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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,RESULT2,RESULT1,int_param,float_param,int_param_two,choice_param
0,,,,,,,,,,,,,,,0_0,COMPLETED,SOBOL,2.625478771400000077562708611367,1.948260565800000065905805968214,-38,-5.10578811168670654296875,-83,2
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,2.08194323270000003489599293971,1.404647143400000075530442700256,-29,-71.11545997094169990759837673977,7,8
2,1784181948,2,4316146f-254d-49b8-94b6-3a303abc6216,1784181950,1784181956,6,./.tests/optimization_example --int_param='-90' --float_param='-100' --choice_param='8' --int_param_two='10' --nr_results=2,0,,runnervm5mmn9,-90,10,-100,8,2_0,COMPLETED,BOTORCH_MODULAR,2.488354348200000121238417705172,1.084560193399999983299153427652,-90,-100,10,8
3,1784181962,2,4316146f-254d-49b8-94b6-3a303abc6216,1784181964,1784181970,6,./.tests/optimization_example --int_param='-48' --float_param='-100' --choice_param='8' --int_param_two='10' --nr_results=2,0,,runnervm5mmn9,-48,10,-100,8,3_0,COMPLETED,BOTORCH_MODULAR,2.693767675056249810694453117321,1.028302119652839907715247136366,-48,-100,10,8
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========================================================================
Current git-hash: 7ec7c180ddeb70e69ef837c896ebe061f7046be1 (last fully tested stable version 23 commits ago [4d604d1144428d61572f1a083b390631a8aef853, 9346])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[INFO 07-16 06:05:36] 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: 9ea4f000-0a59-4804-844d-5ae1c15b1b7c
/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.")
_________________________________________________
/ \
| OmniOpt2 - Tuning hyperparameters with the finess |
| e of a cat trying not to knock over the vase. |
\ /
=================================================
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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=32 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 ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│ 1 │ -29 │ -71.1154599709417 │ 7 │ 8 │ 1.4046471434 │ 2.0819432327 │
├─────────────┼───────────┼───────────────────┼───────────────┼──────────────┼──────────────────┼──────────────────┤
│ 2 │ -90 │ -100 │ 10 │ 8 │ 1.0845601934 │ 2.4883543482 │
├─────────────┼───────────┼───────────────────┼───────────────┼──────────────┼──────────────────┼──────────────────┤
│ 3 │ -48 │ -100 │ 10 │ 8 │ 1.02830211965284 │ 2.69376767505625 │
└─────────────┴───────────┴───────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┘
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: 51s │
│ 🏆 Best RESULT1: 1.02830211965284 │
│ 🏆 Best RESULT2: 2.0819432327 │
│ 📁 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 06:05:39 (4316146f-254d-49b8-94b6-3a303abc6216): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-07-16 06:05:48 (4316146f-254d-49b8-94b6-3a303abc6216): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-07-16 06:05:48 (4316146f-254d-49b8-94b6-3a303abc6216): BOTORCH_MODULAR, requested 1 jobs, got 1, 9.00 s/job
2026-07-16 06:05:48 (4316146f-254d-49b8-94b6-3a303abc6216): BOTORCH_MODULAR, eval #1/1 start
2026-07-16 06:05:48 (4316146f-254d-49b8-94b6-3a303abc6216): BOTORCH_MODULAR, starting new job
2026-07-16 06:05:48 (4316146f-254d-49b8-94b6-3a303abc6216): BOTORCH_MODULAR, started new job
2026-07-16 06:05:57 (4316146f-254d-49b8-94b6-3a303abc6216): BOTORCH_MODULAR, new result: RESULT1: 1.084560, RESULT2: 2.488354
2026-07-16 06:06:00 (4316146f-254d-49b8-94b6-3a303abc6216): BOTORCH_MODULAR, 3 done, ▁▅█, finishing jobs, finished 1 job
2026-07-16 06:06:02 (4316146f-254d-49b8-94b6-3a303abc6216): BOTORCH_MODULAR, 3 done, ▁▅█, getting new HP set (no sbatch)
2026-07-16 06:06:02 (4316146f-254d-49b8-94b6-3a303abc6216): BOTORCH_MODULAR, 3 done, ▁▅█, requested 1 jobs, got 1, 2.04 s/job
2026-07-16 06:06:02 (4316146f-254d-49b8-94b6-3a303abc6216): BOTORCH_MODULAR, 3 done, ▁▅█, eval #1/1 start
2026-07-16 06:06:02 (4316146f-254d-49b8-94b6-3a303abc6216): BOTORCH_MODULAR, 3 done, ▁▅█, starting new job
2026-07-16 06:06:02 (4316146f-254d-49b8-94b6-3a303abc6216): BOTORCH_MODULAR, 3 done, ▁▅█, started new job
2026-07-16 06:06:11 (4316146f-254d-49b8-94b6-3a303abc6216): BOTORCH_MODULAR, 3 done, ▁▅█, new result: RESULT1: 1.028302, RESULT2: 2.693768
2026-07-16 06:06:14 (4316146f-254d-49b8-94b6-3a303abc6216): 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
1784181937,890.10546875,26.7 Copy raw data to clipboard
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RESULT1 (goal: minimize )Best value: 1.0283021196528
Achieved at:
- float_param = -100 (r=0.994, strong positive correlation)
- int_param_two = 10 (r=-0.931, strong negative correlation)
- choice_param = 8 (r=-0.92, strong negative correlation)
- int_param = -48 (r=0.539, moderate positive correlation)
- RESULT2 = 2.6937676750562 (r=-0.015, weak negative correlation)
RESULT2 (goal: minimize )Best value: 2.0819432327
Achieved at:
- choice_param = 8 (r=-0.373, weak negative correlation)
- int_param_two = 7 (r=-0.345, weak negative correlation)
- int_param = -29 (r=-0.296, weak negative correlation)
- float_param = -71.115459970942 (r=0.088, weak positive correlation)
- RESULT1 = 1.4046471434 (r=-0.015, 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 -90 -48 -69 21 2 OO_Info_int_param_two 10 10 10 0 2 OO_Info_float_param -100 -100 -100 0 2 OO_Info_choice_param 8 8 8 0 2 RESULT2 2.0819 2.6938 2.4724 0.2372 4 RESULT1 1.0283 1.9483 1.3664 0.3653 4 int_param -90 -29 -51.25 23.36 4 float_param -100 -5.1058 -69.0553 38.7587 4 int_param_two -83 10 -14 39.856 4 choice_param 2 8 6.5 2.5981 4