Class

org.maltparserx.ml.liblinear

Liblinear

Related Doc: package liblinear

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class Liblinear extends LearningMethod

Linear Supertypes
LearningMethod, AnyRef, Any
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Instance Constructors

  1. new Liblinear(owner: InstanceModel, learnerMode: Integer)

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. def addInstance(decision: SingleDecision, featureVector: FeatureVector): Unit

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    Definition Classes
    Liblinear → LearningMethod

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  7. def closeInstanceWriter(): Unit

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    Attributes
    protected[org.maltparserx.ml.liblinear]

  8. def decreaseNumberOfInstances(): Unit

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    Definition Classes
    Liblinear → LearningMethod

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

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    Definition Classes
    AnyRef

  10. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  11. def finalize(): Unit

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    Attributes
    protected[org.maltparserx.ml.liblinear]
    Definition Classes
    Liblinear → AnyRef

  12. def finalizeSentence(dependencyGraph: DependencyStructure): Unit

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    Definition Classes
    Liblinear → LearningMethod

  13. def getBias(): Double

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

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    Definition Classes
    AnyRef → Any

  15. def getConfigFileEntry(suffix: String): JarEntry

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    Attributes
    protected[org.maltparserx.ml.liblinear]

  16. def getConfiguration(): DependencyParserConfig

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  17. def getFile(suffix: String): File

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    Attributes
    protected[org.maltparserx.ml.liblinear]

  18. def getInputStreamFromConfigFileEntry(suffix: String): InputStream

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    Attributes
    protected[org.maltparserx.ml.liblinear]

  19. def getInstanceInputStreamReader(suffix: String): InputStreamReader

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    Attributes
    protected[org.maltparserx.ml.liblinear]

  20. def getInstanceInputStreamReaderFromConfigFile(suffix: String): InputStreamReader

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    Attributes
    protected[org.maltparserx.ml.liblinear]

  21. def getInstanceOutputStreamWriter(suffix: String): OutputStreamWriter

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    Attributes
    protected[org.maltparserx.ml.liblinear]

  22. def getInstanceWriter(): BufferedWriter

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    Definition Classes
    Liblinear → LearningMethod

  23. def getLearnerMode(): Int

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  24. def getLearningMethodName(): String

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  25. def getLibLinearOptions(): String

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  26. def getLibLinearParamStringArray(): Array[String]

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  27. def getLiblinearParameters(): Parameter

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  28. def getNumberOfInstances(): Int

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  29. def getOwner(): InstanceModel

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  30. def getParamString(): String

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  31. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  32. def increaseNumberOfInstances(): Unit

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    Definition Classes
    Liblinear → LearningMethod

  33. def initLiblinearOptions(): Unit

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  34. def initSpecialParameters(): Unit

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    Attributes
    protected[org.maltparserx.ml.liblinear]

  35. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  36. def liblinear_predict_with_kbestlist(model: Model, x: Array[FeatureNode], kBestList: KBestList): Unit

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  37. def moveAllInstances(method: LearningMethod, divideFeature: FeatureFunction, divideFeatureIndexVector: ArrayList[Integer]): Unit

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    Definition Classes
    Liblinear → LearningMethod

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

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    Definition Classes
    AnyRef

  39. def noMoreInstances(): Unit

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    Definition Classes
    Liblinear → LearningMethod

  40. final def notify(): Unit

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    Definition Classes
    AnyRef

  41. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  42. def parseParameters(paramstring: String): Unit

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  43. def predict(featureVector: FeatureVector, decision: SingleDecision): Boolean

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    Definition Classes
    Liblinear → LearningMethod

  44. def predictWithFeaturePruning(featureVector: FeatureVector, decision: SingleDecision): Boolean

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  45. def readLibLinearProblem(isr: InputStreamReader, cardinalities: Array[Int]): Problem

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  46. def readLibLinearProblemWithFeaturePruning(isr: InputStreamReader): Problem

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  47. def setLearnerMode(learnerMode: Int): Unit

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  48. def setLearningMethodName(name: String): Unit

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    Attributes
    protected[org.maltparserx.ml.liblinear]

  49. def setNumberOfInstances(numberOfInstances: Int): Unit

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    Attributes
    protected[org.maltparserx.ml.liblinear]

  50. def setOwner(owner: InstanceModel): Unit

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    Attributes
    protected[org.maltparserx.ml.liblinear]

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

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    Definition Classes
    AnyRef

  52. def terminate(): Unit

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    Definition Classes
    Liblinear → LearningMethod

  53. def toString(): String

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    Definition Classes
    Liblinear → AnyRef → Any

  54. def train(featureVector: FeatureVector): Unit

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    Definition Classes
    Liblinear → LearningMethod

  55. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from LearningMethod

Inherited from AnyRef

Inherited from Any

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