input shape

[jayanthchennamaneni]

hello ,
I am trying to replicate this DTC with my data off 25000 time steps of single series and 17 features, but when I pass it to the encoder the time steps are reducing but not the features, i tried to transpose the input data but I get dimension error.

can anyone guide me with what is the correct input dimension for the encoder.

data shape = (25000,17),
reshaped = (25000,1 17)??

[FlorentF9]

From the top of my head it should be (N, 25000, 17), with N the number of inputs. So, (1, 25000, 17) for inference on a single series.

[jayanthchennamaneni]

Thanks for replying, I tried using in the way as you specified above but my time steps are reducing but not the features

my input shape was (1, 25000,17)--1series, 25000 time steps, 17 features
the output I get when I predict is (1, 4500, 1)

I tried using Basic dense auto encoders , I had no problem with the shape.
is it happening because of conv1D???