Object/Class

com.github.jelmerk.knn.scalalike.metrics.dropwizard

StatisticsDecorator

Related Docs: class StatisticsDecorator | package dropwizard

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object StatisticsDecorator extends Serializable

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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. def apply[TId, TVector, TItem <: Item[TId, TVector], TDistance, TApproximativeIndex <: Index[TId, TVector, TItem, TDistance], TGroundTruthIndex <: Index[TId, TVector, TItem, TDistance]](metricRegistry: MetricRegistry, clazz: Class[_], indexName: String, approximativeIndex: TApproximativeIndex, groundTruthIndex: TGroundTruthIndex, maxAccuracySampleFrequency: Int): StatisticsDecorator[TId, TVector, TItem, TDistance, TApproximativeIndex, TGroundTruthIndex]

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    Decorator on top of an index that will collect statistics about the index.

    Decorator on top of an index that will collect statistics about the index. Such as the precision of the results returned by the approximative index compared to a brute force baseline.

    TId

    Type of the external identifier of an item

    TVector

    Type of the vector to perform distance calculation on

    TItem

    Type of items stored in the index

    TDistance

    Type of distance between items (expect any numeric type: float, double, int, ..)

    approximativeIndex

    the approximative index

    groundTruthIndex

    the brute force index

    maxAccuracySampleFrequency

    at most every maxAccuracySampleFrequency requests compare the results of the approximate index with those of the ground truth index to establish the runtime accuracy of the index

    returns

    the StatisticsDecorator

  5. def apply[TId, TVector, TItem <: Item[TId, TVector], TDistance, TApproximativeIndex <: Index[TId, TVector, TItem, TDistance], TGroundTruthIndex <: Index[TId, TVector, TItem, TDistance]](indexName: String, approximativeIndex: TApproximativeIndex, groundTruthIndex: TGroundTruthIndex, maxAccuracySampleFrequency: Int): StatisticsDecorator[TId, TVector, TItem, TDistance, TApproximativeIndex, TGroundTruthIndex]

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    Decorator on top of an index that will collect statistics about the index.

    Decorator on top of an index that will collect statistics about the index. Such as the precision of the results returned by the approximative index compared to a brute force baseline.

    TId

    Type of the external identifier of an item

    TVector

    Type of the vector to perform distance calculation on

    TItem

    Type of items stored in the index

    TDistance

    Type of distance between items (expect any numeric type: float, double, int, ..)

    approximativeIndex

    the approximative index

    groundTruthIndex

    the brute force index

    maxAccuracySampleFrequency

    at most every maxAccuracySampleFrequency requests compare the results of the approximate index with those of the ground truth index to establish the runtime accuracy of the index

    returns

    the StatisticsDecorator

  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 finalize(): Unit

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

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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

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  18. def toString(): String

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

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

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  21. final def wait(): Unit

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