This repository contains the code to follow along with the hands-on-tutorial on opportunities and challenges for online deep learning, held at ECML PKDD 2023.
To run the provided code, we suggest creating a new Python environment using e.g. Anaconda or venv.
To set up your environment, first navigate to the demo's directory in your terminal.
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When using Anaconda run
conda env create --file env.yml
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Once the installation has finished activate your environment with
conda activate deep-river-demo
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When using venv run
python3 -m venv deep-river-demo
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Activate the enviroment on Mac/Linux using
source deep-river-demo/bin/activate
or on Windows using
deep-river-demo/Scripts/activate
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Install the requirements by running
pip install -r requirements.txt
Open the first Jupyter Notebook file using
jupyter lab notebooks/overview.ipynb
and follow along the tutorial by clicking the highlighted links in the outline!