filipg/geval
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Merge branch 'worst-features' of ssh://gonito.net/geval into worst-features

Browse Source
This commit is contained in:
Filip Graliński 2018-08-03 08:24:20 +02:00
commit a3f5f25f69
1 changed files with 19 additions and 9 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

28
src/GEval/LineByLine.hs
View File

@ -71,7 +71,7 @@ runWorstFeatures ordering spec = runLineByLineGeneralized ordering spec consum
consum = (rank (lessByMetric $ gesMainMetric spec)
.| featureExtractor
.| uScoresCounter
.| CL.map (encodeUtf8 . formatFeatureWithZScore)
.| CL.map (encodeUtf8 . formatFeatureWithPValue)
.| CC.unlinesAscii
.| CC.stdout)
formatOutput (LineRecord inp exp out _ score) = Data.Text.intercalate "\t" [
@ -85,12 +85,12 @@ runWorstFeatures ordering spec = runLineByLineGeneralized ordering spec consum
data RankedFeature = RankedFeature Text Double
deriving (Show)
data FeatureWithZScore = FeatureWithZScore Text Double Int
data FeatureWithPValue = FeatureWithPValue Text Double Int
deriving (Show)
formatFeatureWithZScore :: FeatureWithZScore -> Text
formatFeatureWithZScore (FeatureWithZScore f z c) =
f <> " " <> (pack $ show c) <> " " <> (pack $ printf "%0.20f" z)
formatFeatureWithPValue :: FeatureWithPValue -> Text
formatFeatureWithPValue (FeatureWithPValue f p c) =
f <> " " <> (pack $ show c) <> " " <> (pack $ printf "%0.20f" p)
featureExtractor :: Monad m => ConduitT (Double, LineRecord) RankedFeature m ()
featureExtractor = CC.map extract .| CC.concat
@ -101,16 +101,19 @@ featureExtractor = CC.map extract .| CC.concat
extractUnigramFeaturesFromTabbed "in" inLine,
extractUnigramFeatures "out" outLine]
uScoresCounter :: Monad m => ConduitT RankedFeature FeatureWithZScore m ()
uScoresCounter :: Monad m => ConduitT RankedFeature FeatureWithPValue m ()
uScoresCounter = CC.map (\(RankedFeature feature r) -> (feature, (r, 1)))
.| gobbleAndDo countUScores
.| CC.map (\(f, (r, c)) -> FeatureWithZScore f (zscore (r - minusR c) c (2942 - c)) c)
.| gobbleDoAndContinueWithCount
countUScores
(\total -> CC.map (\(f, (r, c)) -> FeatureWithPValue f (pvalue (r - minusR c) c (total - c)) c))
where countUScores l =
M.toList
$ M.fromListWith (\(r1, c1) (r2, c2) -> ((r1 + r2), (c1 + c2))) l
minusR c = (c' * (c' + 1)) / 2.0
where c' = fromIntegral c
zscore u n1 n2 = let n1' = fromIntegral n1
-- calulating p-value from Mann–Whitney U test
-- (normal approximation is used)
pvalue u n1 n2 = let n1' = fromIntegral n1
n2' = fromIntegral n2
mean = n1' * n2' / 2
sigma = sqrt $ n1' * n2' * (n1' + n2' + 1) / 12
@ -141,6 +144,13 @@ gobbleAndDo fun = do
l <- CC.sinkList
CC.yieldMany $ fun l
gobbleDoAndContinueWithCount :: Monad m => ([a] -> [b]) -> (Int -> ConduitT b c m ()) -> ConduitT a c m ()
gobbleDoAndContinueWithCount fun continuation = do
l <- CC.sinkList
let lc = Prelude.length l
(CC.yieldMany $ fun l) .| (continuation lc)
runDiff :: ResultOrdering -> FilePath -> GEvalSpecification -> IO ()
runDiff ordering otherOut spec = runDiffGeneralized ordering otherOut spec consum
where consum :: ConduitT (LineRecord, LineRecord) Void (ResourceT IO) ()