/** * Configuration parameters for NeuralNetEvaluator are: * * <ul> * <li><code>train-data: complex</code> Train data set used in individuals evaluation. * <ul> * <li><code>train-data[@file-name] String </code> File name of train data * </ul> * <li><code>test-data: complex</code> Test data set used in individuals evaluation. * <ul> * <li><code>test-data[@file-name] String </code> File name of test data * </ul> * <li><code>[@normalize-data]: boolean (default = false)</code> If this parameter is set to * <code>true</code> data sets values are normalizated after reading their contents * <li><code>[input-interval] (complex)</code> Input interval of normalization. * <li><code>[output-interval] (complex)</code> Output interval of normalization. * </ul> * * <p> * * @param settings Configuration object from which the properties are read */ public void configure(Configuration settings) { // Set trainData unscaledTrainData = new DoubleTransposedDataSet(); unscaledTrainData.configure(settings.subset("train-data")); // Set testData unscaledTestData = new DoubleTransposedDataSet(); unscaledTestData.configure(settings.subset("test-data")); // Set normalizer normalizer = new Normalizer(); // Set dataNormalized dataNormalized = settings.getBoolean("[@normalize-data]", false); // Set dataNormalized logTransformation = settings.getBoolean("[@log-input-data]", false); if (dataNormalized) { // Normalization Input Interval Interval interval = new Interval(); // Configure interval interval.configure(settings.subset("input-interval")); // Set interval setInputInterval(interval); // Normalization Output Interval interval = new Interval(); // Configure range interval.configure(settings.subset("output-interval")); // Set interval setOutputInterval(interval); } }