Updated code for other, non-NSGA experiments
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@@ -15,6 +15,7 @@ from src.preprocessing import build_preprocessor
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from src.models import make_model
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from src.stability import compute_shap_matrix
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def save_checkpoint(path, gen, pop, seed):
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state = {
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"gen": gen,
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47
runs.txt
47
runs.txt
@@ -5,28 +5,29 @@ python3 -m src.protocols_methodology.exp_cv --dataset adult --algo rf --n-folds
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Bootstrap baseline:
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python3 -m src.protocols_methodology.exp_bootstrap --dataset adult --algo rf --n-bootstrap 30 --seeds 0 1 2 3 4
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Noise baseline:
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python3 -m src.protocols_methodology.exp_noise --dataset adult --algo rf --n-replicates 30 --noise-std 0.01 --seeds 0 1 2 3 4
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Small run: compute 0
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tmux new -s small
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python3 -m src.protocols_methodology.run_nsga_protocols --dataset adult --generations 3 --pop-size 8 --seed 0
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python3 -m src.protocols_methodology.run_nsga_protocols --dataset adult --generations 3 --pop-size 8 --seed 0 --experiment small_deap_nsga_protocol_study
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tmux attach-session -t small
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Medium run: compute 1
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tmux new -s medium
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python3 -m src.protocols_methodology.run_nsga_protocols --dataset adult --generations 10 --pop-size 24 --seed 0
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python3 -m src.protocols_methodology.run_nsga_protocols --dataset adult --generations 10 --pop-size 24 --seed 0 --experiment medium_deap_nsga_protocol_study
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tmux attach-session -t medium
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Larger run: compute 3
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tmux new -s larger
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python3 -m src.protocols_methodology.run_nsga_protocols --dataset adult --generations 20 --pop-size 40 --seed 0
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python3 -m src.protocols_methodology.run_nsga_protocols --dataset adult --generations 20 --pop-size 40 --seed 0 --experiment larger_deap_nsga_protocol_study
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tmux attach-session -t larger
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rsync -avz --progress /home/mlly/projects/deap-based-automl-experiment-framework/. root@192.168.2.69:/mnt/user/exp_results/small_deap_nsga_protocol_study
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rsync -avz --progress /home/mlly/projects/deap-based-automl-experiment-framework/. root@192.168.2.69:/mnt/user/exp_results/medium_deap_nsga_protocol_study
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rsync -avz --progress /home/mlly/projects/deap-based-automl-experiment-framework/. root@192.168.2.69:/mnt/user/exp_results/larger_deap_nsga_protocol_study
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Send back:
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The three baseline summary csv files:
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runs/protocol_cv/__cv_summary.csv
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@@ -43,3 +44,31 @@ runs/_protocol_study/cv/pareto_front.csv
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runs/_protocol_study/bootstrap/pareto_front.csv
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runs/_protocol_study/noise/pareto_front.csv
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Baseline Error:
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(.venv) [root@compute2 deap-based-automl-experiment-framework]# python3 -m src.protocols_methodology.exp_cv --dataset adult --algo rf --n-folds 5 --seeds 0 1 2 3 4
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99%|===================| 2018/2048 [00:20<00:00] Traceback (most recent call last):
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File "/usr/lib64/python3.9/runpy.py", line 197, in _run_module_as_main
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return _run_code(code, main_globals, None,
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File "/usr/lib64/python3.9/runpy.py", line 87, in _run_code
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exec(code, run_globals)
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File "/home/mlly/projects/deap-based-automl-experiment-framework/src/protocols_methodology/exp_cv.py", line 195, in <module>
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main()
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File "/home/mlly/projects/deap-based-automl-experiment-framework/src/protocols_methodology/exp_cv.py", line 153, in main
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summary, rep_rows = run_cv_protocol(
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File "/home/mlly/projects/deap-based-automl-experiment-framework/src/protocols_methodology/exp_cv.py", line 81, in run_cv_protocol
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agg_std_rep, stability_rep, _, _ = shap_stability_from_matrices(shap_mats_with_names)
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File "/home/mlly/projects/deap-based-automl-experiment-framework/src/stability.py", line 251, in shap_stability_from_matrices
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raise ValueError(
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ValueError: Need at least 2 models to estimate stability, got 1
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Noise baseline:
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python3 -m src.protocols_methodology.exp_noise --dataset adult --algo rf --n-replicates 30 --noise-std 0.01 --seeds 0 1 2 3 4
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