[Haskell-cafe] hmatrix's fitModel function crashes ghc(i)
Roel van Dijk
vandijk.roel at gmail.com
Sat Nov 6 08:22:10 EDT 2010
Hello,
I would like to use hmatrix to do some function fitting with the
Levenberg Marquardt algorithm. As an example I would like to fit the
very simple function "f x = a*x + b" on some data points. The problem
is that executing the 'fitModel' function crashes GHC(i) with a
segmentation fault. This makes debugging difficult. Can anyone spot
what I am doing wrong? Given all the lists of Double's it seems very
easy to make an error regarding the number of arguments with the model
function or the derivative.
Try to evaluate the 'test' function in the small program listed below.
I would expect an output of [1, 0] (y = 1*x + 0) instead of a
segmentation fault.
Relevant versions:
- hmatrix-0.10.0.0
- gsl-1.14
- ghc-6.12.3 (64 bit)
Small program:
module Test where
-- from base:
import Control.Arrow ( second )
import Control.Applicative ( pure )
-- from hmatrix:
import Data.Packed.Matrix ( Matrix )
import Numeric.GSL.Fitting ( FittingMethod(LevenbergMarquardt), fitModel )
-- input list of (x, y) pairs, output coefficients of "f x = a x * b"
fitLinear :: [(Double, Double)] -> ([Double], Matrix Double)
fitLinear samples = fitModel 1
1
10
(linearModel, linearDer)
(map (second pure) samples)
[0, 0]
linearModel :: [Double] -> Double -> [Double]
linearModel [a, b] x = [a*x + b, 0]
linearModel _ x = error "wrong arguments"
linearDer :: [Double] -> Double -> [[Double]]
linearDer [_, _] x = [[x, 0]]
linearDer _ _ = error "wrong arguments"
test = fitLinear [(0,0), (1,1), (2,2)]
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