accuracy_template_script.sh

# python -m learning.experiments.grasping_experiment_scripts.port_fitting_experiment --existing-exp-name  gnp-boxv2-run1 --ported-exp-name pf10-boxv2-run1 --belief particle --num-train-objs-to-port 250 --num-test-objs-to-port 250 --n-particles 10
# python -m learning.experiments.grasping_experiment_scripts.port_fitting_experiment --existing-exp-name gnp-boxv2-run1 --ported-exp-name pf100-boxv2-run1 --belief particle --num-train-objs-to-port 250 --num-test-objs-to-port 250 --n-particles 100
#python -m learning.experiments.grasping_experiment_scripts.port_fitting_experiment --existing-exp-name gnp-boxv2-run1 --ported-exp-name pf10000-boxv2-run1 --belief particle --num-train-objs-to-port 250 --num-test-objs-to-port 250 --n-particles 10000

# python -m learning.experiments.grasping_experiment_scripts.port_fitting_experiment --existing-exp-name  gnp-snv2scaleddim-run10 --ported-exp-name pf10-snv2scaledim-run10 --belief particle --num-train-objs-to-port 250 --num-test-objs-to-port 250 --n-particles 10
#python -m learning.experiments.grasping_experiment_scripts.port_fitting_experiment --existing-exp-name gnp-snv2scaleddim-run10 --ported-exp-name pf100-snv2scaledim-run10 --belief particle --num-train-objs-to-port 250 --num-test-objs-to-port 250 --n-particles 100
python -m learning.experiments.grasping_experiment_scripts.port_fitting_experiment --existing-exp-name gnp-snv2scaleddim-run10 --ported-exp-name pf10000-snv2scaledim-run10 --belief particle --num-train-objs-to-port 250 --num-test-objs-to-port 250 --n-particles 10000