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trial_index,submit_time,queue_time,worker_generator_uuid,start_time,end_time,run_time,program_string,exit_code,signal,hostname,OO_Info_int_param,OO_Info_int_param_two,OO_Info_float_param,OO_Info_choice_param,arm_name,trial_status,generation_node,RESULT1,RESULT2,int_param,float_param,int_param_two,choice_param
0,,,,,,,,,,,,,,,0_0,COMPLETED,SOBOL,1.650668332199999976950266500353,2.108270969299999908486142885522,-19,-84.9489308893680572509765625,0,4
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.24554118939999991511058397009,2.518872439699999965512233757181,-80,-5.796660145875124570125080936123,-37,1
2,1784184466,2,5665826a-ac7a-470e-a695-964ba97fec13,1784184468,1784184474,6,./.tests/optimization_example --int_param='9' --float_param='-37.9553808217660275659' --choice_param='16' --int_param_two='-79' --nr_results=2,0,,runnervm3jd5f,9,-79,-37.955380821766020460472645936534,16,2_0,COMPLETED,BOTORCH_MODULAR,1.667567755199999890436401983607,2.682119477900000159564797286293,9,-37.955380821766027565900003537536,-79,16
3,1784184483,2,5665826a-ac7a-470e-a695-964ba97fec13,1784184485,1784184491,6,./.tests/optimization_example --int_param='-60' --float_param='-44.38151542616967759614' --choice_param='1' --int_param_two='-12' --nr_results=2,0,,runnervm3jd5f,-60,-12,-44.381515426169677596135443309322,1,3_0,COMPLETED,BOTORCH_MODULAR,1.411088066482079961261320022459,2.771038408015980003540335019352,-60,-44.381515426169677596135443309322,-12,1
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========================================================================
Current git-hash: 611f002d8dffbbf7205b3e78c037f864a1724a32 (last fully tested stable version 1 commit ago [7ec7c180ddeb70e69ef837c896ebe061f7046be1, 9375])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[INFO 07-16 06:47:42] ax.storage.sqa_store.with_db_settings_base: Ax SQL storage initialized with SQLAlchemy 2.0.51
Using old run's --time: 60
Using old run's --gpus: 0
Using old run's --max_eval: 2
Run-UUID: 42601e9a-08b1-4b65-a09d-3e42ccd0d32e
/home/runner/.omniax_venvs/Python_3.12.3/x86_64/lib/python3.12/site-packages/plyer/platforms/linux/notification.py:103: UserWarning: The Python dbus package is not installed.
Try installing it with your distribution's package manager, it is usually called python-dbus or python3-dbus, but you might have to try dbus-python instead, e.g. when using pip.
warnings.warn(msg)
/home/runner/.omniax_venvs/Python_3.12.3/x86_64/lib/python3.12/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
warnings.warn("notify-send not found.")
_____ _ _____ ______
/ ___ \ (_)/ ___ \ _ (_____ \
| | | |____ ____ _| | | |____ | |_ ____) )
| | | | \| _ \| | | | | _ \| _) /_____/
| |___| | | | | | | | | |___| | | | | |__ _______
\_____/|_|_|_|_| |_|_|\_____/| ||_/ \___|_______)
|_|
omniopt --continue runs/multi_results_2_results_BOTORCH_MODULAR/0 --live_share
Run-folder : /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/ 1
Continuation from runs/multi_results_2_results_BOTORCH_MODULAR/0
You have less --max_eval 2 than --num_random_steps 20. Switched both.
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=multi_results_2_results_BOTORCH_MODULAR&run_nr=34 for live-results.
You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: BOTORCH_MODULAR for 4 steps.
Run-Program: ./.tests/optimization_example --int_param='%(int_param)' --float_param='%(float_param)' --choice_param='%(choice_param)' --int_param_two='%(int_param_two)' --nr_results=2
Experiment parameters
┏━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name ┃ Type ┃ Lower bound ┃ Upper bound ┃ Values ┃ Type ┃ Log Scale? ┃
┡━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ int_param │ rangeparameter │ -100 │ 10 │ │ int │ No │
│ float_param │ rangeparameter │ -100 │ 10 │ │ float │ No │
│ choice_param │ choiceparameter │ │ │ 1, 2, 4, 8, 16, hallo │ │ │
│ int_param_two │ rangeparameter │ -100 │ 10 │ │ int │ No │
└───────────────┴─────────────────┴─────────────┴─────────────┴───────────────────────┴───────┴────────────┘
config_objectives not found
Your console does not support sixel-images. Will not print Pareto-frontier as a
matplotlib-sixel-plot for RESULT1/RESULT2.
