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# AMIDST Notes | |
mvn clean dependency:copy-dependencies package | |
## core | |
java -Xmx5G -cp ./core/target/*:./core/target/dependency/* eu.amidst.core.learning.parametric.bayesian.DriftSVB | |
java -Xmx5G -cp ./core/target/*:./core/target/dependency/* eu.amidst.core.learning.parametric.bayesian.MultiDriftSVB | |
java -Xmx5G -cp ./core/target/*:./core/target/dependency/* eu.amidst.core.inference.messagepassing.VMP | |
java -Xmx5G -cp ./core/target/*:./core/target/dependency/* eu.amidst.core.inference.ImportanceSamplingRobust | |
java -Xmx5G -cp ./core/target/*:./core/target/dependency/* eu.amidst.core.inference.ImportanceSampling | |
java -Xmx5G -cp ./core/target/*:./core/target/dependency/* eu.amidst.core.inference.MAPInference | |
java -Xmx5G -cp ./core/target/*:./core/target/dependency/* eu.amidst.core.inference.InferenceEngine | |
java -Xmx5G -cp ./core/target/*:./core/target/dependency/* eu.amidst.core.utils.BayesianNetworkGenerator | |
java -Xmx5G -cp ./core/target/*:./core/target/dependency/* eu.amidst.core.utils.BayesianNetworkSampler | |
java -Xmx5G -cp .:./core/target/*:./core/target/dependency/* eu.amidst.core.utils.ReservoirSampling | |
(no output) | |
java -Xmx5G -cp ./core/target/*:./core/target/dependency/* eu.amidst.core.inference.MPEInference | |
(changed location of asia.bn to ./networks/dataWeka/asia.bn) | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.core.examples.classifiers.NaiveBayesClassifierDemo | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.core.examples.conceptdrift.NaiveBayesVirtualConceptDriftDetectorExample | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.core.examples.conceptdrift.MaximimumLikelihoodFadingExample | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.core.examples.conceptdrift.SVBFadingExample | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.core.examples.datastream.DataStreamsExample | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.core.examples.inference.ImportanceSamplingExample | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.core.examples.inference.MAPInferenceExample | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.core.examples.inference.MPEInferenceExample | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.core.examples.inference.InferenceEngineExample | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.core.examples.inference.VMPExample | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.core.examples.io.BayesianNetworkIOExample | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.core.examples.io.DataStreamIOExample | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.core.examples.learning.MaximimumLikelihoodByBatchExample | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.core.examples.learning.ParallelSVBExample | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.core.examples.learning.SVBExample | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.core.examples.learning.ParallelMaximumLikelihoodExample | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.core.examples.learning.SVBByBatchExample | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.core.examples.models.CreatingBayesianNetworks | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.core.examples.models.CreatingBayesianNetworksWithLatentVariables | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.core.examples.models.ModifiyingBayesianNetworks | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.core.examples.models.CreatingBayesianNetworks | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.core.examples.utils.BayesianNetworkSamplerExample | |
(no output) | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.core.examples.utils.ReservoirSampleExample | |
(no output) | |
## core-dynamic | |
java -Xmx5G -cp ./core-dynamic/target/*:./core-dynamic/target/dependency/* eu.amidst.dynamic.learning.parametric.DynamicNaiveBayesClassifier | |
java -Xmx5G -cp ./core-dynamic/target/*:./core-dynamic/target/dependency/* eu.amidst.dynamic.inference.DynamicVMP | |
java -Xmx5G -cp ./core-dynamic/target/*:./core-dynamic/target/dependency/* eu.amidst.dynamic.inference.DynamicMAPInference | |
java -Xmx5G -cp ./core-dynamic/target/*:./core-dynamic/target/dependency/* eu.amidst.dynamic.inference.FactoredFrontierForDBN | |
java -Xmx5G -cp ./core-dynamic/target/*:./core-dynamic/target/dependency/* eu.amidst.dynamic.utils.DynamicBayesianNetworkGenerator | |
java -Xmx5G -cp ./core-dynamic/target/*:./core-dynamic/target/dependency/* eu.amidst.dynamic.utils.DynamicToStaticBNConverter | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.dynamic.examples.datastream.DataStreamsExample | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.dynamic.examples.inference.DynamicIS_Scalability | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.dynamic.examples.inference.DynamicVMP_FactoredFrontier | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.dynamic.examples.inference.DynamicIS_FactoredFrontier | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.dynamic.examples.learning.MLforDBNfromDataset | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.dynamic.examples.learning.MLforDBNsampling | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.dynamic.examples.learning.SVBforDBN | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.dynamic.examples.variables.DynamicVariablesExample | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.multicore.ParallelMLExample | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.multicore.ParallelStreamExample | |
