/** Calculate how many input and output neurons will be needed for the current data. */
public void calculateNeuronCounts() {
this.inputNeuronCount = 0;
this.outputNeuronCount = 0;
for (final TemporalDataDescription desc : this.descriptions) {
if (desc.isInput()) {
this.inputNeuronCount += this.inputWindowSize;
}
if (desc.isPredict()) {
this.outputNeuronCount += this.predictWindowSize;
}
}
}
/**
* Generate neural ideal data for the specified index.
*
* @param index The index to generate for.
* @return The neural data generated.
*/
public BasicNeuralData generateOutputNeuralData(final int index) {
if (index + this.predictWindowSize > this.points.size()) {
final String str =
"Can't generate prediction temporal data " + "beyond the end of provided data.";
throw new TemporalError(str);
}
final BasicNeuralData result = new BasicNeuralData(this.outputNeuronCount);
int resultIndex = 0;
for (int i = 0; i < this.predictWindowSize; i++) {
int descriptionIndex = 0;
for (final TemporalDataDescription desc : this.descriptions) {
if (desc.isPredict()) {
result.setData(resultIndex++, formatData(desc, index + i));
}
descriptionIndex++;
}
}
return result;
}
