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[DOC] adding a file for examples, text ngrams extraction and some metrics (begin).
[gargantext.git] / src / Gargantext / Text / Metrics / FrequentItemSet.hs
1 {-|
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
8 Portability : POSIX
9
10 Domain Specific Language to manage Frequent Item Set (FIS)
11
12 -}
13
14 {-# LANGUAGE NoImplicitPrelude #-}
15
16 module Gargantext.Text.Metrics.FrequentItemSet
17 ( Fis, Size(..)
18 , occ_hlcm, cooc_hlcm
19 , all, between
20 , fisWithSize
21 , fisWith
22 , fisWithSizePoly
23 , fisWithSizePoly2
24 , fisWithSizePolyMap
25 , module HLCM
26 )
27 where
28
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
33 import Data.Set (Set)
34 import qualified Data.Vector as V
35
36 import Data.List (filter, concat)
37 import Data.Maybe (catMaybes)
38
39 import HLCM
40
41 import Gargantext.Prelude
42
43 data Size = Point Int | Segment Int Int
44
45 ------------------------------------------------------------------------
46 -- | Occurrence is Frequent Item Set of size 1
47 occ_hlcm :: Frequency -> [[Item]] -> [Fis]
48 occ_hlcm = fisWithSize (Point 1)
49
50 -- | Cooccurrence is Frequent Item Set of size 2
51 cooc_hlcm :: Frequency -> [[Item]] -> [Fis]
52 cooc_hlcm = fisWithSize (Point 2)
53
54 all :: Frequency -> [[Item]] -> [Fis]
55 all = fisWith Nothing
56
57 ------------------------------------------------------------------------
58 between :: (Int, Int) -> Frequency -> [[Item]] -> [Fis]
59 between (x,y) = fisWithSize (Segment x y)
60
61 --maximum :: Int -> Frequency -> [[Item]] -> [Fis]
62 --maximum m = between (0,m)
63
64
65 ------------------------------------------------------------------------
66 ------------------------------------------------------------------------
67 -- | Data type to type the Frequent Item Set
68 -- TODO replace List with Set in fisItemSet
69 -- be careful : risks to erase HLCM behavior
70 type Fis = Fis' Item
71 data Fis' a = Fis' { _fisCount :: Int
72 , _fisItemSet :: [a]
73 } deriving (Show)
74
75 instance Functor Fis' where
76 fmap f (Fis' c is) = Fis' c (fmap f is)
77
78 -- | Sugar from items to FIS
79 items2fis :: [Item] -> Maybe Fis
80 items2fis [] = Nothing
81 items2fis (i:is) = Just $ Fis' i is
82
83 ------------------------------------------------------------------------
84 ------------------------------------------------------------------------
85
86 fisWithSize :: Size -> Frequency -> [[Item]] -> [Fis]
87 fisWithSize n f is = case n of
88 Point n' -> fisWith (Just (\x -> length x == (n'+1) )) f is
89 Segment a b -> fisWith (Just (\x -> cond a (length x) b)) f is
90 where
91 cond a' x b' = a' <= x && x <= b'
92
93
94 --- Filter on Fis and not on [Item]
95 fisWith :: Maybe ([Item] -> Bool) -> Frequency -> [[Item]] -> [Fis]
96 fisWith s f is = catMaybes $ map items2fis $ filter' $ runLCMmatrix is f
97 -- drop unMaybe
98 where
99 filter' = case s of
100 Nothing -> identity
101 Just fun -> filter fun
102
103 -- Here the sole purpose to take the keys as a Set is tell we do not want
104 -- duplicates.
105 fisWithSizePoly :: Ord a => Size -> Frequency -> Set a -> [[a]] -> [Fis' a]
106 fisWithSizePoly n f ks = map (fmap fromItem) . fisWithSize n f . map (map toItem)
107 where
108 ksv = V.fromList $ Set.toList ks
109 ksm = Map.fromList . flip zip [0..] $ V.toList ksv
110 toItem = (ksm Map.!)
111 fromItem = (ksv V.!)
112
113 fisWithSizePoly2 :: Ord a => Size -> Frequency -> [[a]] -> [Fis' a]
114 fisWithSizePoly2 n f is = fisWithSizePoly n f ks is
115 where
116 ks = Set.fromList $ concat is
117
118 fisWithSizePolyMap :: Ord a => Size -> Frequency -> [[a]] -> Map (Set a) Int
119 fisWithSizePolyMap n f is =
120 Map.fromList $ (\i -> (Set.fromList (_fisItemSet i), _fisCount i)) <$> fisWithSizePoly2 n f is
121
122
123 ------------------------------------------------------------------------
124 ------------------------------------------------------------------------
125
126
127 --
128 ---- | /!\ indexes are not the same:
129 --
130 ---- | Index ngrams from Map
131 ----indexNgram :: Ord a => Map a Occ -> Map Index a
132 ----indexNgram m = fromList (zip [1..] (keys m))
133 --
134 ---- | Index ngrams from Map
135 ----ngramIndex :: Ord a => Map a Occ -> Map a Index
136 ----ngramIndex m = fromList (zip (keys m) [1..])
137 --
138 --indexWith :: Ord a => Map a Occ -> [a] -> [Int]
139 --indexWith m xs = unMaybe $ map (\x -> lookupIndex x m) xs
140 --
141 --indexIt :: Ord a => [[a]] -> (Map a Int, [[Int]])
142 --indexIt xs = (m, is)
143 -- where
144 -- m = sumOcc (map occ xs)
145 -- is = map (indexWith m) xs
146 --
147 --list2fis :: Ord a => FIS.Frequency -> [[a]] -> (Map a Int, [FIS.Fis])
148 --list2fis n xs = (m', fs)
149 -- where
150 -- (m, is) = indexIt xs
151 -- m' = M.filter (>50000) m
152 -- fs = FIS.all n is
153 --
154 --text2fis :: FIS.Frequency -> [Text] -> (Map Text Int, [FIS.Fis])
155 --text2fis n xs = list2fis n (map terms xs)
156 --
157 ----text2fisWith :: FIS.Size -> FIS.Frequency -> [Text] -> (Map Text Int, [FIS.Fis])
158 ----text2fisWith = undefined
159 --
160