I have an application that can generate 50 data in 1 second,which means the sampling_rate of my application is 50Hz. then theb data type is timeseries. then I make my data like below before training.

steps= 50
inp = []
out = []
for i in range(len(data_scaled_out) - (steps)):

inp data shape is (50,89)

if I use data shape (50,89) is it the same I change the model's sampling rate to 1Hz? means that the model can only predict 1 data in 1 second? because my professor said that if I use the input shape (50.89) it is the same as me downsampling the frequency. Is that true?

  • $\begingroup$ Could you please clarify which variable has the shape (50, 89), and what are the shapes/sizes of the other variables? $\endgroup$
    – Lynn
    Dec 20, 2022 at 11:50
  • $\begingroup$ I have edit the question $\endgroup$ Dec 20, 2022 at 12:49
  • $\begingroup$ And what are the shapes/sizes of your other variables - data_scaled_in, data_scaled_out, and out? $\endgroup$
    – Lynn
    Dec 30, 2022 at 5:49


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