Class

stm.clustering.strategy

LinearEntropyClassificationStrategy

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class LinearEntropyClassificationStrategy extends MeasurementEntropyClassificationStrategyBase

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  1. LinearEntropyClassificationStrategy
  2. MeasurementEntropyClassificationStrategyBase
  3. MetricClassificationStrategyBase
  4. Serializable
  5. Serializable
  6. Product
  7. Equals
  8. ClassificationStrategy
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Visibility
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Instance Constructors

  1. new LinearEntropyClassificationStrategy(branchThreshold: Int = 20, smoothingFactor: Double = 1, factor_0: Double = 0.1, factor_1: Double = 1, factor_2: Double = 1, minEntropy: Double = Double.NegativeInfinity, forceDepth: Int = 0, maxDepth: Int)

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Value Members

  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. final def asInstanceOf[T0]: T0

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  5. val branchThreshold: Int

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  6. def clone(): AnyRef

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    @throws( ... )
  7. final def eq(arg0: AnyRef): Boolean

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  8. val factor_0: Double

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  9. val factor_1: Double

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  10. val factor_2: Double

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  11. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )
  12. def fitness(left: Map[String, Int], right: Map[String, Int], exceptions: Map[String, Int], ruleName: String, depth: Int): PartitionFitness

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  13. val forceDepth: Int

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

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  15. def getRule(pages: Stream[Page], depth: Int): RuleData

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  16. final def isInstanceOf[T0]: Boolean

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  17. val maxDepth: Int

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  18. val minEntropy: Double

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  19. def mix(self_entropy: Double, cross_entropy_1: Double, cross_entropy_2: Double, marginal_entropy: Double): Double

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

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  21. final def notify(): Unit

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  22. final def notifyAll(): Unit

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  23. val singleClass: Boolean

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  24. def split(buffer: PageTree)(implicit ctx: STMTxnCtx): Boolean

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

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  26. final def wait(): Unit

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    @throws( ... )
  27. final def wait(arg0: Long, arg1: Int): Unit

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

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Inherited from Serializable

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Inherited from Product

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Inherited from ClassificationStrategy

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