/// <summary>
/// Builds classifier using specified data set
/// (trains neural network using that data set)
/// </summary>
/// <param name="data"> Instance weka data set </param>
/// <exception cref="Exception"> </exception>
//JAVA TO C# CONVERTER WARNING: Method 'throws' clauses are not available in .NET:
//ORIGINAL LINE: @Override public void buildClassifier(weka.core.Instances data) throws Exception
public override void buildClassifier(Instances data)
{
// convert weka dataset to neuroph dataset
DataSet dataSet = WekaDataSetConverter.convertWekaToNeurophDataset(data, neuralNet.InputsCount, neuralNet.OutputsCount);
// train neural network
neuralNet.learn(dataSet);
}
//JAVA TO C# CONVERTER WARNING: Method 'throws' clauses are not available in .NET:
//ORIGINAL LINE: public static void main(String[] args) throws Exception
public static void Main(string[] args)
{
// create weka dataset from file
DataSource dataSource = new DataSource("datasets/iris.arff");
Instances wekaDataset = dataSource.DataSet;
wekaDataset.setClassIndex(4);
// normalize dataset
Normalize filter = new Normalize();
filter.InputFormat = wekaDataset;
wekaDataset = Filter.useFilter(wekaDataset, filter);
// convert weka dataset to neuroph dataset
DataSet neurophDataset = WekaDataSetConverter.convertWekaToNeurophDataset(wekaDataset, 4, 3);
// convert back neuroph dataset to weka dataset
Instances testWekaDataset = WekaDataSetConverter.convertNeurophToWekaDataset(neurophDataset);
// print out all to compare
Console.WriteLine("Weka data set from file");
printDataSet(wekaDataset);
Console.WriteLine("Neuroph data set converted from Weka data set");
printDataSet(neurophDataset);
Console.WriteLine("Weka data set reconverted from Neuroph data set");
printDataSet(testWekaDataset);
Console.WriteLine("Testing WekaNeurophClassifier");
testNeurophWekaClassifier(wekaDataset);
}
