NLP.Scores
- sum :: Num a => [a] -> a
- mean :: (Fractional n, Real a) => [a] -> n
- accuracy :: (Eq a, Fractional n) => [a] -> [a] -> n
- recipRank :: (Eq a, Fractional n) => a -> [a] -> n
- avgPrecision :: (Fractional n, Ord a) => Set a -> [a] -> n
Documentation
sum :: Num a => [a] -> aSource
The sum of a list of numbers (without overflowing stack,
unlike Prelude.sum).
mean :: (Fractional n, Real a) => [a] -> nSource
The mean of a list of numbers.
accuracy :: (Eq a, Fractional n) => [a] -> [a] -> nSource
Accuracy: the proportion of elements in the first list equal to elements at corresponding positions in second list. Lists should be of equal lengths.
recipRank :: (Eq a, Fractional n) => a -> [a] -> nSource
Reciprocal rank: the reciprocal of the rank at which the first arguments occurs in the list given as the second argument.
avgPrecision :: (Fractional n, Ord a) => Set a -> [a] -> nSource
Average precision. http://en.wikipedia.org/wiki/Information_retrieval#Average_precision