SVMModel

Value Members

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

   

   Definition Classes

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2. final def ##(): Int

   

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

   

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4. val allowedParams: Seq[String]

   

5. var alphabet: Alphabet

   

6. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

7. 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

8. 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

9. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

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

    

    Definition Classes

    BatchModel

11. def createKernel(): CustomKernel

    

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

    

    Definition Classes

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13. def equals(arg0: Any): Boolean

    

    Definition Classes

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14. def finalize(): Unit

    

    Attributes

    protected[java.lang]

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

15. implicit val formats: DefaultFormats.type

    

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

    

    Definition Classes

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17. def hashCode(): Int

    

    Definition Classes

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18. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

19. val kernel: CustomKernel

    

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

    

    Definition Classes

    BatchModel

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

    

    Definition Classes

    AnyRef

22. final def notify(): Unit

    

    Definition Classes

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23. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

24. var svmClassifier: SVMClassifier

    

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

    

    Definition Classes

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26. def toString(): String

    

    Definition Classes

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27. 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

28. final def wait(): Unit

    

    Definition Classes

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

    

    Definition Classes

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

    

    Definition Classes

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    @throws( ... )