Final project for Stanford CS229
cd
intoamelie-229-main
- Run
conda env create -f environment.yml
- Activate the conda environment with
conda activate amelie
cd
toamelie/
and runpython -m pip install -e .
cd
toamelie/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 justcp
it from my directory) - Run
jupyter notebook
in the folder containingtrain.ipynb
- Open your browser to whatever it address it gives you (and do ssh tunneling if you're on lab machine)