A ML WSorkspace to allow me to isolate and reproduce my dissertation experiments.
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This is a workspace for my dissertation experiments
Install Docker
- Clone the repo
git clone https://github.com/wilsongis/3DP_Experiments.git
- Enter workspace folder
cd 3DP-Experiments
- Create ML Workspace
docker run -d \ -p 8080:8080 \ --name "3DP-workspace" \ -v "${PWD}:/workspace" \ --env AUTHENTICATE_VIA_JUPYTER="mytoken" \ --shm-size 512m \ --restart always \ mltooling/ml-workspace:0.13.2
- Install Python Packages
pip install -U pip setuptools wheel pip install prettypandas conda install -c conda-forge pyomo conda install -c conda-forge ipopt glpk conda install -c r r-irkernel
This will override your existing requirements.txt
.
If you want to append, use >>
instead of >
pip list --format=freeze > requirements.txt
Use this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources.
For more examples, please refer to the Documentation
See the open issues for a list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
Distributed under the MIT License. See LICENSE
for more information.
Your Name - @wilsongis - email
Project Link: https://github.com/wilsongis/3DP_Experiments