StatisticsDecorator

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. 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]

   

   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]

   

   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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