hdbo.yml

name: hdbo
channels:
  - defaults
dependencies:
  - python==3.8.3
  - pip=20
  - glib==2.63.1 # Some machines missing glib...
  - conda-forge::libblas=*=*mkl
  - conda-forge::git # needed to clone HPO
  - conda-forge::cython==0.29.19
  - conda-forge::networkx==2.4
  - conda-forge::matplotlib==3.2.2
  - conda-forge::psutil==5.7.0
  - conda-forge::h5py==2.10.0
  - conda-forge::numpy==1.18.5
  - conda-forge::scipy==1.4.1
  - conda-forge::boto3==1.14.14
  - conda-forge::lpsolve55
  - conda-forge::gpy==1.9.9 # pip's variant is errornous
  - conda-forge::gpyopt==1.2.6
  - conda-forge::mlflow==1.9.1 # sometimes fails on pip, dunno why.
  - conda-forge::scikit-learn
  - conda-forge::cma
  - conda-forge::celery
  - conda-forge::pyyaml
  - conda-forge::ruamel.yaml
  - conda-forge::coloredlogs
  - conda-forge::pyDOE
  - conda-forge::imageio
  - pytorch::pytorch
  - pytorch::torchvision
  - pytorch::cpuonly
  - pip:
    - disjoint-set==0.6.2
    - pid==3.0.3
    - ConfigSpace==0.4.11 # this works with glibc 2.12 which xgpa is on
    - noisyopt
    - git+https://github.com/eric-vader/HPOlib2.git#egg=hpolib2
    - git+https://github.com/ksehic/LassoBench.git
    - tensorflow==2.2.0
#    - ./tensorflow-2.2.0-cp38-cp38-linux_x86_64.whl
#  - cudnn=7.6.5=cuda10.1_0
#  - cudatoolkit=10.1