SVMModel

Value Members

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

   Definition Classes

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

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3. final def ##(): Int

   Definition Classes

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4. final def ==(arg0: AnyRef): Boolean

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

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6. val allowedParams: Seq[String]

7. var alphabet: Alphabet

8. final def asInstanceOf[T0]: T0

   Definition Classes

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9. def classifyInstances(featureMatrix: FeatureMatrix): Seq[(T, Double)]

   Give a score to every row in the feature matrix, according to the learned weights.

   Give a score to every row in the feature matrix, according to the learned weights.

   featureMatrix

   A feature matrix specified as a list of MatrixRow objects. Each row receives a score from the classifier.

   returns

   A map from source node to (target node, score) pairs, where the score is computed from the features in the feature matrix and the learned weights.

   Definition Classes

   BatchModel

10. def classifyMatrixRow(row: MatrixRow): Double

    Compute score for matrix row according to learned parameters and support vectors which are stored in the svmClassifier

    Compute score for matrix row according to learned parameters and support vectors which are stored in the svmClassifier

    Definition Classes

    SVMModel → BatchModel

11. def clone(): AnyRef

    Attributes

    protected[java.lang]

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12. def convertFeatureMatrixToMallet(featureMatrix: FeatureMatrix, dataset: Dataset[T], featureNames: Seq[String], data: InstanceList, alphabet: Alphabet): Unit

    Definition Classes

    BatchModel

13. def createKernel(): CustomKernel

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

    Definition Classes

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15. def equals(arg0: Any): Boolean

    Definition Classes

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16. def finalize(): Unit

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    protected[java.lang]

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

17. implicit val formats: DefaultFormats.type

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

    Definition Classes

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19. def hashCode(): Int

    Definition Classes

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20. final def isInstanceOf[T0]: Boolean

    Definition Classes

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21. val kernel: CustomKernel

22. def matrixRowToInstance(row: MatrixRow, alphabet: Alphabet): Instance

    Definition Classes

    BatchModel

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

    Definition Classes

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24. final def notify(): Unit

    Definition Classes

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25. final def notifyAll(): Unit

    Definition Classes

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26. var svmClassifier: SVMClassifier

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

    Definition Classes

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28. def toString(): String

    Definition Classes

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29. def train(featureMatrix: FeatureMatrix, dataset: Dataset[T], featureNames: Seq[String]): Unit

    Given a feature matrix and a list of sources and targets that determines whether an instances is positive or negative, train an SVM.

    Given a feature matrix and a list of sources and targets that determines whether an instances is positive or negative, train an SVM.

    Definition Classes

    SVMModel → BatchModel

30. final def wait(): Unit

    Definition Classes

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

    Definition Classes

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

    Definition Classes

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