41 lines
995 B
Docker
41 lines
995 B
Docker
# Use the official TensorFlow image with GPU support
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FROM tensorflow/tensorflow:latest-gpu-jupyter
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# Install necessary packages
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RUN apt-get update && apt-get install -y --no-install-recommends \
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build-essential \
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curl \
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ca-certificates \
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&& rm -rf /var/lib/apt/lists/*
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# RUN useradd -m -s /bin/bash oleg
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RUN mkdir -p /workspace/tf_cache
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# Install packages
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RUN pip install jupyterlab
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RUN pip install pandas
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RUN pip install numpy
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RUN pip install plotly
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RUN pip install seaborn
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RUN pip install statsmodels
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RUN pip install scikit-learn
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RUN pip install Arch
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RUN pip install Quantlib
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RUN pip install Backtrader
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RUN pip install pyfolio
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RUN pip install XGBoost
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# Install additional applications
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RUN apt update
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RUN apt-get install graphviz -y
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# Set the working directory
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WORKDIR /workspace
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# Expose the port for JupyterLab
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EXPOSE ${JUPYTER_PORT}
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# Command to run JupyterLab
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CMD ["sh", "-c", "jupyter lab --ip=0.0.0.0 --port=9999 --allow-root --no-browser --NotebookApp.token=''"] |