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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,1.92126782660000006153211415949,2.789508089299999937793472781777,-72,-82.1080569922924041748046875,-57,16
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.979322078000000040276518120663,2.893550852899999803469199832762,8,9.173729450756937353617104236037,-28,8
2,1784443425,2,86ab4ede-9b3e-47d3-b94d-a2d7522e7e16,1784443427,1784443433,6,./.tests/optimization_example --int_param='-100' --float_param='-100' --choice_param='16' --int_param_two='2' --nr_results=2,0,,runnervm76tkm,-100,2,-100,16,2_0,COMPLETED,BOTORCH_MODULAR,1.462744624900000012246437108843,2.792240553400000102612921182299,-100,-100,2,16
3,1784443438,2,86ab4ede-9b3e-47d3-b94d-a2d7522e7e16,1784443440,1784443446,6,./.tests/optimization_example --int_param='-100' --float_param='-32.113770056953221399' --choice_param='16' --int_param_two='7' --nr_results=2,0,,runnervm76tkm,-100,7,-32.113770056953221398998721269891,16,3_0,COMPLETED,BOTORCH_MODULAR,1.152967023504060106731117230083,2.124473826118869812518141770852,-100,-32.113770056953221398998721269891,7,16
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========================================================================
Current git-hash: 40e86984857e047bcfb600b452b0692331ba16d4 (version: 9396)
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 07-19 06:43:41] ax.service.utils.with_db_settings_base: Ax currently requires a sqlalchemy version below 2.0. This will be addressed in a future release. Disabling SQL storage in Ax for now, if you would like to use SQL storage please install Ax with mysql extras via `pip install ax-platform[mysql]`.
Using old run's --time: 60
Using old run's --gpus: 0
Using old run's --max_eval: 2
Run-UUID: e2163e08-69e0-48ae-87df-02419e53bf71
/home/runner/.omniax_venvs/Python_3.10.12/x86_64/lib/python3.10/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_3.10.12/x86_64/lib/python3.10/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
warnings.warn("notify-send not found.")
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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=42 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 │
└───────────────┴─────────────────┴─────────────┴─────────────┴───────────────────────┴───────┴────────────┘
Result-Names
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT1 │ min │
│ RESULT2 │ min │
└─────────────┴─────────────┘
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 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│ 3 │ -100 │ -32.11377005695322 │ 7 │ 16 │ 1.15296702350406 │ 2.12447382611887 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┘
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: 36s │
│ 🏆 Best RESULT1: 1.15296702350406 │
│ 🏆 Best RESULT2: 2.12447382611887 │
│ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/1/results.csv │
│ 🤖 Model: BOTORCH_MODULAR │
│ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
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2026-07-19 06:43:44 (86ab4ede-9b3e-47d3-b94d-a2d7522e7e16): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-07-19 06:43:45 (86ab4ede-9b3e-47d3-b94d-a2d7522e7e16): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-07-19 06:43:45 (86ab4ede-9b3e-47d3-b94d-a2d7522e7e16): BOTORCH_MODULAR, requested 1 jobs, got 1, 1.16 s/job
2026-07-19 06:43:45 (86ab4ede-9b3e-47d3-b94d-a2d7522e7e16): BOTORCH_MODULAR, eval #1/1 start
2026-07-19 06:43:45 (86ab4ede-9b3e-47d3-b94d-a2d7522e7e16): BOTORCH_MODULAR, starting new job
2026-07-19 06:43:45 (86ab4ede-9b3e-47d3-b94d-a2d7522e7e16): BOTORCH_MODULAR, started new job
2026-07-19 06:43:54 (86ab4ede-9b3e-47d3-b94d-a2d7522e7e16): BOTORCH_MODULAR, new result: RESULT1: 1.462745, RESULT2: 2.792241
2026-07-19 06:43:56 (86ab4ede-9b3e-47d3-b94d-a2d7522e7e16): BOTORCH_MODULAR, 3 done, ▁▁█, finishing jobs, finished 1 job
2026-07-19 06:43:58 (86ab4ede-9b3e-47d3-b94d-a2d7522e7e16): BOTORCH_MODULAR, 3 done, ▁▁█, getting new HP set (no sbatch)
2026-07-19 06:43:58 (86ab4ede-9b3e-47d3-b94d-a2d7522e7e16): BOTORCH_MODULAR, 3 done, ▁▁█, requested 1 jobs, got 1, 1.48 s/job
2026-07-19 06:43:58 (86ab4ede-9b3e-47d3-b94d-a2d7522e7e16): BOTORCH_MODULAR, 3 done, ▁▁█, eval #1/1 start
2026-07-19 06:43:58 (86ab4ede-9b3e-47d3-b94d-a2d7522e7e16): BOTORCH_MODULAR, 3 done, ▁▁█, starting new job
2026-07-19 06:43:58 (86ab4ede-9b3e-47d3-b94d-a2d7522e7e16): BOTORCH_MODULAR, 3 done, ▁▁█, started new job
2026-07-19 06:44:07 (86ab4ede-9b3e-47d3-b94d-a2d7522e7e16): BOTORCH_MODULAR, 3 done, ▁▁█, new result: RESULT1: 1.152967, RESULT2: 2.124474
2026-07-19 06:44:10 (86ab4ede-9b3e-47d3-b94d-a2d7522e7e16): 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
1784443422,755.94140625,28.5 Copy raw data to clipboard
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RESULT1 (goal: minimize )Best value: 1.1529670235041
Achieved at:
- int_param_two = 7 (r=-0.862, strong negative correlation)
- RESULT2 = 2.1244738261189 (r=0.847, strong positive correlation)
- int_param = -100 (r=0.765, strong positive correlation)
- choice_param = 16 (r=-0.595, moderate negative correlation)
- float_param = -32.113770056953 (r=0.191, weak positive correlation)
RESULT2 (goal: minimize )Best value: 2.1244738261189
Achieved at:
- RESULT1 = 1.1529670235041 (r=0.847, strong positive correlation)
- int_param_two = 7 (r=-0.577, moderate negative correlation)
- int_param = -100 (r=0.558, moderate positive correlation)
- choice_param = 16 (r=-0.459, moderate negative correlation)
- float_param = -32.113770056953 (r=-0.125, 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 -100 -100 -100 0 2 OO_Info_int_param_two 2 7 4.5 2.5 2 OO_Info_float_param -100 -32.1138 -66.0569 33.9431 2 OO_Info_choice_param 16 16 16 0 2 RESULT1 1.153 1.9793 1.6291 0.34 4 RESULT2 2.1245 2.8936 2.6499 0.3063 4 int_param -100 8 -66 44.2267 4 float_param -100 9.1737 -51.262 42.8544 4 int_param_two -57 7 -19 25.7002 4 choice_param 8 16 14 3.4641 4