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Fixture test SSM model for SMC, RMSMC, PMMH and SMC2
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Manuel Bärenz
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Feb 8, 2023
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module TestSSMFixtures where | ||
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import Control.Monad (forM_) | ||
import Control.Monad.Bayes.Class (MonadDistribution) | ||
import Control.Monad.Bayes.Inference.MCMC | ||
import Control.Monad.Bayes.Inference.PMMH as PMMH (pmmh) | ||
import Control.Monad.Bayes.Inference.RMSMC (rmsmc, rmsmcBasic, rmsmcDynamic) | ||
import Control.Monad.Bayes.Inference.SMC | ||
import Control.Monad.Bayes.Inference.SMC2 as SMC2 (smc2) | ||
import Control.Monad.Bayes.Population | ||
import Control.Monad.Bayes.Sampler.Strict (sampleIOfixed) | ||
import Control.Monad.Bayes.Weighted (unweighted) | ||
import Control.Monad.IO.Class (MonadIO (liftIO)) | ||
import NonlinearSSM | ||
import System.IO (readFile') | ||
import System.IO.Error (catchIOError, isDoesNotExistError) | ||
import Test.Hspec | ||
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data Alg = SMC | RMSMC | RMSMCDynamic | RMSMCBasic | PMMH | SMC2 | ||
deriving (Show, Read, Eq, Ord, Enum, Bounded) | ||
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algs :: [Alg] | ||
algs = [minBound .. maxBound] | ||
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fixtureToFilename :: Alg -> FilePath | ||
fixtureToFilename alg = "test/fixtures/SSM-" ++ show alg ++ ".txt" | ||
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type SSMData = [Double] | ||
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t = 5 | ||
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-- FIXME refactor such that it can be reused in ssm benchmark | ||
runAlgFixed :: MonadDistribution m => SSMData -> Alg -> m String | ||
runAlgFixed ys SMC = fmap show $ population $ smc SMCConfig {numSteps = t, numParticles = 10, resampler = resampleMultinomial} (param >>= model ys) | ||
runAlgFixed ys RMSMC = | ||
fmap show $ | ||
population $ | ||
rmsmc | ||
MCMCConfig {numMCMCSteps = 10, numBurnIn = 0, proposal = SingleSiteMH} | ||
SMCConfig {numSteps = t, numParticles = 10, resampler = resampleSystematic} | ||
(param >>= model ys) | ||
runAlgFixed ys RMSMCBasic = | ||
fmap show $ | ||
population $ | ||
rmsmcBasic | ||
MCMCConfig {numMCMCSteps = 10, numBurnIn = 0, proposal = SingleSiteMH} | ||
SMCConfig {numSteps = t, numParticles = 10, resampler = resampleSystematic} | ||
(param >>= model ys) | ||
runAlgFixed ys RMSMCDynamic = | ||
fmap show $ | ||
population $ | ||
rmsmcDynamic | ||
MCMCConfig {numMCMCSteps = 10, numBurnIn = 0, proposal = SingleSiteMH} | ||
SMCConfig {numSteps = t, numParticles = 10, resampler = resampleSystematic} | ||
(param >>= model ys) | ||
runAlgFixed ys PMMH = | ||
fmap show $ | ||
unweighted $ | ||
pmmh | ||
MCMCConfig {numMCMCSteps = 2, numBurnIn = 0, proposal = SingleSiteMH} | ||
SMCConfig {numSteps = t, numParticles = 3, resampler = resampleSystematic} | ||
param | ||
(model ys) | ||
runAlgFixed ys SMC2 = fmap show $ population $ smc2 t 3 2 1 param (model ys) | ||
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testFixture :: Alg -> SpecWith () | ||
testFixture alg = do | ||
let filename = fixtureToFilename alg | ||
it ("should agree with the fixture " ++ filename) $ do | ||
ys <- sampleIOfixed $ generateData t | ||
fixture <- catchIOError (readFile' filename) $ \e -> | ||
if isDoesNotExistError e | ||
then return "" | ||
else ioError e | ||
sampled <- sampleIOfixed $ runAlgFixed (map fst ys) alg | ||
-- Reset in case of fixture update or creation | ||
writeFile filename sampled | ||
fixture `shouldBe` sampled | ||
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test :: SpecWith () | ||
test = describe "TestSSMFixtures" $ mapM_ testFixture algs |
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