incorporate changes
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welp
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@ -113,6 +113,7 @@ import GEval.Annotation
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import GEval.BlackBoxDebugging
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import Data.Conduit.Bootstrap
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import GEval.DataSource
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import GEval.MatchingSpecification
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import qualified Data.HashMap.Strict as M
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import qualified Data.Vector as V
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@ -522,7 +523,7 @@ singleLineAsLineSource (LineInFile sourceSpec lineNo line) itemDecoder preproces
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-- some metrics are handled by Bootstrap due to legacy issues,
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-- fix on the way
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handleBootstrap :: Metric -> Bool
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handleBootstrap (Mean (MultiLabelFMeasure _)) = True
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handleBootstrap (Mean (MultiLabelFMeasure _ _)) = True
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handleBootstrap (Mean _) = False
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handleBootstrap CharMatch = False
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handleBootstrap (LogLossHashed _) = False
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@ -567,13 +568,16 @@ gevalBootstrapOnSources :: (MonadIO m, MonadThrow m, MonadUnliftIO m) =>
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-> m (MetricOutput) -- ^ metric values for the output against the expected output
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-- for the time being hardcoded
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gevalBootstrapOnSources numberOfSamples (Mean (MultiLabelFMeasure beta)) lsSpec = do
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gevalBootstrapOnSources numberOfSamples (Mean (MultiLabelFMeasure beta matchingSpec)) lsSpec = do
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gevalRunPipeline parserSpec (trans step) finalPipeline context
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where parserSpec = (ParserSpecWithoutInput (liftOp expParser) (liftOp outParser))
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context = fromSpecificationToWithoutInput lsSpec
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step = itemStep SAMultiLabelFMeasure
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expParser = expectedParser SAMultiLabelFMeasure
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outParser = outputParser SAMultiLabelFMeasure
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step = case toSing matchingSpec of
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SomeSing s -> itemStep (SAMultiLabelFMeasure s)
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expParser = case toSing matchingSpec of
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SomeSing s -> expectedParser (SAMultiLabelFMeasure s)
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outParser = case toSing matchingSpec of
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SomeSing s -> outputParser (SAMultiLabelFMeasure s)
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finalPipeline = fixer (
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CL.map (fMeasureOnCounts beta)
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.| (bootstrapC numberOfSamples
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@ -630,10 +634,10 @@ gevalCoreOnSources (LogLossHashed nbOfBits) = helperLogLossHashed nbOfBits id
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gevalCoreOnSources (LikelihoodHashed nbOfBits) = helperLogLossHashed nbOfBits logLossToLikehood
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gevalCoreOnSources (Mean (MultiLabelFMeasure beta))
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gevalCoreOnSources (Mean (MultiLabelFMeasure beta matchingSpec))
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= gevalCoreWithoutInputOnItemTargets (Right . intoWords)
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(Right . getWords)
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((fMeasureOnCounts beta) . (getCounts (==)))
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((fMeasureOnCounts beta) . (getWeightedCounts (getMatchingFunctionForString matchingSpec)))
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averageC
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id
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noGraph
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@ -661,9 +665,10 @@ gevalCoreOnSources (Mean WER)
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gevalCoreOnSources (Mean _) = error $ "Mean/ meta-metric defined only for MultiLabel-F1 and WER for the time being"
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-- only MultiLabel-F1 handled for JSONs for the time being...
