natolambert / mems-bo Goto Github PK
View Code? Open in Web Editor NEWBayesian Optimization of MEMs design
Bayesian Optimization of MEMs design
Hello -- thanks for your work putting together the tutorial and code.
Unfortunately I don't find the environment to be reproducible:
`โฏ conda env create -f environment.yml
Collecting package metadata (repodata.json): done
Solving environment: failedResolvePackageNotFound:
- openssl==1.1.1d=h1de35cc_4
- libffi==3.2.1=h475c297_4
- python==3.7.6=h359304d_2
- appnope==0.1.0=py37_0
- backcall==0.1.0=py37_0
- pickleshare==0.7.5=py37_0
- certifi==2019.11.28=py37_0
- ipython==7.12.0=py37h5ca1d4c_0
- libcxx==4.0.1=hcfea43d_1
- intel-openmp==2019.4=233
- ncurses==6.2=h0a44026_0
- libcxxabi==4.0.1=hcfea43d_1
- mkl-service==2.3.0=py37hfbe908c_0
- blas==1.0=mkl
- mkl_random==1.1.0=py37ha771720_0
- ninja==1.9.0=py37h04f5b5a_0
- zlib==1.2.11=h1de35cc_3
- setuptools==45.2.0=py37_0
- libedit==3.1.20181209=hb402a30_0
- libgfortran==3.0.1=h93005f0_2
- sqlite==3.31.1=ha441bb4_0
- ca-certificates==2020.1.1=0
- jedi==0.16.0=py37_0
- scipy==1.4.1=py37h9fa6033_0
- mkl_fft==1.0.15=py37h5e564d8_0
- wheel==0.34.2=py37_0
- pytorch==1.4.0=py3.7_0
- pexpect==4.8.0=py37_0
- ptyprocess==0.6.0=py37_0
- six==1.14.0=py37_0
- numpy-base==1.18.1=py37h6575580_1
- tk==8.6.8=ha441bb4_0
- ipython_genutils==0.2.0=py37_0
- mkl==2019.4=233
- traitlets==4.3.3=py37_0
- pip==20.0.2=py37_1
- xz==5.2.4=h1de35cc_4
- readline==7.0=h1de35cc_5
- numpy==1.18.1=py37h7241aed_0`
This seems to be a frequently reported issue with using conda and yaml env files, it doesnt seem to be a reliable method for reproducible environments.
Just wanted to raise this as an issue.
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