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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,1.046356074800000035551761357056,2.517945446599999748116260889219,-19,-91.86107762157917022705078125,-25,8
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,1.721966276000000073409523793089,2.132842830700000025245799406548,-97,1.924478917096932306662893097382,-6,16
2,1784576832,2,5c55ca1d-710d-45e4-a512-7150a4d11d73,1784576834,1784576840,6,./.tests/optimization_example --int_param='-7' --float_param='-8.30452092443619172002' --choice_param='2' --int_param_two='-18' --nr_results=2,0,,runnervm76tkm,-7,-18,-8.30452092443618994366261176765,2,2_0,COMPLETED,BOTORCH_MODULAR,1.231014752100000109180655272212,2.511503507900000098373993751011,-7,-8.3045209244361917200194511679,-18,2
3,1784576846,2,5c55ca1d-710d-45e4-a512-7150a4d11d73,1784576848,1784576854,6,./.tests/optimization_example --int_param='-83' --float_param='-58.737656984354671863' --choice_param='8' --int_param_two='-12' --nr_results=2,0,,runnervm76tkm,-83,-12,-58.737656984354671863002295140177,8,3_0,COMPLETED,BOTORCH_MODULAR,1.621419559073729921294670930365,2.188672670253680063723322746227,-83,-58.737656984354671863002295140177,-12,8
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========================================================================
Current git-hash: 776b40647c39ee42c9f8443c9f17f6559d9b1106 (last fully tested stable version 5 commits ago [b9f1e470f24bdacf974e4cf9defd5b88ea683b32, 9405])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 07-20 19:47:08] 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: a9f74749-eeb9-40d5-a548-295a79f4f364
/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=58 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 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━┩
│ 0 │ -19 │ -91.86107762157917 │ -25 │ 8 │ 1.0463560748 │ 2.5179454465999997 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────────┼────────────────────┤
│ 1 │ -97 │ 1.9244789170969323 │ -6 │ 16 │ 1.721966276 │ 2.1328428307 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────────┼────────────────────┤
│ 2 │ -7 │ -8.304520924436192 │ -18 │ 2 │ 1.2310147521 │ 2.5115035079 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────────┼────────────────────┤
│ 3 │ -83 │ -58.73765698435467 │ -12 │ 8 │ 1.62141955907373 │ 2.18867267025368 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┴────────────────────┘
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: 39s │
│ 🏆 Best RESULT1: 1.0463560748 │
│ 🏆 Best RESULT2: 2.1328428307 │
│ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/1/results.csv │
│ 🤖 Model: BOTORCH_MODULAR │
│ │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
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2026-07-20 19:47:11 (5c55ca1d-710d-45e4-a512-7150a4d11d73): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-07-20 19:47:12 (5c55ca1d-710d-45e4-a512-7150a4d11d73): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-07-20 19:47:12 (5c55ca1d-710d-45e4-a512-7150a4d11d73): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.76 s/job
2026-07-20 19:47:12 (5c55ca1d-710d-45e4-a512-7150a4d11d73): BOTORCH_MODULAR, eval #1/1 start
2026-07-20 19:47:12 (5c55ca1d-710d-45e4-a512-7150a4d11d73): BOTORCH_MODULAR, starting new job
2026-07-20 19:47:12 (5c55ca1d-710d-45e4-a512-7150a4d11d73): BOTORCH_MODULAR, started new job
2026-07-20 19:47:21 (5c55ca1d-710d-45e4-a512-7150a4d11d73): BOTORCH_MODULAR, new result: RESULT1: 1.231015, RESULT2: 2.511504
2026-07-20 19:47:25 (5c55ca1d-710d-45e4-a512-7150a4d11d73): BOTORCH_MODULAR, 3 done, █▁▆, finishing jobs, finished 1 job
2026-07-20 19:47:26 (5c55ca1d-710d-45e4-a512-7150a4d11d73): BOTORCH_MODULAR, 3 done, █▁▆, getting new HP set (no sbatch)
2026-07-20 19:47:26 (5c55ca1d-710d-45e4-a512-7150a4d11d73): BOTORCH_MODULAR, 3 done, █▁▆, requested 1 jobs, got 1, 1.62 s/job
2026-07-20 19:47:26 (5c55ca1d-710d-45e4-a512-7150a4d11d73): BOTORCH_MODULAR, 3 done, █▁▆, eval #1/1 start
2026-07-20 19:47:26 (5c55ca1d-710d-45e4-a512-7150a4d11d73): BOTORCH_MODULAR, 3 done, █▁▆, starting new job
2026-07-20 19:47:26 (5c55ca1d-710d-45e4-a512-7150a4d11d73): BOTORCH_MODULAR, 3 done, █▁▆, started new job
2026-07-20 19:47:36 (5c55ca1d-710d-45e4-a512-7150a4d11d73): BOTORCH_MODULAR, 3 done, █▁▆, new result: RESULT1: 1.621420, RESULT2: 2.188673
2026-07-20 19:47:39 (5c55ca1d-710d-45e4-a512-7150a4d11d73): 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
1784576829,755.72265625,28.2 Copy raw data to clipboard
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RESULT1 (goal: minimize )Best value: 1.0463560748
Achieved at:
- int_param_two = -25 (r=0.976, strong positive correlation)
- RESULT2 = 2.5179454466 (r=-0.974, strong negative correlation)
- int_param = -19 (r=-0.94, strong negative correlation)
- choice_param = 8 (r=0.65, moderate positive correlation)
- float_param = -91.861077621579 (r=0.53, moderate positive correlation)
RESULT2 (goal: minimize )Best value: 2.1328428307
Achieved at:
- int_param = -97 (r=0.992, strong positive correlation)
- RESULT1 = 1.721966276 (r=-0.974, strong negative correlation)
- int_param_two = -6 (r=-0.919, strong negative correlation)
- choice_param = 16 (r=-0.757, strong negative correlation)
- float_param = 1.9244789170969 (r=-0.355, 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 -83 -7 -45 38 2 OO_Info_int_param_two -18 -12 -15 3 2 OO_Info_float_param -58.7377 -8.3045 -33.5211 25.2166 2 OO_Info_choice_param 2 8 5 3 2 RESULT1 1.0464 1.722 1.4052 0.2767 4 RESULT2 2.1328 2.5179 2.3377 0.1781 4 int_param -97 -7 -51.5 39.048 4 float_param -91.8611 1.9245 -39.2447 38.081 4 int_param_two -25 -6 -15.25 7.0489 4 choice_param 2 16 8.5 4.9749 4