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N-euro

place holder for N-euro Predictor public version. full code will be out later. Here we provide a demo code first.

N-euro filter demo

Provides demo code for N-euro Predictor paper.

requirement

  1. The main model required for this demo code is the PytorchForecasting library. you can find the installation guidance here: https://pytorch-forecasting.readthedocs.io/en/stable/getting-started.html
  2. After installation of this librabry, find the path where this library is installed. For example, mine is at '/usr/local/lib/python3.9/site-packages/pytorch_forecasting/'; Inside the library, go to 'data/' folder and you will see a file called 'timeseries.py'. Replace the original file with the one in the supp folder.
  3. Install the jupyter notebook. Reference: https://jupyter.org/install
  4. Then you are all set to run the N-euro-demo.ipynb.

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place holder for N-euro Predictor public version

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