Instance Constructors
-
new
BinaryLogisticRegressionModel(coefficients: Vector, intercept: Double, threshold: Double)
Value Members
-
final
def
!=(arg0: AnyRef): Boolean
-
final
def
!=(arg0: Any): Boolean
-
final
def
##(): Int
-
final
def
==(arg0: AnyRef): Boolean
-
final
def
==(arg0: Any): Boolean
-
def
apply(features: Vector): Double
-
final
def
asInstanceOf[T0]: T0
-
def
clone(): AnyRef
-
val
coefficients: Vector
-
final
def
eq(arg0: AnyRef): Boolean
-
def
finalize(): Unit
-
final
def
getClass(): Class[_]
-
-
val
intercept: Double
-
final
def
isInstanceOf[T0]: Boolean
-
def
margin(features: Vector): Double
-
final
def
ne(arg0: AnyRef): Boolean
-
final
def
notify(): Unit
-
final
def
notifyAll(): Unit
-
val
numClasses: Int
-
val
numFeatures: Int
-
-
def
predict(features: Vector): Double
-
def
predictProbabilities(features: Vector): Vector
-
def
predictRaw(features: Vector): Vector
-
def
predictWithProbability(features: Vector): (Double, Double)
-
def
probabilityToPrediction(probability: Vector): Double
-
def
probabilityToPredictionIndex(probability: Vector): Int
-
def
rawToPrediction(raw: Vector): Double
-
def
rawToProbability(raw: Vector): Vector
-
def
rawToProbabilityInPlace(raw: Vector): Vector
-
def
score(features: Vector): Double
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
-
val
threshold: Double
-
def
thresholds: Option[Array[Double]]
-
final
def
wait(): Unit
-
final
def
wait(arg0: Long, arg1: Int): Unit
-
final
def
wait(arg0: Long): Unit
Inherited from Serializable
Inherited from Serializable
Inherited from Product
Inherited from Equals
Inherited from AnyRef
Inherited from Any