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stability_commands.txt
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# We have two cotraining series:
# | Iteration | series A | series B |
# |--------------|------------------------|------------------------|
# | Iteration 0 | schnet0 | alignn0 |
# | Iteration 1 | coAlignn1 | coSchnet1 |
# | Iteration 2 | coSchnet2 | coAlignn2 |
# | Iteration 3 | coAlignn3 | coSchnet3 |
# Iteration 0, series A: schnet0
# PU Data Selection
syncotrainmp_data_selection --experiment schnet0 --ehull015 True
# PU Learning
nohup syncotrainmp_schnet_train --experiment schnet0 --gpu_id 0 --ehull015 True > nohups/schnet0_stability_gpu0.log &
# PU Analysis
syncotrainmp_schnet_analyze --experiment schnet0 --ehull015 True
# Iteration 0, series B: alignn0
# PU Data Selection
syncotrainmp_data_selection --experiment alignn0 --ehull015 True
# PU Learning
nohup syncotrainmp_alignn_train --experiment alignn0 --gpu_id 0 --ehull015 True > nohups/alignn0_stability_gpu0.log &
# PU Analysis
syncotrainmp_alignn_analyze --experiment alignn0 --ehull015 True
# Iteration 1, series A: coAlignn1
# PU Data Selection
syncotrainmp_data_selection --experiment coAlignn1 --ehull015 True
# PU Learning
nohup syncotrainmp_alignn_train --experiment coAlignn1 --gpu_id 0 --ehull015 True > nohups/coAlignn1_stability_gpu0.log &
# PU Analysis
syncotrainmp_alignn_analyze --experiment coAlignn1 --ehull015 True
# Iteration 1, series B: coSchnet1
# PU Data Selection
syncotrainmp_data_selection --experiment coSchnet1 --ehull015 True
# PU Learning
nohup syncotrainmp_schnet_train --experiment coSchnet1 --gpu_id 0 --ehull015 True > nohups/coSchnet1_stability_gpu0.log &
# PU Analysis
syncotrainmp_schnet_analyze --experiment coSchnet1 --ehull015 True
# Iteration 2, series A: coSchnet2
# PU Data Selection
syncotrainmp_data_selection --experiment coSchnet2 --ehull015 True
# PU Learning
nohup syncotrainmp_schnet_train --experiment coSchnet2 --gpu_id 0 --ehull015 True > nohups/coSchnet2_stability_gpu0.log &
# PU Analysis
syncotrainmp_schnet_analyze --experiment coSchnet2 --ehull015 True
# Iteration 2, series B: coAlignn2
# PU Data Selection
syncotrainmp_data_selection --experiment coAlignn2 --ehull015 True
# PU Learning
nohup syncotrainmp_alignn_train --experiment coAlignn2 --gpu_id 0 --ehull015 True > nohups/coAlignn2_stability_gpu0.log &
# PU Analysis
syncotrainmp_alignn_analyze --experiment coAlignn2 --ehull015 True
# Iteration 3, series A: coAlignn3
# PU Data Selection
syncotrainmp_data_selection --experiment coAlignn3 --ehull015 True
# PU Learning
nohup syncotrainmp_alignn_train --experiment coAlignn3 --gpu_id 0 --ehull015 True > nohups/coAlignn3_stability_gpu0.log &
# PU Analysis
syncotrainmp_alignn_analyze --experiment coAlignn3 --ehull015 True
# Iteration 3, series B: coSchnet3
# PU Data Selection
syncotrainmp_data_selection --experiment coSchnet3 --ehull015 True
# PU Learning
nohup syncotrainmp_schnet_train --experiment coSchnet3 --gpu_id 0 --ehull015 True > nohups/coSchnet3_stability_gpu0.log &
# PU Analysis
syncotrainmp_schnet_analyze --experiment coSchnet3 --ehull015 True