edu.arizona.sista.learning

LibSVMClassifier

Related Docs: object LibSVMClassifier | package learning

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

Modified from mihais's Liblinear wrapper by dfried on 5/2/14

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Serializable, Classifier[L, F], AnyRef, Any
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Instance Constructors

  1. new LibSVMClassifier(kernelType: KernelType, degree: Int = 3, gamma: Double = 0, coef0: Double = 0, C: Double = 1, eps: Double = 1e-3, shrinking: Boolean = true, probability: Boolean = true, cacheSize: Int = 100)

  2. new LibSVMClassifier(parameters: svm_parameter)

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. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  5. def classOf(d: Datum[L, F]): L

    Returns the argmax for this datum

    Returns the argmax for this datum

    Definition Classes
    LibSVMClassifierClassifier
  6. def clone(): AnyRef

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

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

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

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

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

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

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

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

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

    Definition Classes
    AnyRef
  16. val parameters: svm_parameter

  17. def saveTo(fn: String): Unit

    Saves the current model to a file

    Saves the current model to a file

    Definition Classes
    LibSVMClassifierClassifier
  18. def saveTo(writer: Writer): Unit

    Saves the current model to a file

    Saves the current model to a file

    Definition Classes
    LibSVMClassifierClassifier
  19. 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
    LibSVMClassifierClassifier
  20. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  21. def toString(): String

    Definition Classes
    AnyRef → Any
  22. 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
    LibSVMClassifierClassifier
  23. 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
  24. final def wait(): Unit

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  26. 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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