Speed up cartesian features
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@ -1,6 +1,7 @@
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module Main where
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import GEval.Core
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import GEval.Common
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import GEval.OptionsParser
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import GEval.ParseParams
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@ -6,6 +6,8 @@ import Data.Text.Read as TR
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import Data.Attoparsec.Text
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type MetricValue = Double
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-- some operations can be "hard" (on ints) or "soft" (on doubles),
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-- introduce a typeclass so that we could generalise easily
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class ConvertibleToDouble n where
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@ -14,7 +14,6 @@ module GEval.Core
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Metric(..),
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MetricOrdering(..),
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getMetricOrdering,
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MetricValue,
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GEvalSpecialCommand(..),
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GEvalSpecification(..),
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ResultOrdering(..),
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@ -100,8 +99,6 @@ import Data.Word
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import System.FilePath.Glob
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type MetricValue = Double
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defaultLogLossHashedSize :: Word32
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defaultLogLossHashedSize = 10
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@ -1,10 +1,12 @@
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{-# LANGUAGE OverloadedStrings #-}
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module GEval.FeatureExtractor
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(extractFeatures,
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extractFeaturesFromTabbed,
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cartesianFeatures,
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LineWithFeatures(..),
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LineWithPeggedFeatures(..),
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PeggedFeature(..),
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Feature(..))
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where
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@ -16,6 +18,9 @@ import Text.WordShape
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import GEval.BlackBoxDebugging
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import GEval.Common
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data LineWithFeatures = LineWithFeatures Double MetricValue [Feature]
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deriving (Eq, Ord)
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data Feature = UnaryFeature PeggedFeature | CartesianFeature PeggedFeature PeggedFeature
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deriving (Eq, Ord)
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@ -23,6 +28,9 @@ instance Show Feature where
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show (UnaryFeature feature) = show feature
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show (CartesianFeature featureA featureB) = (show featureA) ++ "~~" ++ (show featureB)
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data LineWithPeggedFeatures = LineWithPeggedFeatures Double MetricValue [PeggedFeature]
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deriving (Eq, Ord)
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data PeggedFeature = PeggedFeature FeatureNamespace SimpleFeature
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deriving (Eq, Ord)
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@ -81,5 +89,11 @@ extractFeaturesFromTabbed mTokenizer bbdo namespace record =
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$ Prelude.map (\(n, t) -> Prelude.map (\af -> PeggedFeature (FeatureTabbedNamespace namespace n) af) $ extractSimpleFeatures mTokenizer bbdo t)
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$ Prelude.zip [1..] (splitOn "\t" record)
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addCartesianFeatures :: BlackBoxDebuggingOptions -> [LineWithPeggedFeatures] -> [LineWithFeatures]
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addCartesianFeatures bbdo linesWithPeggedFeatures = addCartesianFeatures' (bbdoCartesian bbdo) linesWithPeggedFeatures
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where addCartesianFeatures' _ linesWithPeggedFeatures
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= Prelude.map (\(LineWithPeggedFeatures rank score fs) ->
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LineWithFeatures rank score (Prelude.map UnaryFeature fs)) linesWithPeggedFeatures
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cartesianFeatures :: [PeggedFeature] -> [Feature]
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cartesianFeatures features = nub $ [CartesianFeature a b | a <- features, b <- features, a < b]
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@ -20,6 +20,7 @@ module GEval.LineByLine
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) where
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import GEval.Core
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import GEval.Common
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import Text.Tokenizer
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import Data.Conduit.AutoDecompress (doNothing)
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@ -56,6 +57,7 @@ import Statistics.Distribution (cumulative)
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import Statistics.Distribution.Normal (normalDistr)
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import qualified Data.Map.Strict as M
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import qualified Data.Set as S
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data LineRecord = LineRecord Text Text Text Word32 MetricValue
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deriving (Eq, Show)
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@ -125,18 +127,36 @@ formatFeatureWithPValue (FeatureWithPValue f p avg c) =
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(pack $ printf "%0.20f" p)]
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featureExtractor :: Monad m => GEvalSpecification -> BlackBoxDebuggingOptions -> ConduitT (Double, LineRecord) RankedFeature m ()
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featureExtractor spec bbdo = CC.map extract .| CC.concat
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featureExtractor spec bbdo = CC.map extract
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.| finalFeatures (bbdoCartesian bbdo) (bbdoMinFrequency bbdo)
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.| CC.map unwrapFeatures
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.| CC.concat
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where extract (rank, line@(LineRecord _ _ _ _ score)) =
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Prelude.map (\f -> RankedFeature f rank score)
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$ getFeatures mTokenizer bbdo line
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LineWithPeggedFeatures rank score $ getFeatures mTokenizer bbdo line
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mTokenizer = gesTokenizer spec
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unwrapFeatures (LineWithFeatures rank score fs) = Prelude.map (\f -> RankedFeature f rank score) fs
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getFeatures :: Maybe Tokenizer -> BlackBoxDebuggingOptions -> LineRecord -> [Feature]
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getFeatures mTokenizer bbdo (LineRecord inLine expLine outLine _ _) = Prelude.map UnaryFeature unaryFeatures ++
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if bbdoCartesian bbdo
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then cartesianFeatures unaryFeatures
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else []
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where unaryFeatures =
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finalFeatures False _ = CC.map peggedToUnaryLine
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finalFeatures True minFreq = do
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ls <- CC.sinkList
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let unaryFeaturesFrequentEnough = S.fromList
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$ Prelude.map (\(f, c) -> f)
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$ Prelude.filter (\(f, c) -> c >= minFreq)
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$ M.toList
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$ M.fromListWith (+)
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$ Data.List.concat
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$ Prelude.map (\(LineWithPeggedFeatures _ _ fs) -> Prelude.map (\f -> (f, 1)) fs) ls
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(CC.yieldMany $ ls) .| CC.map (addCartesian unaryFeaturesFrequentEnough)
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where addCartesian wanted (LineWithPeggedFeatures rank score fs) = LineWithFeatures rank score
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$ ((Prelude.map UnaryFeature fs) ++
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(cartesianFeatures $ Prelude.filter ((flip S.member) wanted) fs))
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peggedToUnaryLine :: LineWithPeggedFeatures -> LineWithFeatures
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peggedToUnaryLine (LineWithPeggedFeatures rank score fs) = LineWithFeatures rank score (Prelude.map UnaryFeature fs)
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getFeatures :: Maybe Tokenizer -> BlackBoxDebuggingOptions -> LineRecord -> [PeggedFeature]
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getFeatures mTokenizer bbdo (LineRecord inLine expLine outLine _ _) =
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Data.List.concat [
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extractFeatures mTokenizer bbdo "exp" expLine,
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extractFeaturesFromTabbed mTokenizer bbdo "in" inLine,
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@ -23,6 +23,7 @@ import Data.String.Here
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import Data.Monoid ((<>))
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import GEval.Core
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import GEval.Common
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import GEval.CreateChallenge
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import GEval.LineByLine
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import GEval.Submit (submit)
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@ -4,6 +4,7 @@
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import Test.Hspec
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import GEval.Core
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import GEval.Common
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import GEval.OptionsParser
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import GEval.BLEU
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import GEval.ClippEU
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