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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.search.ranking;
class LinearNormalizer extends Normalizer {
LinearNormalizer(int maxSize) {
super(maxSize);
}
void normalize() {
double min = Float.MAX_VALUE;
double max = -Float.MAX_VALUE;
for (int i = 0; i < size; i++) {
double val = data[i];
if (val < Float.MAX_VALUE && val > -Float.MAX_VALUE) {
min = Math.min(min, data[i]);
max = Math.max(max, data[i]);
}
}
double scale = 0.0;
double midpoint = 0.0;
if (max > min) {
scale = 1.0 / (max - min);
midpoint = (min + max) * 0.5;
}
for (int i = 0; i < size; i++) {
double old = data[i];
data[i] = 0.5 + scale * (old - midpoint);
}
}
String normalizing() { return "linear"; }
}
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