edu.arizona.sista.learning

LiblinearClassifier

Related Docs: object LiblinearClassifier | package learning

class LiblinearClassifier[L, F] extends Classifier[L, F] with Serializable

Wrapper for liblinear classifiers, which includes LR and linear SVM Note: this only supports classification; it does not support regression by design User: mihais Date: 11/16/13

Linear Supertypes
Serializable, Classifier[L, F], AnyRef, Any
Known Subclasses
LinearSVMClassifier, LogisticRegressionClassifier
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Instance Constructors

  1. new LiblinearClassifier(solverType: SolverType = SolverType.L2R_LR, C: Double = 1.0, eps: Double = 0.01, bias: Boolean = false)

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

  5. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  6. val bias: Boolean

  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

  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]]

  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

  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( ... )

Inherited from Serializable

Inherited from Classifier[L, F]

Inherited from AnyRef

Inherited from Any

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