@Override
public void doTransform(FeatureVector featureVector) {
Map<String, Map<String, Double>> floatFeatures = featureVector.getFloatFeatures();
if (floatFeatures == null) {
return;
}
Map<String, Double> feature1 = floatFeatures.get(fieldName1);
if (feature1 == null || feature1.isEmpty()) {
return;
}
Map<String, Double> output = Util.getOrCreateFloatFeature(outputName, floatFeatures);
for (Entry<String, Double> feature : feature1.entrySet()) {
Double dbl = LinearLogQuantizeTransform.quantize(feature.getValue(), bucket);
Double newVal = feature.getValue() - dbl;
String name = feature.getKey() + '[' + bucket + "]=" + dbl;
output.put(name, newVal);
}
}
@Override
public void doTransform(FeatureVector featureVector) {
Map<String, Map<String, Double>> floatFeatures = featureVector.getFloatFeatures();
if (floatFeatures == null) {
return;
}
Map<String, Double> feature1 = floatFeatures.get(fieldName1);
if (feature1 == null) {
return;
}
Map<String, Double> feature2 = floatFeatures.get(fieldName2);
if (feature2 == null) {
return;
}
Double div = feature2.get(key2);
if (div == null) {
return;
}
Double scale = 1.0 / (constant + div);
Map<String, Double> output = Util.getOrCreateFloatFeature(outputName, floatFeatures);
Set<String> allKeys = feature1.keySet();
for (String key : allKeys) {
if (keys == null || keys.contains(key)) {
Double val = feature1.get(key);
if (val != null) {
output.put(key + "-d-" + key2, val * scale);
}
}
}
}