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gevalCoreOnSources (MultiLabelFMeasure beta) = gevalCoreWithoutInputOnItemTargets (Right . intoWords)
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gevalCoreOnSources (MultiLabelFMeasure beta matchingSpec) =
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gevalCoreWithoutInputOnItemTargets (Right . intoWords)
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(Right . getWords)
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(getCounts (==))
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(getWeightedCounts (getMatchingFunctionForString matchingSpec))
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countAgg
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(fMeasureOnCounts beta)
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noGraph
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@ -848,12 +853,13 @@ gevalRunPipeline' parserSpec itemStep finalPipeline context = do
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continueGEvalCalculations :: (MonadIO m) =>
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continueGEvalCalculations :: forall m t . (MonadIO m) =>
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SAMetric t
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-> Metric
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-> ConduitT (ItemIntermediateRepresentationType t) Void (ResourceT m) MetricOutput
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continueGEvalCalculations SAMultiLabelFMeasure (MultiLabelFMeasure beta) = defineContinuation countAgg (fMeasureOnCounts beta) noGraph
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continueGEvalCalculations (SAMultiLabelFMeasure matchingSpec) (MultiLabelFMeasure beta matchingSpec')
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= defineContinuation countAgg (fMeasureOnCounts beta) noGraph
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continueGEvalCalculations SALikelihood Likelihood = defineContinuation averageC logLossToLikehood noGraph
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@ -10,6 +10,7 @@ import GEval.EvaluationScheme
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import GEval.Common (GEvalException(..), FormattingOptions(..))
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import GEval.Core (GEvalSpecification(..), configFileName, gesMainMetric, defaultTestName)
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import GEval.Submit (tokenFileName)
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import GEval.MatchingSpecification (MatchingSpecification(ExactMatch))
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import qualified System.Directory as D
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import Control.Conditional (whenM)
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@ -334,8 +335,8 @@ character (inclusively).
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|] ++ (commonReadmeMDContents testName)
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readmeMDContents (ProbabilisticMultiLabelFMeasure beta) testName = readmeMDContents (MultiLabelFMeasure beta) testName
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readmeMDContents (MultiLabelFMeasure beta) testName = [i|
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readmeMDContents (ProbabilisticMultiLabelFMeasure beta) testName = readmeMDContents (MultiLabelFMeasure beta ExactMatch) testName
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readmeMDContents (MultiLabelFMeasure beta _) testName = [i|
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Tag names and their component
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=============================
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@ -535,8 +536,8 @@ trainContents TokenAccuracy = [hereLit|* V N I like cats
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trainContents SegmentAccuracy = [hereLit|Art:1-3 N:5-11 V:12-13 A:15-19 The student's smart
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N:1-6 N:8-10 V:12-13 A:15-18 Mary's dog is nice
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|]
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trainContents (ProbabilisticMultiLabelFMeasure beta) = trainContents (MultiLabelFMeasure beta)
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trainContents (MultiLabelFMeasure _) = [hereLit|I know Mr John Smith person/3,4,5 first-name/4 surname/5
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trainContents (ProbabilisticMultiLabelFMeasure beta) = trainContents (MultiLabelFMeasure beta ExactMatch)
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trainContents (MultiLabelFMeasure _ _) = [hereLit|I know Mr John Smith person/3,4,5 first-name/4 surname/5
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Steven bloody Brown person/1,3 first-name/1 surname/3
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James and James first-name/1 firstname/3
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|]
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@ -608,8 +609,8 @@ Ala has a cat
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devInContents SegmentAccuracy = [hereLit|John is smart
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Mary's intelligent
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|]
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devInContents (ProbabilisticMultiLabelFMeasure beta) = devInContents (MultiLabelFMeasure beta)
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devInContents (MultiLabelFMeasure _) = [hereLit|Jan Kowalski is here
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devInContents (ProbabilisticMultiLabelFMeasure beta) = devInContents (MultiLabelFMeasure beta ExactMatch)
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devInContents (MultiLabelFMeasure _ _) = [hereLit|Jan Kowalski is here
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I see him
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Barbara
