-- Hoogle documentation, generated by Haddock
-- See Hoogle, http://www.haskell.org/hoogle/


-- | A support vector machine written in Haskell
--   
--   svm is a library which implements least squares support vector
--   regression. It includes several common kernel functions.
@package svm
@version 1.0.0

module SVM
data DataSet
DataSet :: (Array Int [Double]) -> (UArray Int Double) -> DataSet
points :: DataSet -> (Array Int [Double])
values :: DataSet -> (UArray Int Double)
data SVMSolution
SVMSolution :: (UArray Int Double) -> (Array Int [Double]) -> Double -> SVMSolution
alpha :: SVMSolution -> (UArray Int Double)
sv :: SVMSolution -> (Array Int [Double])
bias :: SVMSolution -> Double
newtype KernelFunction
KernelFunction :: ([Double] -> [Double] -> [Double] -> Double) -> KernelFunction
class SVM a
createKernelMatrix :: SVM a => a -> (Array Int [Double]) -> KernelMatrix
dcost :: SVM a => a -> Double
evalKernel :: SVM a => a -> [Double] -> [Double] -> Double
simulate :: SVM a => a -> SVMSolution -> (Array Int [Double]) -> [Double]
solve :: SVM a => a -> DataSet -> Double -> Int -> SVMSolution
data LSSVM
LSSVM :: KernelFunction -> Double -> [Double] -> LSSVM
kf :: LSSVM -> KernelFunction
cost :: LSSVM -> Double
params :: LSSVM -> [Double]
newtype KernelMatrix
KernelMatrix :: (UArray Int Double) -> KernelMatrix
reciprocalKernelFunction :: [Double] -> [Double] -> [Double] -> Double
radialKernelFunction :: [Double] -> [Double] -> [Double] -> Double
linearKernelFunction :: [Double] -> [Double] -> [Double] -> Double
splineKernelFunction :: [Double] -> [Double] -> [Double] -> Double
polyKernelFunction :: [Double] -> [Double] -> [Double] -> Double
mlpKernelFunction :: [Double] -> [Double] -> [Double] -> Double
instance SVM LSSVM