com.github.jelmerk.knn.scalalike.metrics.dropwizard
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.
Type of the external identifier of an item
Type of the vector to perform distance calculation on
Type of items stored in the index
Type of distance between items (expect any numeric type: float, double, int, ..)
the approximative index
the brute force index
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
the StatisticsDecorator
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.
Type of the external identifier of an item
Type of the vector to perform distance calculation on
Type of items stored in the index
Type of distance between items (expect any numeric type: float, double, int, ..)
the approximative index
the brute force index
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
the StatisticsDecorator