2 Module : Gargantext.Text.Metrics.FrequentItemSet
3 Description : Ngrams tools
4 Copyright : (c) CNRS, 2018
5 License : AGPL + CECILL v3
6 Maintainer : team@gargantext.org
7 Stability : experimental
10 Domain Specific Language to manage Frequent Item Set (FIS)
14 {-# LANGUAGE NoImplicitPrelude #-}
16 module Gargantext.Text.Metrics.FrequentItemSet
29 import Prelude (Functor(..)) -- TODO
30 import qualified Data.Map.Strict as Map
31 import Data.Map.Strict (Map)
32 import qualified Data.Set as Set
34 import qualified Data.Vector as V
35 import Data.Vector (Vector)
37 import Data.List (filter, concat)
38 import Data.Maybe (catMaybes)
42 import Gargantext.Prelude
44 data Size = Point Int | Segment Int Int
46 ------------------------------------------------------------------------
47 -- | Occurrence is Frequent Item Set of size 1
48 occ_hlcm :: Frequency -> [[Item]] -> [Fis]
49 occ_hlcm = fisWithSize (Point 1)
51 -- | Cooccurrence is Frequent Item Set of size 2
52 cooc_hlcm :: Frequency -> [[Item]] -> [Fis]
53 cooc_hlcm = fisWithSize (Point 2)
55 all :: Frequency -> [[Item]] -> [Fis]
58 ------------------------------------------------------------------------
59 between :: (Int, Int) -> Frequency -> [[Item]] -> [Fis]
60 between (x,y) = fisWithSize (Segment x y)
62 --maximum :: Int -> Frequency -> [[Item]] -> [Fis]
63 --maximum m = between (0,m)
66 ------------------------------------------------------------------------
67 ------------------------------------------------------------------------
68 -- | Data type to type the Frequent Item Set
69 -- TODO replace List with Set in fisItemSet
70 -- be careful : risks to erase HLCM behavior
72 data Fis' a = Fis' { _fisCount :: Int
76 instance Functor Fis' where
77 fmap f (Fis' c is) = Fis' c (fmap f is)
79 -- | Sugar from items to FIS
80 items2fis :: [Item] -> Maybe Fis
81 items2fis [] = Nothing
82 items2fis (i:is) = Just $ Fis' i is
84 ------------------------------------------------------------------------
85 ------------------------------------------------------------------------
87 fisWithSize :: Size -> Frequency -> [[Item]] -> [Fis]
88 fisWithSize n f is = case n of
89 Point n' -> fisWith (Just (\x -> length x == (n'+1) )) f is
90 Segment a b -> fisWith (Just (\x -> cond a (length x) b)) f is
92 cond a' x b' = a' <= x && x <= b'
95 --- Filter on Fis and not on [Item]
96 fisWith :: Maybe ([Item] -> Bool) -> Frequency -> [[Item]] -> [Fis]
97 fisWith s f is = catMaybes $ map items2fis $ filter' $ runLCMmatrix is f
102 Just fun -> filter fun
104 -- Here the sole purpose to take the keys as a Set is tell we do not want
106 fisWithSizePoly :: Ord a => Size -> Frequency -> Set a -> [[a]] -> [Fis' a]
107 fisWithSizePoly n f ks = map (fmap fromItem) . fisWithSize n f . map (map toItem)
109 ksv = V.fromList $ Set.toList ks
110 ksm = Map.fromList . flip zip [0..] $ V.toList ksv
114 fisWithSizePoly2 :: Ord a => Size -> Frequency -> [[a]] -> [Fis' a]
115 fisWithSizePoly2 n f is = fisWithSizePoly n f ks is
117 ks = Set.fromList $ concat is
119 fisWithSizePolyMap :: Ord a => Size -> Frequency -> [[a]] -> Map (Set a) Int
120 fisWithSizePolyMap n f is =
121 Map.fromList $ (\i -> (Set.fromList (_fisItemSet i), _fisCount i)) <$> fisWithSizePoly2 n f is
124 ------------------------------------------------------------------------
125 ------------------------------------------------------------------------
129 ---- | /!\ indexes are not the same:
131 ---- | Index ngrams from Map
132 ----indexNgram :: Ord a => Map a Occ -> Map Index a
133 ----indexNgram m = fromList (zip [1..] (keys m))
135 ---- | Index ngrams from Map
136 ----ngramIndex :: Ord a => Map a Occ -> Map a Index
137 ----ngramIndex m = fromList (zip (keys m) [1..])
139 --indexWith :: Ord a => Map a Occ -> [a] -> [Int]
140 --indexWith m xs = unMaybe $ map (\x -> lookupIndex x m) xs
142 --indexIt :: Ord a => [[a]] -> (Map a Int, [[Int]])
143 --indexIt xs = (m, is)
145 -- m = sumOcc (map occ xs)
146 -- is = map (indexWith m) xs
148 --list2fis :: Ord a => FIS.Frequency -> [[a]] -> (Map a Int, [FIS.Fis])
149 --list2fis n xs = (m', fs)
151 -- (m, is) = indexIt xs
152 -- m' = M.filter (>50000) m
155 --text2fis :: FIS.Frequency -> [Text] -> (Map Text Int, [FIS.Fis])
156 --text2fis n xs = list2fis n (map terms xs)
158 ----text2fisWith :: FIS.Size -> FIS.Frequency -> [Text] -> (Map Text Int, [FIS.Fis])
159 ----text2fisWith = undefined