org.pmml4s.transformations

LocalTermWeights

object LocalTermWeights extends Enumeration

- termFrequency: use the number of times the term occurs in the document (x = freqi). - binary: use 1 if the term occurs in the document or 0 if it doesn't (x = χ(freqi)). - logarithmic: take the logarithm (base 10) of 1 + the number of times the term occurs in the document. (x = log(1 + freqi)) - augmentedNormalizedTermFrequency: this formula adds to the binary frequency a "normalized" component expressing the frequency of a term relative to the highest frequency of terms observed in that document (x = 0.5 * (χ(freqi) + (freqi / maxk(freqk))) )

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  1. type LocalTermWeights = Value

  2. class Val extends Value with Serializable

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    @SerialVersionUID( -3501153230598116017L )

  3. abstract class Value extends Ordered[Value] with Serializable

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    @SerialVersionUID( 7091335633555234129L )

  4. class ValueSet extends AbstractSet[Value] with SortedSet[Value] with SortedSetLike[Value, ValueSet] with Serializable

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  6. final def Value(i: Int, name: String): Value

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  7. final def Value(name: String): Value

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  8. final def Value(i: Int): Value

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  9. final def Value: Value

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  10. final def apply(x: Int): Value

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  11. final def asInstanceOf[T0]: T0

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  12. val augmentedNormalizedTermFrequency: Value

  13. val binary: Value

  14. def clone(): AnyRef

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  19. final def isInstanceOf[T0]: Boolean

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  20. val logarithmic: Value

  21. final def maxId: Int

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

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  23. var nextId: Int

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

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  29. val termFrequency: Value

  30. def toString(): String

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  31. def values: ValueSet

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  35. final def withName(s: String): Value

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    (Since version ) see corresponding Javadoc for more information.

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