name: predict_drug_clinical_trial

channels:

  - rdkit

  - conda-forge

  - anaconda

  - defaults

dependencies:

  - _pytorch_select=0.1=cpu_0

  - beautifulsoup4=4.9.3=pyhb0f4dca_0

  - blas=1.0=mkl

  - brotlipy=0.7.0=py37haf1e3a3_1000

  - bzip2=1.0.8=h1de35cc_0

  - ca-certificates=2020.10.14=0

  - cairo=1.14.12=hc4e6be7_4

  - certifi=2020.6.20=py37_0

  - cffi=1.14.0=py37hc512035_1

  - cryptography=3.1.1=py37hddc9c9b_0

  - cycler=0.10.0=py37_0

  - decorator=4.4.2=py_0

  - fontconfig=2.13.0=h5d5b041_1

  - freetype=2.10.2=ha233b18_0

  - gettext=0.19.8.1=hb0f4f8b_2

  - glib=2.65.0=hc5f4afa_0

  - icu=58.2=h0a44026_3

  - idna=2.10=py_0

  - intel-openmp=2019.4=233

  - joblib=0.16.0=py_0

  - jpeg=9b=he5867d9_2

  - kiwisolver=1.2.0=py37h04f5b5a_0

  - lcms2=2.11=h92f6f08_0

  - libboost=1.67.0=hebc422b_4

  - libcxx=10.0.0=1

  - libedit=3.1.20191231=haf1e3a3_0

  - libffi=3.3=h0a44026_1

  - libgfortran=3.0.1=h93005f0_2

  - libiconv=1.16=h1de35cc_0

  - libpng=1.6.37=ha441bb4_0

  - libtiff=4.1.0=hcb84e12_1

  - libxml2=2.9.10=h3b9e6c8_1

  - libxslt=1.1.34=h83b36ba_0

  - llvm-openmp=10.0.0=h28b9765_0

  - lxml=4.6.1=py37h63b7cb6_0

  - lz4-c=1.9.2=h0a44026_0

  - matplotlib=3.2.2=0

  - matplotlib-base=3.2.2=py37h5670ca0_0

  - mkl=2019.4=233

  - mkl-service=2.3.0=py37hfbe908c_0

  - mkl_fft=1.1.0=py37hc64f4ea_0

  - mkl_random=1.1.1=py37h959d312_0

  - ncurses=6.2=h0a44026_1

  - networkx=2.5=py_0

  - ninja=1.9.0=py37h04f5b5a_0

  - numpy=1.18.5=py37h1da2735_0

  - numpy-base=1.18.5=py37h3304bdc_0

  - olefile=0.46=py37_0

  - openssl=1.1.1h=haf1e3a3_0

  - pandas=1.0.5=py37h959d312_0

  - pcre=8.44=hb1e8313_0

  - pillow=7.2.0=py37ha54b6ba_0

  - pip=20.1.1=py37_1

  - pixman=0.40.0=haf1e3a3_0

  - py-boost=1.67.0=py37h6440ff4_4

  - pycparser=2.20=py_0

  - pyopenssl=19.1.0=py_1

  - pyparsing=2.4.7=py_0

  - pysocks=1.7.1=py37_0

  - python=3.7.7=hf48f09d_4

  - python-dateutil=2.8.1=py_0

  - python-wget=3.2=py_0

  - python_abi=3.7=1_cp37m

  - pytz=2020.1=py_0

  - rdkit=2020.03.3.0=py37h65625ec_1

  - readline=8.0=h1de35cc_0

  - scikit-learn=0.23.1=py37h603561c_0

  - seaborn=0.11.0=py_0

  - setuptools=47.3.1=py37_0

  - six=1.15.0=py_0

  - soupsieve=2.0.1=py_0

  - sqlite=3.32.3=hffcf06c_0

  - threadpoolctl=2.1.0=pyh5ca1d4c_0

  - tk=8.6.10=hb0a8c7a_0

  - tornado=6.0.4=py37h1de35cc_1

  - wget=1.20.1=h051b688_0

  - wheel=0.34.2=py37_0

  - xlrd=1.2.0=py37_0

  - xz=5.2.5=h1de35cc_0

  - zlib=1.2.11=h1de35cc_3

  - zstd=1.4.4=h1990bb4_3

  - pip:

    - absl-py==0.9.0

    - astunparse==1.6.3

    - biobert-embedding==0.1.2

    - boto3==1.14.16

    - botocore==1.17.16

    - cachetools==4.1.1

    - chardet==3.0.4

    - cssselect==1.1.0

    - docutils==0.15.2

    - drugdataloader==0.1

    - future==0.18.2

    - gast==0.3.3

    - google-auth==1.18.0

    - google-auth-oauthlib==0.4.1

    - google-pasta==0.2.0

    - graphics-py==5.0.1.post1

    - grpcio==1.30.0

    - h5py==2.10.0

    - html2json==0.2.4.1

    - icd10-cm==0.0.4

    - importlib-metadata==1.7.0

    - jmespath==0.10.0

    - keras-preprocessing==1.1.2

    - markdown==3.2.2

    - oauthlib==3.1.0

    - opt-einsum==3.2.1

    - protobuf==3.12.2

    - pyasn1==0.4.8

    - pyasn1-modules==0.2.8

    - pypdf2==1.26.0

    - pyquery==1.4.1

    - pytorch-pretrained-bert==0.6.2

    - regex==2020.6.8

    - requests==2.24.0

    - requests-oauthlib==1.3.0

    - rsa==4.6

    - s3transfer==0.3.3

    - scipy==1.4.1

    - tensorboard==2.2.2

    - tensorboard-plugin-wit==1.7.0

    - tensorflow==2.2.0

    - tensorflow-estimator==2.2.0

    - termcolor==1.1.0

    - torch==1.2.0

    - tqdm==4.47.0

    - urllib3==1.25.9

    - werkzeug==1.0.1

    - wrapt==1.12.1

    - zipp==3.1.0