Iterative-Cluster-Analysis-Using-Multi-Omics-Modalities/clustering-feature-importance.yml at main · BioITHackathons/Iterative-Cluster-Analysis-Using-Multi-Omics-Modalities · GitHub

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name: cluster-feature-importance
channels:
  - conda-forge
dependencies:
  - _libgcc_mutex=0.1=conda_forge
  - _openmp_mutex=4.5=2_gnu
  - _py-xgboost-mutex=2.0=cpu_0
  - bzip2=1.0.8=h7f98852_4
  - ca-certificates=2021.10.8=ha878542_0
  - gh=2.9.0=ha8f183a_0
  - joblib=1.1.0=pyhd8ed1ab_0
  - ld_impl_linux-64=2.36.1=hea4e1c9_2
  - libblas=3.9.0=14_linux64_openblas
  - libcblas=3.9.0=14_linux64_openblas
  - libffi=3.4.2=h7f98852_5
  - libgcc-ng=11.2.0=h1d223b6_16
  - libgfortran-ng=11.2.0=h69a702a_16
  - libgfortran5=11.2.0=h5c6108e_16
  - libgomp=11.2.0=h1d223b6_16
  - liblapack=3.9.0=14_linux64_openblas
  - libnsl=2.0.0=h7f98852_0
  - libopenblas=0.3.20=pthreads_h78a6416_0
  - libstdcxx-ng=11.2.0=he4da1e4_16
  - libuuid=2.32.1=h7f98852_1000
  - libxgboost=1.5.1=cpu_h3d145d1_2
  - libzlib=1.2.11=h166bdaf_1014
  - ncurses=6.3=h27087fc_1
  - openssl=3.0.3=h166bdaf_0
  - pip=22.0.4=pyhd8ed1ab_0
  - py-xgboost=1.5.1=cpu_py310hd1aba9c_2
  - python=3.10.4=h2660328_0_cpython
  - python_abi=3.10=2_cp310
  - readline=8.1=h46c0cb4_0
  - sqlite=3.38.3=h4ff8645_0
  - threadpoolctl=3.1.0=pyh8a188c0_0
  - tk=8.6.12=h27826a3_0
  - tzdata=2022a=h191b570_0
  - wheel=0.37.1=pyhd8ed1ab_0
  - xz=5.2.5=h516909a_1
  - zlib=1.2.11=h166bdaf_1014
  - pip:
    - numpy==1.22.3
    - scikit-learn==1.0.2
    - scipy==1.8.0
    - setuptools==62.1.0
    - xgboost==1.5.1
prefix: /opt/conda/envs/cluster-feature-importance