Closed afwefrre closed 2 years ago
You just need to replace data_name
with the regression dataset. E.g:
CUDA_VISIBLE_DEVICES=0 python finetune.py \
--seed 12 \
--encoder_name GNN \
--batch_size 64 \
--predictor_hidden_feats 32 \
--patience 100 \
--encoder_path ./dump/Pretrain/gnn-kmpnn-model/GCNNodeEncoder_0910_0900_2000th_epoch.pkl \
--readout_path ./dump/Pretrain/gnn-kmpnn-model/WeightedSumAndMax_0910_0900_2000th_epoch.pkl \
--lr 0.001 \
--predictor nonlinear \
--eval nonfreeze \
--data_name FreeSolv \
--dump_path ./dump \
--exp_name KG-finetune-gnn \
--exp_id freesolv
您好,请问可以给出一个适用于回归任务的示例吗? 类似于分类任务所给出的这种示例