Object/Class

org.apache.flink.ml.classification

SVM

Related Docs: class SVM | package classification

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object SVM

Companion object of SVM. Contains convenience functions and the parameter type definitions of the algorithm.

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

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  2. final def ##(): Int

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

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  4. object Blocks extends Parameter[Int] with Product with Serializable

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  5. object Iterations extends Parameter[Int] with Product with Serializable

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  6. object LocalIterations extends Parameter[Int] with Product with Serializable

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  7. object OutputDecisionFunction extends Parameter[Boolean] with Product with Serializable

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  8. object Regularization extends Parameter[Double] with Product with Serializable

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  9. object Seed extends Parameter[Long] with Product with Serializable

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  10. object Stepsize extends Parameter[Double] with Product with Serializable

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  11. object ThresholdValue extends Parameter[Double] with Product with Serializable

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  12. val WEIGHT_VECTOR_BROADCAST_NAME: String

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  13. def apply(): SVM

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  14. final def asInstanceOf[T0]: T0

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  15. def clone(): AnyRef

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

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  17. def equals(arg0: Any): Boolean

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  18. def finalize(): Unit

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  19. implicit val fitSVM: FitOperation[SVM, LabeledVector]

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    FitOperation which trains a SVM with soft-margin based on the given training data set.

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

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  21. def hashCode(): Int

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  22. final def isInstanceOf[T0]: Boolean

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

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  24. final def notify(): Unit

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  25. final def notifyAll(): Unit

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  26. implicit def predictVectors[T <: Vector]: PredictOperation[SVM, DenseVector, T, Double] { ... /* 4 definitions in type refinement */ }

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    Provides the operation that makes the predictions for individual examples.

    Provides the operation that makes the predictions for individual examples.

    T

    Input data type which is a subtype of Vector

    returns

    A PredictOperation, through which it is possible to predict a value, given a feature vector

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

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  28. def toString(): String

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  29. final def wait(): Unit

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

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

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