Error :::
There was a problem grading your submission. Details:
Incompatible shapes: [1150,64] vs. [1150] [Op:SquaredDifference]
I thing Slicing pattern is not given Correctly. Can you say whether the slicing pattern is given correctly?
Compute the forecast for all the series
rnn_forecast = model_forecast(model, G.SERIES, G.WINDOW_SIZE).squeeze()
Slice the forecast to get only the predictions for the validation set
I think here is the problem…
rnn_forecast = rnn_forecast[G.SPLIT_TIME - G.WINDOW_SIZE:-1]
Please help me. I am deal this for last 10 days.
Please read this topic on how to interpret output shapes in a time series problem and fix your model.
There’s nothing wrong with the starter code. The slicing is done correctly.
Please use the model_forecast code as reference and fix your model.
print(model.summary()) if it helps.
Hi, I also facing this issues, it show my model is compatible to windowed datasets but also facing the incompatible shapes, may I know how to fix it?
Did you read the link (in the 1st response to the original post) I posted on how to interpret shapes in a time series problem?
Ya, thank you I have already read the link (in the 1st response to the original post). But I don’t know which parameter should I change, may I know which parameter should I change to solve the problem? Sorry for any inconvenience caused. Thank you.
Pay attention to the return_sequences parameter of the final recurrent layer.
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