@Override
public void aggregateTemporal(
BinContext ctx, Vector spatialVector, int numSpatialObs, WritableVector temporalVector) {
GrowableVector measurementsVec = ctx.get(mlName);
float value = spatialVector.get(0);
if (!Float.isNaN(value)) {
measurementsVec.add(value);
}
}
@Override
public void completeSpatial(BinContext ctx, int numSpatialObs, WritableVector spatialVector) {
Integer invalidCount = ((int[]) ctx.get(icName))[0];
int effectiveCount = numSpatialObs - invalidCount;
if (effectiveCount > 0) {
spatialVector.set(0, spatialVector.get(0) / effectiveCount);
} else {
spatialVector.set(0, Float.NaN);
}
}
@Override
public void completeTemporal(BinContext ctx, int numTemporalObs, WritableVector temporalVector) {
GrowableVector measurementsVec = ctx.get(mlName);
float[] measurements = measurementsVec.getElements();
if (measurements.length > 0) {
Arrays.sort(measurements);
temporalVector.set(0, computePercentile(percentage, measurements));
} else {
temporalVector.set(0, Float.NaN);
}
}
@Override
public void aggregateSpatial(
BinContext ctx, Observation observationVector, WritableVector spatialVector) {
float value = observationVector.get(varIndex);
if (!Float.isNaN(value)) {
spatialVector.set(0, spatialVector.get(0) + value);
} else {
// We count invalids rather than valid because it is more efficient.
// (Key/value map operations are relatively slow, and it is more likely that we will receive
// valid measurements.)
((int[]) ctx.get(icName))[0]++;
}
}