/**
* 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);
}
}
