@Test public void test() throws Exception { DynamicBayesianNetworkSamplerExample.main(null); }
public static void main(String[] args) throws Exception{ DynamicBayesianNetworkGenerator dbnGenerator = new DynamicBayesianNetworkGenerator(); dbnGenerator.setNumberOfContinuousVars(3); dbnGenerator.setNumberOfDiscreteVars(3); dbnGenerator.setNumberOfStates(2); DynamicBayesianNetwork network = DynamicBayesianNetworkGenerator.generateDynamicNaiveBayes( new Random(0), 2, true); DynamicBayesianNetworkSampler sampler = new DynamicBayesianNetworkSampler(network); sampler.setSeed(0); DataStream<DynamicDataInstance> dataStream = sampler.sampleToDataBase(3,1000); DataStreamWriter.writeDataToFile(dataStream, "./datasets/simulated/dnb-samples.arff"); }
DynamicBayesianNetworkSamplerExample { public static void main(String[] args) throws Exception{ DynamicBayesianNetworkGenerator dbnGenerator = new DynamicBayesianNetworkGenerator(); dbnGenerator.setNumberOfContinuousVars(3); dbnGenerator.setNumberOfDiscreteVars(3); dbnGenerator.setNumberOfStates(2); DynamicBayesianNetwork network = DynamicBayesianNetworkGenerator.generateDynamicNaiveBayes( new Random(0), 2, true); DynamicBayesianNetworkSampler sampler = new DynamicBayesianNetworkSampler(network); sampler.setSeed(0); DataStream<DynamicDataInstance> dataStream = sampler.sampleToDataBase(3,1000); DataStreamWriter.writeDataToFile(dataStream, "./datasets/simulated/dnb-samples.arff"); } }
DynamicBayesianNetworkSamplerExample { public static void main(String[] args) throws Exception{ DynamicBayesianNetworkGenerator dbnGenerator = new DynamicBayesianNetworkGenerator(); dbnGenerator.setNumberOfContinuousVars(3); dbnGenerator.setNumberOfDiscreteVars(3); dbnGenerator.setNumberOfStates(2); DynamicBayesianNetwork network = DynamicBayesianNetworkGenerator.generateDynamicNaiveBayes( new Random(0), 2, true); DynamicBayesianNetworkSampler sampler = new DynamicBayesianNetworkSampler(network); sampler.setSeed(0); DataStream<DynamicDataInstance> dataStream = sampler.sampleToDataBase(3,1000); DataStreamWriter.writeDataToFile(dataStream, "./datasets/simulated/dnb-samples.arff"); }  }
DynamicBayesianNetworkSamplerExample { public static void main(String[] args) throws Exception{ DynamicBayesianNetworkGenerator dbnGenerator = new DynamicBayesianNetworkGenerator(); dbnGenerator.setNumberOfContinuousVars(3); dbnGenerator.setNumberOfDiscreteVars(3); dbnGenerator.setNumberOfStates(2); DynamicBayesianNetwork network = DynamicBayesianNetworkGenerator.generateDynamicNaiveBayes( new Random(0), 2, true); DynamicBayesianNetworkSampler sampler = new DynamicBayesianNetworkSampler(network); sampler.setSeed(0); DataStream<DynamicDataInstance> dataStream = sampler.sampleToDataBase(3,1000); DataStreamWriter.writeDataToFile(dataStream, "./datasets/simulated/dnb-samples.arff"); }  static void main(String[] args); }
DynamicBayesianNetworkSamplerExample { public static void main(String[] args) throws Exception{ DynamicBayesianNetworkGenerator dbnGenerator = new DynamicBayesianNetworkGenerator(); dbnGenerator.setNumberOfContinuousVars(3); dbnGenerator.setNumberOfDiscreteVars(3); dbnGenerator.setNumberOfStates(2); DynamicBayesianNetwork network = DynamicBayesianNetworkGenerator.generateDynamicNaiveBayes( new Random(0), 2, true); DynamicBayesianNetworkSampler sampler = new DynamicBayesianNetworkSampler(network); sampler.setSeed(0); DataStream<DynamicDataInstance> dataStream = sampler.sampleToDataBase(3,1000); DataStreamWriter.writeDataToFile(dataStream, "./datasets/simulated/dnb-samples.arff"); }  static void main(String[] args);  }