cc.factorie.app.classify.backend

InfoGainSplitting

trait InfoGainSplitting extends AnyRef

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InfoGainSplitting with DecisionTreeTrainer with TensorSumStatsAndLabels
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Type Members

  1. type State = Double

Value Members

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

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

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  3. final def ##(): Int

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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. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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

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  9. def equals(arg0: Any): Boolean

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  10. def evaluateSplittingCriteria(baseEntropy: Double, withFeature: (InfoGainSplitting.this)#MutableBucketStats, withoutFeature: (InfoGainSplitting.this)#MutableBucketStats): Double

  11. def finalize(): Unit

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  12. def getBucketState(instances: Iterable[(InfoGainSplitting.this)#Instance]): Double

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

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  14. def getEntropy(stats: (InfoGainSplitting.this)#BucketStats): Double

  15. def hashCode(): Int

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  16. final def isInstanceOf[T0]: Boolean

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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  20. def samePred(labels: Seq[(InfoGainSplitting.this)#Label]): Boolean

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

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  22. def toString(): String

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  23. final def wait(): Unit

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

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

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