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amelie-229

Final project for Stanford CS229

Installation

  • cd into amelie-229-main
  • Run conda env create -f environment.yml
  • Activate the conda environment with conda activate amelie
  • cd to amelie/ and run python -m pip install -e .
  • cd to amelie/pheno_data and run ./BUILD
  • Find the path to your conda environment (should be something like /cluster/u/nikcaryo/software/miniconda/envs/amelie/)
  • Open the python terminal with python -i
  • Do import nltk
  • Then nltk.download('wordnet', download_dir="{path to your conda}/lib/nltk_data}"
  • Then nltk.download('stopwords', download_dir="{path to your conda}/lib/nltk_data}"
  • Exit by typing exit()
  • Download the training data and unzip all the pkl files into amelie_process_dir (James can just cp it from my directory)
  • Run jupyter notebook in the folder containing train.ipynb
  • Open your browser to whatever it address it gives you (and do ssh tunneling if you're on lab machine)

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Final project for Stanford CS229

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