a general question about attributes normalization.
i do something like
DataNormalization normalizer = new NormalizerStandardize(); normalizer.fit(trainingData); normalizer.transform(trainingData); normalizer.transform(testData);
to normalize my dataset, but i am wondering if it have to be done always, not at all or only on specific case.
Now, this is my scenario, used just as a test case
since the data are “related” on cols, and the scale it’s veryt different from one cols to another (unit of measure it’s different, like pressure and temperature and windspeed) should i normalize this dataset or convert it in some way? How and when should data normalization be used?