## BCC | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.bnaic2015.examples.BCC | |
## models | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.dynamic.examples.models.DaimlerModels | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.dynamic.examples.models.CajaMarModels | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.dynamic.examples.models.VerdandeModels | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.dynamic.examples.models.CreatingDBNs | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.dynamic.examples.models.CreatingDBNsWithLatentVariables | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.dynamic.examples.models.ModifyingDBNs | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.dynamic.examples.models.DynamicNaiveBayesClassifierDemo | |
## latentvariablemodels | |
java -Xmx5G -cp ./latent-variable-models/target/*:./latent-variable-models/target/dependency/* eu.amidst.latentvariablemodels.staticmodels.FactorAnalysis | |
java -Xmx5G -cp ./latent-variable-models/target/*:./latent-variable-models/target/dependency/* eu.amidst.latentvariablemodels.staticmodels.GaussianMixture | |
java -Xmx5G -cp ./latent-variable-models/target/*:./latent-variable-models/target/dependency/* eu.amidst.latentvariablemodels.staticmodels.CustomGaussianMixture | |
java -Xmx5G -cp ./latent-variable-models/target/*:./latent-variable-models/target/dependency/* eu.amidst.latentvariablemodels.staticmodels.BayesianLinearRegression | |
java -Xmx5G -cp ./latent-variable-models/target/*:./latent-variable-models/target/dependency/* eu.amidst.latentvariablemodels.staticmodels.MixtureOfFactorAnalysers | |
java -Xmx5G -cp ./latent-variable-models/target/*:./latent-variable-models/target/dependency/* eu.amidst.latentvariablemodels.staticmodels.classifiers.GaussianDiscriminantAnalysis | |
java -Xmx5G -cp ./latent-variable-models/target/*:./latent-variable-models/target/dependency/* eu.amidst.latentvariablemodels.staticmodels.classifiers.HODE | |
java -Xmx5G -cp ./latent-variable-models/target/*::./latent-variable-models/target/dependency/* eu.amidst.latentvariablemodels.staticmodels.classifiers.AODE | |
java -Xmx5G -cp ./latent-variable-models/target/*:./latent-variable-models/target/dependency/* eu.amidst.latentvariablemodels.staticmodels.classifiers.LatentClassificationModel | |
java -Xmx5G -cp ./latent-variable-models/target/*:./latent-variable-models/target/dependency/* eu.amidst.latentvariablemodels.staticmodels.classifiers.NaiveBayesClassifier | |
java -Xmx5G -cp ./latent-variable-models/target/*:./latent-variable-models/target/dependency/* eu.amidst.latentvariablemodels.dynamicmodels.SwitchingKalmanFilter | |
java -Xmx5G -cp ./latent-variable-models/target/*:./latent-variable-models/target/dependency/* eu.amidst.latentvariablemodels.dynamicmodels.InputOutputHMM | |
java -Xmx5G -cp ./latent-variable-models/target/*:./latent-variable-models/target/dependency/* eu.amidst.latentvariablemodels.dynamicmodels.FactorialHMM | |
java -Xmx5G -cp ./latent-variable-models/target/*:./latent-variable-models/target/dependency/* eu.amidst.latentvariablemodels.dynamicmodels.KalmanFilter | |
java -Xmx5G -cp ./latent-variable-models/target/*:./latent-variable-models/target/dependency/* eu.amidst.latentvariablemodels.dynamicmodels.AutoRegressiveHMM | |
java -Xmx5G -cp ./latent-variable-models/target/*:./latent-variable-models/target/dependency/* eu.amidst.latentvariablemodels.dynamicmodels.HiddenMarkovModel | |
java -Xmx5G -cp ./latent-variable-models/target/*:./latent-variable-models/target/dependency/* eu.amidst.latentvariablemodels.dynamicmodels.classifiers.DynamicLatentClassificationModel | |
java -Xmx5G -cp ./latent-variable-models/target/*:./latent-variable-models/target/dependency/* eu.amidst.latentvariablemodels.staticmodels.ConceptDriftDetector | |
(changed setIndexClass to 3 for sea.arff) | |
## weka 3.8 and moa 2013 | |
java -Xmx5G -cp /home/jdevoo/lib/weka-3-8-1/weka.jar:./wekalink/target/*:./wekalink/target/dependency/* weka.gui.GUIChooser | |
java -cp /home/jdevoo/lib/moa-release-2013.11/moa.jar:./moalink/target/*:./moalink/target/dependency/* -javaagent:/home/jdevoo/lib/moa-release-2013.11/sizeofag.jar moa.gui.GUI | |
## issues | |
java -Xmx5G -cp ./examples/target/*:./examples/target/dependency/* eu.amidst.dynamic.examples.inference.DynamicMAPInference | |
MAP sequence over ClassVar: | |
Exception in thread "main" java.lang.NullPointerException | |
at eu.amidst.dynamic.examples.inference.DynamicMAPInference.main(DynamicMAPInference.java:128) | |
java -Xmx5G -Djava.library.path=./huginlink/huginlib/ -cp ./latent-variable-models/target/*:./latent-variable-models/target/dependency/* eu.amidst.latentvariablemodels.staticmodels.classifiers.TAN | |
java -Xmx5G -cp ./core-dynamic/target/*:./core-dynamic/target/dependency/* eu.amidst.dynamic.utils.DynamicBayesianNetworkSampler | |
Exception in thread "main" java.lang.NullPointerException | |
at eu.amidst.dynamic.datastream.DynamicDataInstance.outputString(DynamicDataInstance.java:115) | |
at eu.amidst.dynamic.utils.DynamicBayesianNetworkSampler.main(DynamicBayesianNetworkSampler.java:418) | |
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