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|]
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@ -676,8 +677,8 @@ N V * N
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devExpectedContents SegmentAccuracy = [hereLit|N:1-4 V:6-7 A:9-13
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N:1-4 V:6-7 A:9-19
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|]
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devExpectedContents (ProbabilisticMultiLabelFMeasure beta) = devExpectedContents (MultiLabelFMeasure beta)
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devExpectedContents (MultiLabelFMeasure _) = [hereLit|person/1,2 first-name/1 surname/2
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devExpectedContents (ProbabilisticMultiLabelFMeasure beta) = devExpectedContents (MultiLabelFMeasure beta ExactMatch)
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devExpectedContents (MultiLabelFMeasure _ _) = [hereLit|person/1,2 first-name/1 surname/2
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first-name/1
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|]
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@ -749,8 +750,8 @@ I know
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testInContents SegmentAccuracy = [hereLit|Mary's cat is old
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John is young
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|]
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testInContents (ProbabilisticMultiLabelFMeasure beta) = testInContents (MultiLabelFMeasure beta)
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testInContents (MultiLabelFMeasure _) = [hereLit|John bloody Smith
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testInContents (ProbabilisticMultiLabelFMeasure beta) = testInContents (MultiLabelFMeasure beta ExactMatch)
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testInContents (MultiLabelFMeasure _ _) = [hereLit|John bloody Smith
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Nobody is there
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I saw Marketa
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|]
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@ -818,8 +819,8 @@ testExpectedContents TokenAccuracy = [hereLit|* V N
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testExpectedContents SegmentAccuracy = [hereLit|N:1-6 N:8-10 V:12-13 A:15-17
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N:1-4 V:6-7 A:9-13
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|]
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testExpectedContents (ProbabilisticMultiLabelFMeasure beta) = testExpectedContents (MultiLabelFMeasure beta)
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testExpectedContents (MultiLabelFMeasure _) = [hereLit|person/1,3 first-name/1 surname/3
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testExpectedContents (ProbabilisticMultiLabelFMeasure beta) = testExpectedContents (MultiLabelFMeasure beta ExactMatch)
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testExpectedContents (MultiLabelFMeasure _ _) = [hereLit|person/1,3 first-name/1 surname/3
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first-name/3
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|]
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@ -877,8 +878,8 @@ inHeaderContents BIOF1Labels = inHeaderContents BIOF1
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inHeaderContents BIOF1 = Just ["Text"]
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inHeaderContents TokenAccuracy = Just ["TokenizedText"]
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inHeaderContents SegmentAccuracy = Just ["Segment"]
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inHeaderContents (ProbabilisticMultiLabelFMeasure beta) = inHeaderContents (MultiLabelFMeasure beta)
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inHeaderContents (MultiLabelFMeasure _) = Just ["Text"]
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inHeaderContents (ProbabilisticMultiLabelFMeasure beta) = inHeaderContents (MultiLabelFMeasure beta ExactMatch)
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inHeaderContents (MultiLabelFMeasure _ _) = Just ["Text"]
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inHeaderContents MultiLabelLikelihood = inHeaderContents MultiLabelLogLoss
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inHeaderContents MultiLabelLogLoss = Just ["Utterance"]
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inHeaderContents (Soft2DFMeasure _) = inHeaderContents ClippEU
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@ -905,8 +906,8 @@ outHeaderContents BIOF1Labels = outHeaderContents BIOF1
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outHeaderContents BIOF1 = Just ["BIOOutput"]
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outHeaderContents TokenAccuracy = Just ["PartsOfSpeech"]
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outHeaderContents SegmentAccuracy = Just ["PartsOfSpeech"]
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outHeaderContents (ProbabilisticMultiLabelFMeasure beta) = outHeaderContents (MultiLabelFMeasure beta)
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outHeaderContents (MultiLabelFMeasure _) = Just ["Entities"]
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outHeaderContents (ProbabilisticMultiLabelFMeasure beta) = outHeaderContents (MultiLabelFMeasure beta ExactMatch)
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outHeaderContents (MultiLabelFMeasure _ _) = Just ["Entities"]
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outHeaderContents MultiLabelLikelihood = outHeaderContents MultiLabelLogLoss
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outHeaderContents MultiLabelLogLoss = Just ["Emotion"]
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outHeaderContents (Soft2DFMeasure _) = Just ["Rectangle"]
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