cc.factorie.app.classify.backend

SVMMulticlassTrainer

class SVMMulticlassTrainer extends MulticlassClassifierTrainer[LinearMulticlassClassifier]

Linear Supertypes
MulticlassClassifierTrainer[LinearMulticlassClassifier], BaseLinearTrainer[la.Tensor1, la.Tensor1, Int, LinearMulticlassClassifier], AnyRef, Any
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. SVMMulticlassTrainer
  2. MulticlassClassifierTrainer
  3. BaseLinearTrainer
  4. AnyRef
  5. Any
  1. Hide All
  2. Show all
Learn more about member selection
Visibility
  1. Public
  2. All

Instance Constructors

  1. new SVMMulticlassTrainer(nThreads: Int = 1, l2: Double = 0.1)(implicit random: Random)

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  7. def baseTrain(classifier: LinearMulticlassClassifier, labels: Seq[Int], features: Seq[la.Tensor1], weights: Seq[Double], evaluate: (LinearMulticlassClassifier) ⇒ Unit): Unit

    Estimate the parameters of a classifier that has already been created.

    Estimate the parameters of a classifier that has already been created.

    Definition Classes
    SVMMulticlassTrainer → BaseLinearTrainer

  8. def clone(): AnyRef

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

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

    Definition Classes
    AnyRef

  10. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  11. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  13. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  14. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  16. def newModel(featureSize: Int, labelSize: Int): LinearMulticlassClassifier

    Definition Classes
    SVMMulticlassTrainer → BaseLinearTrainer

  17. final def notify(): Unit

    Definition Classes
    AnyRef

  18. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  19. implicit val random: Random

  20. final def simpleTrain(labelSize: Int, featureSize: Int, labels: Seq[Int], features: Seq[la.Tensor1], weights: Seq[Double], evaluate: (LinearMulticlassClassifier) ⇒ Unit): LinearMulticlassClassifier

    Create a Classifier and estimate its parameters.

    Create a Classifier and estimate its parameters.

    Definition Classes
    BaseLinearTrainer

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

    Definition Classes
    AnyRef

  22. def toString(): String

    Definition Classes
    AnyRef → Any

  23. def train[Label <: LabeledDiscreteVar](classifier: LinearMulticlassClassifier, labels: Seq[Label], l2f: (Label) ⇒ VectorVar, l2w: (Label) ⇒ Double): Unit

    Definition Classes
    MulticlassClassifierTrainer

  24. def train[Label <: LabeledDiscreteVar](classifier: LinearMulticlassClassifier, labels: Seq[Label], l2f: (Label) ⇒ VectorVar, testLabels: Seq[Label], l2w: (Label) ⇒ Double = (l: Label) => 1.0): Unit

    Definition Classes
    MulticlassClassifierTrainer

  25. def train(classifier: LinearMulticlassClassifier, labels: Seq[LabeledDiscreteVar], features: Seq[VectorVar], evaluate: (LinearMulticlassClassifier) ⇒ Unit): Unit

    Definition Classes
    MulticlassClassifierTrainer

  26. def train(classifier: LinearMulticlassClassifier, labels: Seq[LabeledDiscreteVar], features: Seq[VectorVar], weights: Seq[Double], evaluate: (LinearMulticlassClassifier) ⇒ Unit): Unit

    Definition Classes
    MulticlassClassifierTrainer

  27. def train(classifier: LinearMulticlassClassifier, labels: Seq[LabeledDiscreteVar], features: Seq[VectorVar]): Unit

    Definition Classes
    MulticlassClassifierTrainer

  28. def train(classifier: LinearMulticlassClassifier, labels: Seq[LabeledDiscreteVar], features: Seq[VectorVar], weights: Seq[Double]): Unit

    Definition Classes
    MulticlassClassifierTrainer

  29. def train(classifier: LinearMulticlassClassifier, labels: Seq[LabeledDiscreteVar], features: Seq[VectorVar], testLabels: Seq[LabeledDiscreteVar], testFeatures: Seq[TensorVar]): Unit

    Definition Classes
    MulticlassClassifierTrainer

  30. def train(classifier: LinearMulticlassClassifier, labels: Seq[LabeledDiscreteVar], features: Seq[VectorVar], weights: Seq[Double], testLabels: Seq[LabeledDiscreteVar], testFeatures: Seq[TensorVar]): Unit

    Definition Classes
    MulticlassClassifierTrainer

  31. def train[Label <: LabeledDiscreteVar](labels: Seq[Label], l2f: (Label) ⇒ VectorVar, l2w: (Label) ⇒ Double): LinearMulticlassClassifier

    Definition Classes
    MulticlassClassifierTrainer

  32. def train[Label <: LabeledDiscreteVar](labels: Seq[Label], l2f: (Label) ⇒ VectorVar, testLabels: Seq[Label], l2w: (Label) ⇒ Double = (l: Label) => 1.0): LinearMulticlassClassifier

    Definition Classes
    MulticlassClassifierTrainer

  33. def train(labels: Seq[LabeledDiscreteVar], features: Seq[VectorVar], evaluate: (LinearMulticlassClassifier) ⇒ Unit): LinearMulticlassClassifier

    Definition Classes
    MulticlassClassifierTrainer

  34. def train(labels: Seq[LabeledDiscreteVar], features: Seq[VectorVar], weights: Seq[Double], evaluate: (LinearMulticlassClassifier) ⇒ Unit): LinearMulticlassClassifier

    Definition Classes
    MulticlassClassifierTrainer

  35. def train(labels: Seq[LabeledDiscreteVar], features: Seq[VectorVar]): LinearMulticlassClassifier

    Definition Classes
    MulticlassClassifierTrainer

  36. def train(labels: Seq[LabeledDiscreteVar], features: Seq[VectorVar], weights: Seq[Double]): LinearMulticlassClassifier

    Definition Classes
    MulticlassClassifierTrainer

  37. def train(labels: Seq[LabeledDiscreteVar], features: Seq[VectorVar], testLabels: Seq[LabeledDiscreteVar], testFeatures: Seq[TensorVar]): LinearMulticlassClassifier

    Definition Classes
    MulticlassClassifierTrainer

  38. def train(labels: Seq[LabeledDiscreteVar], features: Seq[VectorVar], weights: Seq[Double], testLabels: Seq[LabeledDiscreteVar], testFeatures: Seq[TensorVar]): LinearMulticlassClassifier

    Definition Classes
    MulticlassClassifierTrainer

  39. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from MulticlassClassifierTrainer[LinearMulticlassClassifier]

Inherited from BaseLinearTrainer[la.Tensor1, la.Tensor1, Int, LinearMulticlassClassifier]

Inherited from AnyRef

Inherited from Any

Ungrouped