log probs

src/GEval/CreateChallenge.hs

@@ -125,8 +125,12 @@ must be given:
 where *logprobi* is the logarithm of the probability for *wordi* and
 *logprob0* is the logarithm of the probability mass for all the other
 words (it will be spread between all 1024 fingerprint values). If the
-respective probabilities do not sum up to 1, they will be normalised with
+respective probabilities do not sum up to 1:
-softmax.
+
+  * if the sum is larger than 0.0 and smaller than 1.0, and no logprob0
+    is given, log of the remaining probablity mass will be assigned to logprob0,
+  * otherwise they will be normalised with.
+softmax
 
 Note: the separator here is space, not TAB!
 

src/GEval/LogLossHashed.hs

@@ -61,6 +61,7 @@ data WordSpecWithLogProb = WordSpecWithLogProb WordSpec Double
 
 parseDistributionFromWordList :: Word32 -> Word32 -> T.Text -> Either String HashedDistribution
 parseDistributionFromWordList nbOfBits seed distroSpec = (parseDistributionFromWordList' nbOfBits seed) =<<
+  normalizeLogProbs =<<
   lookForProbs =<<
   (processEithers $ map getWordSpecWithLogProb $ T.splitOn " " distroSpec)
 
@@ -99,6 +100,17 @@ areProbs specs = all isProb specs && any isPositiveProb specs
 toLogProbs :: [WordSpecWithLogProb] -> [WordSpecWithLogProb]
 toLogProbs = map (\(WordSpecWithLogProb w p) -> (WordSpecWithLogProb w (log p)))
 
+normalizeLogProbs :: [WordSpecWithLogProb] -> Either String [WordSpecWithLogProb]
+normalizeLogProbs specs = if isProbTotalIncorrect probTotal
+                             && probTotal < 1.0 && probTotal > 0.0
+                             && not (any (\(WordSpecWithLogProb w _) -> isAnyWord w) specs)
+                             && all (\(WordSpecWithLogProb _ lp) -> lp <= 0) specs
+                          then
+                            Right ((WordSpecWithLogProb AnyWord (log (1-probTotal))):specs)
+                          else
+                            Right specs
+  where probTotal = sum $ map (\(WordSpecWithLogProb _ logp) -> exp logp) specs
+
 normalizeProbs :: [WordSpecWithLogProb] -> [WordSpecWithLogProb]
 normalizeProbs specs = if isProbTotalIncorrect probTotal
                          then

test/Spec.hs

@@ -100,6 +100,9 @@ main = hspec $ do
       runGEvalTest "log-loss-hashed-probs" `shouldReturnAlmost` 4.11631293099392
     it "with probs instead of log probs (with normalization)" $ do
       runGEvalTest "log-loss-hashed-probs-normalized" `shouldReturnAlmost` 1.55537749098853
+    it "with log probs whose probs are summing up to less than 1.0" $ do
+      runGEvalTest "log-loss-hashed-normalization" `shouldReturnAlmost` 5.16395069238851
+
   describe "reading options" $ do
     it "can get the metric" $ do
       extractMetric "bleu-complex" `shouldReturn` (Just BLEU)

test/log-loss-hashed-normalization/log-loss-hashed-normalization-solution/test-A/out.tsv

@@ -0,0 +1,3 @@
+B:-1.20397280432594 A:-0.916290731874155
+A:-2.3025850929940 C:-1.6094379124341
+A:-2.3025850929940 C:-1.6094379124341 :-0.356674943938732

test/log-loss-hashed-normalization/log-loss-hashed-normalization/config.txt

@@ -0,0 +1 @@
+--metric LogLossHashed10

test/log-loss-hashed-normalization/log-loss-hashed-normalization/test-A/expected.tsv

@@ -0,0 +1,3 @@
+A
+B
+B