SingleLogisticRegression

Represents a SingleLogisticRegression to be used as one of several in a MultiLogisticRegressionModel.

We use java.lang.Double for the type of the numeric values, because the scala Double type information is lost by scala/Gson and the deserialization fails badly for edge cases (e.g. Double.NaN).

dependentValue: The dependent value that the coefficients correspond to.
coefficients: The coefficients for the single Logistic Regression model.
bias: The constant term, that is added to the dot product of the feature coefficient vectors.

Linear Supertypes

Serializable, Serializable, Product, Equals, AnyRef, Any

Instance Constructors

new SingleLogisticRegression(dependentValue: String, coefficients: Seq[Double], bias: Double = 0)

dependentValue
The dependent value that the coefficients correspond to.
coefficients
The coefficients for the single Logistic Regression model.
bias
The constant term, that is added to the dot product of the feature coefficient 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
final def asInstanceOf[T0]: T0

Definition Classes
Any
val bias: Double

The constant term, that is added to the dot product of the feature coefficient vectors.
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
val coefficients: Seq[Double]

The coefficients for the single Logistic Regression model.
val dependentValue: String

The dependent value that the coefficients correspond to.
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def finalize(): Unit

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

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

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

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
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 ml

case class SingleLogisticRegression(dependentValue: String, coefficients: Seq[Double], bias: Double = 0) extends Product with Serializable

Instance Constructors

new SingleLogisticRegression(dependentValue: String, coefficients: Seq[Double], bias: Double = 0)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

val bias: Double

def clone(): AnyRef

val coefficients: Seq[Double]

val dependentValue: String

final def eq(arg0: AnyRef): Boolean

def finalize(): Unit

final def getClass(): Class[_]

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

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

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

Ungrouped