A package for chemprobe
Project description
chemprobe
download data
bash download_data.sh
preprocess
python preprocess.py \
--data_path ../data
train
python train.py \
--name TEST \
--exp film \
--fold 0 \
--n_blocks 4 \
--data_path ../data/preprocessed \
--batch_size 16384 \
--gpus 0,1,2,3 \
--num_workers 4 \
--lr 1e-3
permuted label model
python train.py \
--study_path /scratch/wconnell/danger/chemprobe/optuna/exp=film/fold=0/ \
--data_path ../data/preprocessed \
--name perm-fold=0 \
--exp film \
--fold 0 \
--max_epochs 5 \
--batch_size 16384 \
--gpus 3, \
--permute_labels
optimize
python optimize.py \
--study_path /srv/danger/scratch/wconnell/chemprobe/optuna/ \
--data_path ../data/preprocessed \
--exp film \
--fold 0 \
--n_trials 20 \
--prune \
--batch_size 16384 \
--gpus 1,
predict
python predict.py \
--cpds ceranib-2 CAY10618 \
--data_path ../data/hani \
--batch_size 128 \
--gpus 2,
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