content: /*
   *
   *
   *    Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements.
   *    See the NOTICE file distributed with this work for additional information regarding copyright ownership.
   *    The ASF licenses this file to You under the Apache License, Version 2.0 (the "License"); you may not use
   *    this file except in compliance with the License.  You may obtain a copy of the License at
   *
   *            http://www.apache.org/licenses/LICENSE-2.0
   *
   *    Unless required by applicable law or agreed to in writing, software distributed under the License is
   *    distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   *    See the License for the specific language governing permissions and limitations under the License.
   *
   *
   */
  package eu.amidst.core.examples.utils;
  
  
  import eu.amidst.core.datastream.DataInstance;
  import eu.amidst.core.datastream.DataStream;
  import eu.amidst.core.io.BayesianNetworkLoader;
  import eu.amidst.core.io.DataStreamWriter;
  import eu.amidst.core.models.BayesianNetwork;
  import eu.amidst.core.utils.BayesianNetworkSampler;
  
  import java.io.IOException;
  
  /**
   *
   * This example shows how to use the BayesianNetworkSampler class to randomly generate a data sample
   * for a given Bayesian network.
   *
   * Created by andresmasegosa on 18/6/15.
   */
  public class BayesianNetworkSamplerExample {
  
      public static void main(String[] agrs) throws IOException, ClassNotFoundException {
  
          //We first load the WasteIncinerator bayesian network which has multinomial and Gaussian variables.
          BayesianNetwork bn = BayesianNetworkLoader.loadFromFile("./networks/simulated/WasteIncinerator.bn");
  
          //We simply create an BayesianNetworkSampler object, passing to the constructor the BN model.
          BayesianNetworkSampler sampler = new BayesianNetworkSampler(bn);
          sampler.setSeed(0);
  
          //The method sampleToDataStream returns a DataStream with ten DataInstance objects.
          DataStream<DataInstance> dataStream = sampler.sampleToDataStream(10);
  
          //We finally save the sampled data set to a arff file.
          DataStreamWriter.writeDataToFile(dataStream, "datasets/simulated/sample-WasteIncinerator.arff");
      }
  }