/**
* @param samples The number of input vectors the error is sampled over
* @return Mean-squared error of this origin over randomly selected points
*/
public float[] getError(int samples) {
float[] result = new float[getDimensions()];
if (myNode instanceof NEFEnsemble) {
NEFEnsemble ensemble = (NEFEnsemble) myNode;
VectorGenerator vg = new RandomHypersphereVG(false, 1, 0);
float[][] unscaled = vg.genVectors(samples, ensemble.getDimension());
float[][] input = new float[unscaled.length][];
for (int i = 0; i < input.length; i++) {
input[i] = MU.prodElementwise(unscaled[i], ensemble.getRadii());
}
float[][] idealOutput = NEFUtil.getOutput(this, input, SimulationMode.DIRECT);
float[][] actualOutput = NEFUtil.getOutput(this, input, SimulationMode.CONSTANT_RATE);
float[][] error = MU.transpose(MU.difference(actualOutput, idealOutput));
for (int i = 0; i < error.length; i++) {
result[i] = MU.prod(error[i], error[i]) / error[i].length;
}
} else {
ourLogger.warn(
"Can't calculate error of a DecodedOrigin unless it belongs to an NEFEnsemble");
}
return result;
}
