appml.yml

# 14/04/2022
#
# The safe practice is to create different environments 
# for different groups of packages used for specific jobs.
# Use "appml.yml" to create an environment with conda:
#     conda env create -f appml.yml
# To activate `appml`:
#     conda activate appml
# To deactivate `appml`:
#     conda deactivate
# * To remove the environment:
#     conda remove -n appml --all
#
# NOTE:
# * If xgboost fails to install or import on Mac, try install OpenMP:
#   brew install libomp
#
name: appml
channels:
- conda-forge
- anaconda
- pyg
dependencies:
- python==3.8.12
- notebook==6.4.6
- numpy==1.21.5
- scipy==1.7.0
- matplotlib==3.5.1
- pandas==1.4.1
- h5py==3.6.0
- scikit-learn==1.0.2
- xgboost==1.5.1
- lightgbm==3.3.2
- seaborn==0.11.2
- pytorch
- pyg
- torchvision
- umap-learn
- bayesian-optimization
- optuna
- pip
- pip:
  - graphviz
  - tensorflow==2.8