/Intro_to_Fraud_Detection/conda_gpu.yaml

https://github.com/miguelgfierro/sciblog_support · YAML · 43 lines · 25 code · 7 blank · 11 comment · 0 complexity · 5616d4878eeb49880ab00c57b6931d13 MD5 · raw file 

    

  1. # To create the conda environment:
    2. 

  2. # $ conda env create -n my_env_name -f conda.yaml
    3. 

  3. #
    4. 

  4. # To update the conda environment:
    5. 

  5. # $ conda env update -n my_env_name -f conda.yaml
    6. 

  6. #
    7. 

  7. # To register the conda environment in Jupyter:
    8. 

  8. # $ python -m ipykernel install --user --name my_env_name --display-name "Python (my_env_name)"
    9. 

  9. #
    10. 

  10. 

  11. channels:
    12. 

  12. - anaconda
    13. 

  13. - conda-forge
    14. 

  14. - defaults
    15. 

  15. dependencies:
    16. 

  16. - python==3.6
    17. 

  17. - numpy==1.13.3
    18. 

  18. - flask==1.0.2
    19. 

  19. - ipykernel==4.6.1
    20. 

  20. - pip:
    21. 

  21.   - pandas==0.22.0
    22. 

  22.   - scipy==1.1.0
    23. 

  23.   - scikit-learn==0.19.1
    24. 

  24.   - tornado==4.5.3
    25. 

  25.   - jupyter==1.0.0
    26. 

  26.   # In case you want to install LigthGBM with GPU, make sure you add the correct path
    27. 

  27.   - lightgbm==2.1.1 --install-option=--gpu --install-option="--opencl-include-dir=/usr/local/cuda/include/" --install-option="--opencl-library=/usr/local/cuda/targets/x86_64-linux/lib/libOpenCL.so"
    28. 

  28.   - matplotlib==2.1.2
    29. 

  29.   - requests==2.18.4
    30. 

  30.   - asyncio==3.4.3
    31. 

  31.   - aiohttp==2.0.3
    32. 

  32.   - SQLAlchemy==1.2.4
    33. 

  33.   # For websockets, add flask-socketio, gevent-websocket, wsaccel and ujson
    34. 

  34.   - flask-socketio>=3.0.1
    35. 

  35.   - gevent-websocket>=0.10.1
    36. 

  36.   - wsaccel>=0.6.2
    37. 

  37.   - ujson>=1.35
    38.