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🔥 pqGrams.
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{-# LANGUAGE DataKinds, GADTs, RankNTypes, TypeOperators #-}
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{-# LANGUAGE DataKinds, GADTs, RankNTypes, TypeOperators #-}
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module Data.RandomWalkSimilarity
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module Data.RandomWalkSimilarity
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( rws
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( rws
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, pqGrams
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, featureVector
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, featureVector
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, pqGramDecorator
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, pqGramDecorator
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, featureVectorDecorator
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, featureVectorDecorator
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@ -62,11 +61,6 @@ data UnmappedTerm a = UnmappedTerm { termIndex :: {-# UNPACK #-} !Int, feature :
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data Gram label = Gram { stem :: [Maybe label], base :: [Maybe label] }
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data Gram label = Gram { stem :: [Maybe label], base :: [Maybe label] }
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deriving (Eq, Show)
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deriving (Eq, Show)
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-- | Compute the bag of grams with stems of length _p_ and bases of length _q_, with labels computed from annotations, which summarize the entire subtree of a term.
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pqGrams :: Traversable f => (forall b. CofreeF f (Record fields) b -> label) -> Int -> Int -> Cofree f (Record fields) -> DList.DList (Gram label)
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pqGrams getLabel p q = foldMap (pure . getField) . pqGramDecorator getLabel p q
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-- | Compute a vector with the specified number of dimensions, as an approximation of a bag of `Gram`s summarizing a tree.
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-- | Compute a vector with the specified number of dimensions, as an approximation of a bag of `Gram`s summarizing a tree.
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featureVector :: Hashable label => Int -> DList.DList (Gram label) -> Vector.Vector Double
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featureVector :: Hashable label => Int -> DList.DList (Gram label) -> Vector.Vector Double
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featureVector d bag = sumVectors $ unitVector d . hash <$> bag
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featureVector d bag = sumVectors $ unitVector d . hash <$> bag
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