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environment.yaml
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environment.yaml
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name: logml
channels:
- pytorch
- defaults
dependencies:
- blas=1.0=mkl
- ca-certificates=2022.10.11=hecd8cb5_0
- certifi=2022.12.7=py39hecd8cb5_0
- flit-core=3.6.0=pyhd3eb1b0_0
- intel-openmp=2022.1.0=haf03e11_3719
- libcxx=14.0.6=h9765a3e_0
- libffi=3.4.2=hecd8cb5_6
- mkl=2022.1.0=hf3af037_209
- ncurses=6.3=hca72f7f_3
- openssl=1.1.1s=hca72f7f_0
- pip=22.3.1=py39hecd8cb5_0
- python=3.9.15=h218abb5_2
- pytorch=1.13.1=py3.9_0
- readline=8.2=hca72f7f_0
- setuptools=65.5.0=py39hecd8cb5_0
- sqlite=3.40.0=h880c91c_0
- tk=8.6.12=h5d9f67b_0
- typing_extensions=4.4.0=py39hecd8cb5_0
- tzdata=2022g=h04d1e81_0
- wheel=0.37.1=pyhd3eb1b0_0
- xz=5.2.8=h6c40b1e_0
- zlib=1.2.13=h4dc903c_0
- pip:
- appnope==0.1.3
- asttokens==2.2.1
- backcall==0.2.0
- charset-normalizer==2.1.1
- contourpy==1.0.6
- cycler==0.11.0
- decorator==5.1.1
- executing==1.2.0
- fonttools==4.38.0
- idna==3.4
- ipdb==0.13.11
- ipython==8.7.0
- jedi==0.18.2
- jinja2==3.1.2
- joblib==1.2.0
- kiwisolver==1.4.4
- markupsafe==2.1.1
- matplotlib==3.6.2
- matplotlib-inline==0.1.6
- networkx==2.8.8
- numpy==1.24.1
- opt-einsum==3.3.0
- packaging==22.0
- pandas==1.5.2
- parso==0.8.3
- patsy==0.5.3
- pexpect==4.8.0
- pgmpy==0.1.20
- pickleshare==0.7.5
- pillow==9.3.0
- prompt-toolkit==3.0.36
- psutil==5.9.4
- ptyprocess==0.7.0
- pure-eval==0.2.2
- pygments==2.13.0
- pyparsing==3.0.9
- python-dateutil==2.8.2
- pytz==2022.7
- requests==2.28.1
- scikit-learn==1.2.0
- scipy==1.9.3
- six==1.16.0
- stack-data==0.6.2
- statsmodels==0.13.5
- threadpoolctl==3.1.0
- tomli==2.0.1
- torch-geometric==2.0.4
- torch-scatter==2.1.0
- torch-sparse==0.6.16
- tqdm==4.64.1
- traitlets==5.8.0
- urllib3==1.26.13
- wcwidth==0.2.5
prefix: /Users/alvaro/miniconda3/envs/logml