LogisticRegressionClassifier

Value Members

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

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

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

   

   Definition Classes

   AnyRef → Any

4. val C: Double

   

   Definition Classes

   LiblinearClassifier

5. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

6. val bias: Boolean

   

   Definition Classes

   LiblinearClassifier

7. def classOf(d: Datum[L, F]): L

   

   Returns the argmax for this datum

   Returns the argmax for this datum

   Definition Classes

   LiblinearClassifier → Classifier

8. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

9. val eps: Double

   

   Definition Classes

   LiblinearClassifier

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

    

    Definition Classes

    AnyRef

11. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

12. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    

    Definition Classes

    AnyRef → Any

14. def getWeights(verbose: Boolean = false): Map[L, Counter[F]]

    

    Definition Classes

    LiblinearClassifier

15. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

16. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

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

    

    Definition Classes

    AnyRef

18. final def notify(): Unit

    

    Definition Classes

    AnyRef

19. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

20. def saveTo(w: Writer): Unit

    

    Saves the current model to a file

    Saves the current model to a file

    Definition Classes

    LiblinearClassifier → Classifier

21. def saveTo(fileName: String): Unit

    

    Saves the current model to a file

    Saves the current model to a file

    Definition Classes

    Classifier

22. def scoresOf(d: Datum[L, F]): Counter[L]

    

    Returns the scores of all possible labels for this datum Convention: if the classifier can return probabilities, these must be probabilities

    Returns the scores of all possible labels for this datum Convention: if the classifier can return probabilities, these must be probabilities

    Definition Classes

    LiblinearClassifier → Classifier

23. val solverType: SolverType

    

    Definition Classes

    LiblinearClassifier

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

    

    Definition Classes

    AnyRef

25. def toString(): String

    

    Definition Classes

    AnyRef → Any

26. def train(dataset: Dataset[L, 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

    LiblinearClassifier → Classifier

27. def train(dataset: Dataset[L, F], spans: Option[Iterable[(Int, Int)]] = None): 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

    Classifier

28. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )