cc.factorie.app.regress

LinearRegressionModel

class LinearRegressionModel extends MultivariateModel

Linear Supertypes
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. LinearRegressionModel
  2. MultivariateModel
  3. OptimizablePredictor
  4. Predictor
  5. Parameters
  6. AnyRef
  7. Any
  1. Hide All
  2. Show all
Learn more about member selection
Visibility
  1. Public
  2. All

Instance Constructors

  1. new LinearRegressionModel(nFeatures: Int, nLabel: Int)

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

    Definition Classes
    Any
  6. def Weights(t4: ⇒ Tensor4): Weights4

    Definition Classes
    Parameters
  7. def Weights(t3: ⇒ Tensor3): Weights3

    Definition Classes
    Parameters
  8. def Weights(t2: ⇒ Tensor2): Weights2

    Definition Classes
    Parameters
  9. def Weights(t1: ⇒ Tensor1): Weights1

    Definition Classes
    Parameters
  10. def accumulateObjectiveGradient(accumulator: WeightsMapAccumulator, features: la.Tensor1, gradient: la.Tensor1, weight: Double): Unit

    Put gradient of objective with respect to parameters into the accumulator.

    Put gradient of objective with respect to parameters into the accumulator. The contract states we cannot mutate the "input" argument inside this method.

    accumulator

    Accumulator to hold gradient

    weight

    Weight mutliplier for gradient

    Definition Classes
    MultivariateModelOptimizablePredictor
  11. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  12. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  13. final def eq(arg0: AnyRef): Boolean

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

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

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

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

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

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

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

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

    Definition Classes
    AnyRef
  22. val parameters: WeightsSet

    Definition Classes
    Parameters
  23. def predict(feats: la.Tensor1): la.Tensor1

    Definition Classes
    MultivariateModelPredictor
  24. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  25. def toString(): String

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  27. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  28. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  29. val weights: Weights2

Inherited from MultivariateModel

Inherited from Predictor[la.Tensor1, la.Tensor1]

Inherited from model.Parameters

Inherited from AnyRef

Inherited from Any

Ungrouped