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run_lso.sh
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#Symbolic Regression Experiments - SRBecnh Datasets
###### Strogatz
# GWO
python LSO_eval.py --reload_model ./weights/snip-e2e-sr.pth --eval_lso_on_pmlb True --pmlb_data_type strogatz --target_noise 0.0 --max_input_points 200 --lso_optimizer gwo --lso_pop_size 50 --lso_max_iteration 80 --lso_stop_r2 0.99 --beam_size 2
# NeverGrad
python LSO_eval.py --reload_model ./weights/snip-e2e-sr.pth --eval_lso_on_pmlb True --pmlb_data_type strogatz --target_noise 0.0 --max_input_points 200 --lso_optimizer ngopt --lso_pop_size 50 --lso_max_iteration 80 --lso_stop_r2 0.99 --beam_size 2
###### Feynman
# GWO
python LSO_eval.py --reload_model ./weights/snip-e2e-sr.pth --eval_lso_on_pmlb True --pmlb_data_type feynman --target_noise 0.0 --max_input_points 200 --lso_optimizer gwo --lso_pop_size 50 --lso_max_iteration 80 --lso_stop_r2 0.99 --beam_size 2 --save_results True
# NeverGrad
python LSO_eval.py --reload_model ./weights/snip-e2e-sr.pth --eval_lso_on_pmlb True --pmlb_data_type feynman --target_noise 0.0 --max_input_points 200 --lso_optimizer ngopt --lso_pop_size 50 --lso_max_iteration 80 --lso_stop_r2 0.99 --beam_size 2
###### Blackbox
# GWO
python LSO_eval.py --reload_model ./weights/snip-e2e-sr.pth --eval_lso_on_pmlb True --pmlb_data_type blackbox --target_noise 0.0 --max_input_points 200 --lso_optimizer gwo --lso_pop_size 50 --lso_max_iteration 80 --lso_stop_r2 0.99 --beam_size 2 --save_results True
# NeverGrad
python LSO_eval.py --reload_model ./weights/snip-e2e-sr.pth --eval_lso_on_pmlb True --pmlb_data_type blackbox --target_noise 0.0 --max_input_points 200 --lso_optimizer ngopt --lso_pop_size 50 --lso_max_iteration 80 --lso_stop_r2 0.99 --beam_size 2