cc.factorie.app.regress

LinearRegressor

class LinearRegressor[E <: TensorVar, A <: TensorVar] extends Regressor[A]

Self Type
LinearRegressor[E, A]
Linear Supertypes
Regressor[A], AnyRef, Any
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  1. LinearRegressor
  2. Regressor
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Instance Constructors

  1. new LinearRegressor(dependant2Explanatory: (A) ⇒ E, weights: la.Tensor2)

Value Members

  1. final def !=(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any
  3. final def ##(): Int

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

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

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    Any
  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  7. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  8. val dependant2Explanatory: (A) ⇒ E

  9. final def eq(arg0: AnyRef): Boolean

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

    Definition Classes
    AnyRef → Any
  11. def finalize(): Unit

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

    Definition Classes
    AnyRef → Any
  13. def hashCode(): Int

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

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

    Definition Classes
    AnyRef
  16. final def notify(): Unit

    Definition Classes
    AnyRef
  17. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  18. def regress(xs: Iterable[A]): Seq[Regression[A]]

    Definition Classes
    Regressor
  19. def regress(x: A): Regression[A]

    Set the RealVariable to regressor-predicted value and return a Regression object summarizing the outcome.

    Set the RealVariable to regressor-predicted value and return a Regression object summarizing the outcome.

    Definition Classes
    Regressor
  20. def regression(x: A): Regression[A] { def regressor: cc.factorie.app.regress.LinearRegressor[E,A] }

    Definition Classes
    LinearRegressorRegressor
  21. def regressions(xs: Iterable[A]): Seq[Regression[A]]

    Definition Classes
    Regressor
  22. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  23. def toString(): String

    Definition Classes
    AnyRef → Any
  24. final def wait(): Unit

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    @throws( ... )
  25. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  26. final def wait(arg0: Long): Unit

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  27. val weights: la.Tensor2

Inherited from Regressor[A]

Inherited from AnyRef

Inherited from Any

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