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View Code? Open in Web Editor NEWStandard and Hybrid Deep Learning Multivariate-Multi-Step & Univariate-Multi-Step Time Series Forecasting.
License: MIT License
Standard and Hybrid Deep Learning Multivariate-Multi-Step & Univariate-Multi-Step Time Series Forecasting.
License: MIT License
Hi there. Great project. I gave it a shot and encountered an issue.
I've trained the model using PureMulti
, create_lstm
and fit_model
methods.
This is the X_input shape from the predictor (96 is window size): (26107, 96, 7)
And I want to get the predictions from the separate dataset. I've transformed my test dataset using data_prep_multi
and multistep_prep_standard
methods. After that, the test dataset shape is (8575, 96, 7)
but still getting dimension/shape errors.
So, what is the proper format of data while passing it to predictor.predict?
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