org.apache.mahout.math.algorithms.regression

CochraneOrcuttModel

class CochraneOrcuttModel[K] extends LinearRegressorModel[K]

Linear Supertypes
LinearRegressorModel[K], RegressorModel[K], SupervisedModel[K], Model, Serializable, Serializable, AnyRef, Any
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Inherited
  1. CochraneOrcuttModel
  2. LinearRegressorModel
  3. RegressorModel
  4. SupervisedModel
  5. Model
  6. Serializable
  7. Serializable
  8. AnyRef
  9. Any
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Instance Constructors

  1. new CochraneOrcuttModel(regressor: LinearRegressorModel[K])

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. var addIntercept: Boolean

    Definition Classes
    RegressorModel
  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  8. var beta: Vector

    Definition Classes
    LinearRegressorModel
  9. var betas: Array[Vector]

  10. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  11. var degreesFreedom: Int

    Definition Classes
    LinearRegressorModel
  12. var dws: Array[Double]

  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 getTestResult[T](testSymbol: Symbol): Option[T]

    Syntatictic sugar for fetching test results.

    Syntatictic sugar for fetching test results. Will Return test result if it exists, otherwise None

    T

    - The Type

    testSymbol

    - symbol of the test result to fetch, e.g. 'mse

    returns

    Definition Classes
    RegressorModel
  18. def hashCode(): Int

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

    Definition Classes
    Any
  20. var mse: Double

    Definition Classes
    RegressorModel
  21. final def ne(arg0: AnyRef): Boolean

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

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

    Definition Classes
    AnyRef
  24. def predict(drmPredictors: DrmLike[K]): DrmLike[K]

    Definition Classes
    CochraneOrcuttModelRegressorModel
  25. var pval: Vector

    Definition Classes
    LinearRegressorModel
  26. var r2: Double

    Definition Classes
    RegressorModel
  27. var rhos: Array[Double]

  28. var se: Vector

    Definition Classes
    LinearRegressorModel
  29. var summary: String

    Definition Classes
    Model
  30. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  31. var tScore: Vector

    Definition Classes
    LinearRegressorModel
  32. var testResults: Map[Symbol, Any]

    Definition Classes
    SupervisedModel
  33. def toString(): String

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

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

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from LinearRegressorModel[K]

Inherited from RegressorModel[K]

Inherited from SupervisedModel[K]

Inherited from Model

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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