Hello! Help me please!
I have a recurrent neural network for regression over 100 time steps.
One time step has the initial form:
[98.99920226267315, 98.74175067082459, 99.00645442019002, 98.69461164696499, 183762.0]
In order to enter data into the model, the data undergoes a normalization process
DataNormalization normalizer = new NormalizerStandardize();
normalizer.fit(trainData);
...
finalData.setPreProcessor(normalizer);
After training the model, I input finalData and get the next time step in the output. But the data looks like:
[0.6522, 1.1029, 1.0113, 1.2451, 5.5019]
How can I denormalize the data and compare it to the original values?