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Standard and Hybrid Deep Learning Multivariate-Multi-Step & Univariate-Multi-Step Time Series Forecasting.

License: MIT License

Python 100.00%
deep-learning deep-neural-networks time-series keras tensorflow

imbrium's Issues

About the input shape of predictor.predict

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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