/** Utility method to switch from List<Double> to MLData */
public static BasicNeuralData neuralDataFromListOfDouble(List<Double> doubleList) {
BasicNeuralData result = new BasicNeuralData(doubleList.size());
for (int i = 0; i < doubleList.size(); i++) {
result.setData(i, doubleList.get(i));
}
return result;
}
public static NeuralDataSet generateTraining() {
NeuralDataSet result = new BasicNeuralDataSet();
for (int i = 0; i < DIGITS.length; i++) {
BasicNeuralData ideal = new BasicNeuralData(DIGITS.length);
// setup input
NeuralData input = image2data(DIGITS[i]);
// setup ideal
for (int j = 0; j < DIGITS.length; j++) {
if (j == i) ideal.setData(j, 1);
else ideal.setData(j, -1);
}
// add training element
result.add(input, ideal);
}
return result;
}
/**
* Generate input neural data for the specified index.
*
* @param index The index to generate neural data for.
* @return The input neural data generated.
*/
public BasicNeuralData generateInputNeuralData(final int index) {
if (index + this.inputWindowSize > this.points.size()) {
throw new TemporalError(
"Can't generate input temporal data " + "beyond the end of provided data.");
}
final BasicNeuralData result = new BasicNeuralData(this.inputNeuronCount);
int resultIndex = 0;
for (int i = 0; i < this.inputWindowSize; i++) {
int descriptionIndex = 0;
for (final TemporalDataDescription desc : this.descriptions) {
if (desc.isInput()) {
result.setData(resultIndex++, formatData(desc, index + i));
}
descriptionIndex++;
}
}
return result;
}