Data scaling Issue

[ngupta-slb]

Why the dataset is normalized twice? First time, the data is normalized inside the read_data() method of CIDatasetBenchmark class and then second time, it is again normalized inside the forecast method of the Model class inside Timer.py?

Here is the code reference:

1. Data scaling inside read_data() method

Thank you for your response in advance!