Pareto-Front for RESULT1/RESULT2:
┏━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓
┃ trial_index ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT1 ┃ RESULT2 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩
│ 0 │ -19 │ -84.94893088936806 │ 0 │ 4 │ 1.6506683322 │ 2.1082709693 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────┼──────────────┤
│ 1 │ -80 │ -5.796660145875125 │ -37 │ 1 │ 1.2455411894 │ 2.5188724397 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────┴──────────────┘
Failed Jobs parameters
┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ param1 ┃ param2 ┃ param3 ┃ error_description ┃
┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│ value1 │ value2 │ value3 │ Some error occurred during execution (this is not a real error!). │
└────────┴────────┴────────┴───────────────────────────────────────────────────────────────────┘
Not printing sixel graphics in CI
Not printing sixel graphics in CI
Runtime Infos
┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Number of evaluations ┃ Min time ┃ Max time ┃ Average time ┃ Median time ┃
┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ 2 │ 6.00 sec │ 6.00 sec │ 6.00 sec │ 6.00 sec │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
╭─ ─────────────────────────────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ─────────────────────────────────────────────────────────────────────────────────────── ─╮
│ │
│ ✅ Optimization complete! │
│ │
│ 📊 Trials: 2 succeeded / 0 failed / 4 done / 4 submitted │
│ ⏱️ Duration: 46s │
│ 🏆 Best RESULT1: 1.2455411894 │
│ 🏆 Best RESULT2: 2.1082709693 │
│ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/1/results.csv │
│ 🤖 Model: BOTORCH_MODULAR │
│ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
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2026-07-16 06:47:45 (5665826a-ac7a-470e-a695-964ba97fec13): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-07-16 06:47:46 (5665826a-ac7a-470e-a695-964ba97fec13): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-07-16 06:47:46 (5665826a-ac7a-470e-a695-964ba97fec13): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.05 s/job
2026-07-16 06:47:46 (5665826a-ac7a-470e-a695-964ba97fec13): BOTORCH_MODULAR, eval #1/1 start
2026-07-16 06:47:46 (5665826a-ac7a-470e-a695-964ba97fec13): BOTORCH_MODULAR, starting new job
2026-07-16 06:47:46 (5665826a-ac7a-470e-a695-964ba97fec13): BOTORCH_MODULAR, started new job
2026-07-16 06:47:56 (5665826a-ac7a-470e-a695-964ba97fec13): BOTORCH_MODULAR, new result: RESULT1: 1.667568, RESULT2: 2.682119
2026-07-16 06:47:58 (5665826a-ac7a-470e-a695-964ba97fec13): BOTORCH_MODULAR, 3 done, ▁█▁, finishing jobs, finished 1 job
2026-07-16 06:48:03 (5665826a-ac7a-470e-a695-964ba97fec13): BOTORCH_MODULAR, 3 done, ▁█▁, getting new HP set (no sbatch)
2026-07-16 06:48:03 (5665826a-ac7a-470e-a695-964ba97fec13): BOTORCH_MODULAR, 3 done, ▁█▁, requested 1 jobs, got 1, 4.22 s/job
2026-07-16 06:48:03 (5665826a-ac7a-470e-a695-964ba97fec13): BOTORCH_MODULAR, 3 done, ▁█▁, eval #1/1 start
2026-07-16 06:48:03 (5665826a-ac7a-470e-a695-964ba97fec13): BOTORCH_MODULAR, 3 done, ▁█▁, starting new job
2026-07-16 06:48:03 (5665826a-ac7a-470e-a695-964ba97fec13): BOTORCH_MODULAR, 3 done, ▁█▁, started new job
2026-07-16 06:48:12 (5665826a-ac7a-470e-a695-964ba97fec13): BOTORCH_MODULAR, 3 done, ▁█▁, new result: RESULT1: 1.411088, RESULT2: 2.771038
2026-07-16 06:48:15 (5665826a-ac7a-470e-a695-964ba97fec13): BOTORCH_MODULAR, 4 done, ▁█▁▅, finishing jobs, finished 1 job
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This logs the CPU and RAM usage of the main worker process.
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timestamp,ram_usage_mb,cpu_usage_percent
1784184463,890.67578125,26.6 Copy raw data to clipboard
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RESULT1 (goal: minimize )Best value: 1.2455411894
Achieved at:
- int_param = -80 (r=0.96, strong positive correlation)
- float_param = -5.7966601458751 (r=-0.75, strong negative correlation)
- choice_param = 1 (r=0.709, strong positive correlation)
- RESULT2 = 2.5188724397 (r=-0.319, weak negative correlation)
- int_param_two = -37 (r=-0.168, weak negative correlation)
RESULT2 (goal: minimize )Best value: 2.1082709693
Achieved at:
- float_param = -84.948930889368 (r=0.618, moderate positive correlation)
- int_param_two = 0 (r=-0.512, moderate negative correlation)
- RESULT1 = 1.6506683322 (r=-0.319, weak negative correlation)
- choice_param = 4 (r=0.19, weak positive correlation)
- int_param = -19 (r=-0.161, weak negative correlation)
Top-5 Best Results Parameter Sensitivity Ranking Parameters ranked by absolute Pearson correlation with each result. Stronger correlations (|r| ≥ 0.7) suggest the parameter has more influence on the outcome.
Parameter statistics Parameter Min Max Mean Std Dev Count run_time 6 6 6 0 2 OO_Info_int_param -60 9 -25.5 34.5 2 OO_Info_int_param_two -79 -12 -45.5 33.5 2 OO_Info_float_param -44.3815 -37.9554 -41.1684 3.2131 2 OO_Info_choice_param 1 16 8.5 7.5 2 RESULT1 1.2455 1.6676 1.4937 0.1756 4 RESULT2 2.1083 2.771 2.5201 0.2544 4 int_param -80 9 -37.5 34.7023 4 float_param -84.9489 -5.7967 -43.2706 28.1552 4 int_param_two -79 0 -32 30.2407 4 choice_param 1 16 5.5 6.1847 4