private static INDArray getData() {
Random r = new Random(1);
int[] result = new int[window];
for (int i = 0; i < window; i++) {
result[i] = r.nextInt(nIn);
}
return FeatureUtil.toOutcomeMatrix(result, nIn);
}
/**
* Fit the model
*
* @param examples the examples to classify (one example in each row)
* @param labels the labels for each example (the number of labels must match
*/
@Override
public void fit(INDArray examples, int[] labels) {
INDArray outcomeMatrix = FeatureUtil.toOutcomeMatrix(labels, numLabels());
fit(examples, outcomeMatrix);
}