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.DataOnMemory;
  import eu.amidst.core.datastream.DataStream;
  import eu.amidst.core.io.DataStreamLoader;
  import eu.amidst.core.io.DataStreamWriter;
  import eu.amidst.core.utils.ReservoirSampling;
  
  /**
   *
   *  This example shows how to use the RervourSampling class which implements an algorithm to uniformly subsample N data points
   *  for a data stream of unknown size using the algorithm given in
   *
   *  Vitter, J. S. (1985). Random sampling with a reservoir. ACM Transactions on Mathematical Software (TOMS), 11(1), 37-57.
   *
   *
   * Created by andresmasegosa on 18/6/15.
   */
  public class ReservoirSampleExample {
  
      public static void main(String[] args) throws Exception {
  
          //We can open the data stream using the static class DataStreamLoader
          DataStream<DataInstance> data = DataStreamLoader.open("datasets/simulated/syntheticData.arff");
  
          //ReservoirSampling allows to create a DataOnMemory object containing a unfiorm subsample of the data stream
          DataOnMemory<DataInstance> dataOnMemory = ReservoirSampling.samplingNumberOfSamples(100, data);
  
          //We can save this data set to a new file using the static class DataStreamWriter
          DataStreamWriter.writeDataToFile(data, "datasets/simulated/subsample.arff");
      }
  }
  