L1LinearSVMRegression

Value Members

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

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

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3. final def ==(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

4. val C: Double

   

   Definition Classes

   LiblinearRegression

5. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

6. val bias: Boolean

   

   Definition Classes

   LiblinearRegression

7. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

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   Annotations

   @throws( ... )

8. val eps: Double

   

   Definition Classes

   LiblinearRegression

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

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    @throws( classOf[java.lang.Throwable] )

12. final def getClass(): Class[_]

    

    Definition Classes

    AnyRef → Any

13. def getWeights(verbose: Boolean = false): Counter[F]

    

    Definition Classes

    LiblinearRegression

14. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

15. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

16. final def ne(arg0: AnyRef): Boolean

    

    Definition Classes

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17. final def notify(): Unit

    

    Definition Classes

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18. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

19. val p: Double

    

    Definition Classes

    LiblinearRegression

20. def saveTo(w: Writer): Unit

    

    Saves the current model to a file

    Saves the current model to a file

    Definition Classes

    LiblinearRegression → Regression

21. def saveTo(fileName: String): Unit

    

    Saves the current model to a file

    Saves the current model to a file

    Definition Classes

    Regression

22. def scoreOf(d: Datum[Double, F]): Double

    

    Returns the score for this datum NB: This is not necessarily a probability

    Returns the score for this datum NB: This is not necessarily a probability

    Definition Classes

    LiblinearRegression → Regression

23. val solverType: SolverType

    

    Definition Classes

    LiblinearRegression

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

    

    Definition Classes

    AnyRef

25. def toString(): String

    

    Definition Classes

    AnyRef → Any

26. def train(dataset: RegDataset[F], indices: Array[Int]): Unit

    

    Trains a classifier, using only the datums specified in indices indices is useful for bagging

    Trains a classifier, using only the datums specified in indices indices is useful for bagging

    Definition Classes

    LiblinearRegression → Regression

27. def train(dataset: RegDataset[F], spans: Option[Iterable[(Int, Int)]]): Unit

    

    Trains the classifier on the given dataset spans is useful during cross validation

    Trains the classifier on the given dataset spans is useful during cross validation

    Definition Classes

    Regression

28. def train(dataset: RegDataset[F]): Unit

    

    Definition Classes

    Regression

29. final def wait(): Unit

    

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    @throws( ... )

30. final def wait(arg0: Long, arg1: Int): Unit

    

    Definition Classes

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    @throws( ... )

31. final def wait(arg0: Long): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )