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An implementation of gEDMD utilizing novel research concepts to develop a dimensionality-reducing modeling codebase. This work is almost entirely based on Klus et al. 2020 (https://arxiv.org/pdf/1909.10638.pdf)

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Koopman ML

Because this was developed using Pymp in a Unix environment, some of this code cannot be run on Windows. Our dataset was found on Kaggle

Installation

Use the package manager pip to install required packages.

pip install -r requirements.txt

Running

To calculate the epsilon values from the gEDMD method:

python generator.py

To list the previously calculated epsilon values:

python loader.py

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An implementation of gEDMD utilizing novel research concepts to develop a dimensionality-reducing modeling codebase. This work is almost entirely based on Klus et al. 2020 (https://arxiv.org/pdf/1909.10638.pdf)

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