for a given label (category)
label
the label.

Annotations
@Since( "1.1.0" )
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( ... )
def weightedFMeasure(beta: Double): Double

Returns weighted averaged f-measure
Returns weighted averaged f-measure
beta
the beta parameter.

Annotations
@Since( "1.1.0" )
lazy val weightedFMeasure: Double

Returns weighted averaged f1-measure
Returns weighted averaged f1-measure

Annotations
@Since( "1.1.0" )
lazy val weightedFalsePositiveRate: Double

Returns weighted false positive rate
Returns weighted false positive rate

Annotations
@Since( "1.1.0" )
lazy val weightedPrecision: Double

Returns weighted averaged precision
Returns weighted averaged precision

Annotations
@Since( "1.1.0" )
lazy val weightedRecall: Double

Returns weighted averaged recall (equals to precision, recall and f-measure)
Returns weighted averaged recall (equals to precision, recall and f-measure)

Annotations
@Since( "1.1.0" )
lazy val weightedTruePositiveRate: Double

Returns weighted true positive rate (equals to precision, recall and f-measure)
Returns weighted true positive rate (equals to precision, recall and f-measure)

Annotations
@Since( "1.1.0" )

Deprecated Value Members

lazy val fMeasure: Double

Returns f-measure (equals to precision and recall because precision equals recall)
Returns f-measure (equals to precision and recall because precision equals recall)

Annotations
@Since( "1.1.0" ) @deprecated
Deprecated
(Since version 2.0.0) Use accuracy.
lazy val precision: Double

Returns precision
Returns precision

Annotations
@Since( "1.1.0" ) @deprecated
Deprecated
(Since version 2.0.0) Use accuracy.
lazy val recall: Double

Returns recall (equals to precision for multiclass classifier because sum of all false positives is equal to sum of all false negatives)
Returns recall (equals to precision for multiclass classifier because sum of all false positives is equal to sum of all false negatives)

Annotations
@Since( "1.1.0" ) @deprecated
Deprecated
(Since version 2.0.0) Use accuracy.

Related Doc: package evaluation

class MulticlassMetrics extends AnyRef

Instance Constructors

new MulticlassMetrics(predictionAndLabels: RDD[(Double, Double)])

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

lazy val accuracy: Double

final def asInstanceOf[T0]: T0

def clone(): AnyRef

def confusionMatrix: Matrix

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def fMeasure(label: Double): Double

def fMeasure(label: Double, beta: Double): Double

def falsePositiveRate(label: Double): Double

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

lazy val labels: Array[Double]

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def precision(label: Double): Double

def recall(label: Double): Double

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

def toString(): String

def truePositiveRate(label: Double): Double

final def wait(): Unit

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

final def wait(arg0: Long): Unit

def weightedFMeasure(beta: Double): Double

lazy val weightedFMeasure: Double

lazy val weightedFalsePositiveRate: Double

lazy val weightedPrecision: Double

lazy val weightedRecall: Double

lazy val weightedTruePositiveRate: Double

Deprecated Value Members

lazy val fMeasure: Double

lazy val precision: Double

lazy val recall: Double

Inherited from AnyRef

Inherited from Any

Ungrouped