Commit 51df3b7d authored by Alexandre Delanoë's avatar Alexandre Delanoë

[OPTIM] Distri Similarity

parent 107b2fc6
......@@ -5,7 +5,7 @@ cabal-version: 1.12
-- see: https://github.com/sol/hpack
name: gargantext
version: 0.0.6.9.8.1
version: 0.0.6.9.8.1
synopsis: Search, map, share
description: Please see README.md
category: Data
......
......@@ -20,7 +20,7 @@ import Data.Swagger
import Data.Text (Text)
import GHC.Generics (Generic)
import Gargantext.Core.Methods.Similarities.Accelerate.Conditional (measureConditional)
import Gargantext.Core.Methods.Similarities.Accelerate.Distributional (logDistributional)
import Gargantext.Core.Methods.Similarities.Accelerate.Distributional (logDistributional2)
-- import Gargantext.Core.Text.Metrics.Count (coocOn)
-- import Gargantext.Core.Viz.Graph.Index
import Gargantext.Prelude (Ord, Eq, Int, Double, Show, map)
......@@ -36,7 +36,7 @@ data Similarity = Conditional | Distributional
measure :: Similarity -> Matrix Int -> Matrix Double
measure Conditional x = measureConditional x
measure Distributional x = logDistributional x
measure Distributional x = logDistributional2 x
------------------------------------------------------------------------
withMetric :: GraphMetric -> Similarity
......
......@@ -92,5 +92,3 @@ conditional' m = ( run $ ie $ map fromIntegral $ use m
n :: Exp Double
n = P.fromIntegral r
......@@ -137,8 +137,8 @@ import qualified Prelude
-- 8.333333333333333e-2, 4.6875e-2, 1.0, 0.25,
-- 0.3333333333333333, 5.7692307692307696e-2, 1.0, 1.0]
--
distributional :: Matrix Int -> Acc (Matrix Double)
distributional m' = result
distributional :: Matrix Int -> Matrix Double
distributional m' = run $ result
where
m = map A.fromIntegral $ use m'
n = dim m'
......@@ -170,7 +170,7 @@ distributional m' = result
logDistributional2 :: Matrix Int -> Matrix Double
logDistributional2 m = trace ("logDistributional, dim=" `mappend` show n) . run
$ diagNull n
-- $ diagNull n
$ matMaxMini
$ logDistributional' n m
where
......@@ -263,7 +263,7 @@ logDistributional' n m' = trace ("logDistributional'") result
--
logDistributional :: Matrix Int -> Matrix Double
logDistributional m' = run $ diagNull n result
logDistributional m' = run result
where
m = map fromIntegral $ use m'
n = dim m'
......@@ -362,9 +362,12 @@ rIJ n m = matMaxMini $ divide a b
-- * For Tests (to be removed)
-- | Test perfermance with this matrix
-- TODO : add this in a benchmark folder
distriTest :: Int -> Matrix Double
distriTest n = logDistributional (theMatrixInt n)
{-
distriTest :: Int -> Bool
distriTest n = logDistributional m == distributional m
where
m = theMatrixInt n
-}
-- * sparse utils
......
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