Experiment overview Setting Value Max. nr. evaluations 4 Number random steps 2 Number random steps (from arguments) 20 Nr. of workers (parameter) 20 Nr. imported jobs 2
Best RESULT1, min (total: 2 + inserted jobs: 2) OO_Info_int_… OO_Info_int_… OO_Info_floa… OO_Info_choi… RESULT2 int_param float_param int_param_t… choice_param RESULT1 10.0 -40.0 10.0 2.0 2.5387129344 10 10.0 -40 2 1.057979846
Job Summary per Generation Node
Generation Node Total COMPLETED
SOBOL 1 1 BOTORCH_MODULAR 3 3
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
Number of evaluations
Failed
Succeeded
Running
Total
0
4
0
4
Result names and types
name min/max
RESULT1
min
RESULT2
min
Last progressbar status
2026-08-09 05:12:10 (ba7d679e-1e51-4963-932e-a3f3e297174b): BOTORCH_MODULAR, 4 done, ▇▁█▁, finishing jobs, finished 1 job Git-Version
Commit: 994947df0c9dd58e83a3d3605f909757dcb65b59 (9418-2-g994947df0)
config_objectives not found
========================================================================
Current git-hash: 994947df0c9dd58e83a3d3605f909757dcb65b59 (last fully tested stable version 2 commits ago [b54799bbb6092ee7a47e6c8cafaff1661ff693b6, 9418])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[INFO 08-09 05:11:28] 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: af920606-6af1-4158-9f01-1ce4b89e2bf8
/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.")
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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=3 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 │ -6 │ -37.57920324802399 │ 3 │ 2 │ 1.0891632913 │ 2.105030876 │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼──────────────┼──────────────┤
│ 2 │ 10 │ 10 │ -40 │ 2 │ 1.057979846 │ 2.5387129344 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────┴──────────────┘
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: 55s │
│ 🏆 Best RESULT1: 1.057979846 │
│ 🏆 Best RESULT2: 2.105030876 │
│ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/1/results.csv │
│ 🤖 Model: BOTORCH_MODULAR │
│ │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
2026-08-09 05:11:31 (ba7d679e-1e51-4963-932e-a3f3e297174b): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-08-09 05:11:41 (ba7d679e-1e51-4963-932e-a3f3e297174b): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-08-09 05:11:41 (ba7d679e-1e51-4963-932e-a3f3e297174b): BOTORCH_MODULAR, requested 1 jobs, got 1, 10.13 s/job
2026-08-09 05:11:41 (ba7d679e-1e51-4963-932e-a3f3e297174b): BOTORCH_MODULAR, eval #1/1 start
2026-08-09 05:11:41 (ba7d679e-1e51-4963-932e-a3f3e297174b): BOTORCH_MODULAR, starting new job
2026-08-09 05:11:42 (ba7d679e-1e51-4963-932e-a3f3e297174b): BOTORCH_MODULAR, started new job
2026-08-09 05:11:51 (ba7d679e-1e51-4963-932e-a3f3e297174b): BOTORCH_MODULAR, new result: RESULT1: 1.057980, RESULT2: 2.538713
2026-08-09 05:11:54 (ba7d679e-1e51-4963-932e-a3f3e297174b): BOTORCH_MODULAR, 3 done, ▇▁█, finishing jobs, finished 1 job
2026-08-09 05:11:58 (ba7d679e-1e51-4963-932e-a3f3e297174b): BOTORCH_MODULAR, 3 done, ▇▁█, getting new HP set (no sbatch)
2026-08-09 05:11:58 (ba7d679e-1e51-4963-932e-a3f3e297174b): BOTORCH_MODULAR, 3 done, ▇▁█, requested 1 jobs, got 1, 4.35 s/job
2026-08-09 05:11:58 (ba7d679e-1e51-4963-932e-a3f3e297174b): BOTORCH_MODULAR, 3 done, ▇▁█, eval #1/1 start
2026-08-09 05:11:58 (ba7d679e-1e51-4963-932e-a3f3e297174b): BOTORCH_MODULAR, 3 done, ▇▁█, starting new job
2026-08-09 05:11:58 (ba7d679e-1e51-4963-932e-a3f3e297174b): BOTORCH_MODULAR, 3 done, ▇▁█, started new job
2026-08-09 05:12:07 (ba7d679e-1e51-4963-932e-a3f3e297174b): BOTORCH_MODULAR, 3 done, ▇▁█, new result: RESULT1: 1.920466, RESULT2: 2.279474
2026-08-09 05:12:10 (ba7d679e-1e51-4963-932e-a3f3e297174b): BOTORCH_MODULAR, 4 done, ▇▁█▁, finishing jobs, finished 1 job
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 0.262 │ 1 │ 0.262 │
│ 2 │ 0.111 │ 1 │ 0.111 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │ 0.186 │ │ │
│ Median │ 0.186 │ │ │
│ Total │ 0.373 │ │ │
│ Max │ 0.262 │ │ │
│ Min │ 0.111 │ │ │
└─────────┴─────────┴──────┴──────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│ 1 │ 10.129 │ 1 │ 10.129 │
│ 2 │ 4.348 │ 1 │ 4.348 │
├───────────┼─────────┼──────┼──────────────┤
│ Average │ 7.238 │ │ │
│ Median │ 7.238 │ │ │
│ Total │ 14.476 │ │ │
│ Max │ 10.129 │ │ │
│ Min │ 4.348 │ │ │
└───────────┴─────────┴──────┴──────────────┘
Arguments Overview Key Value config_yaml None config_toml None config_json None num_random_steps 20 max_eval None run_program None experiment_name None mem_gb 1 parameter None continue_previous_job runs/multi_results_2_results_BOTORCH_MODULAR/0 experiment_constraints None run_dir runs seed None verbose_tqdm False model None gridsearch False occ False show_sixel_scatter False show_sixel_general False show_sixel_trial_index_result False follow False send_anonymized_usage_stats False ui_url None root_venv_dir /home/runner exclude None main_process_gb 8 max_nr_of_zero_results 10 abbreviate_job_names False orchestrator_file None checkout_to_latest_tested_version False live_share True disable_tqdm False disable_previous_job_constraint False workdir occ_type euclid result_names ['RESULT=min'] minkowski_p 2 signed_weighted_euclidean_weights generation_strategy None generate_all_jobs_at_once False revert_to_random_when_seemingly_exhausted True load_data_from_existing_jobs [] n_estimators_randomforest 100 max_attempts_for_generation 20 external_generator None username None max_failed_jobs None num_cpus_main_job None calculate_pareto_front_of_job [] show_generate_time_table False force_choice_for_ranges False max_abandoned_retrial 20 share_password None dryrun False db_url None run_program_once None worker_generator_path None save_to_database False range_max_difference 1000000 skip_search False nr_evals_per_arm 1 disable_notifications False dump_config None dont_warm_start_refitting False refit_on_cv False fit_out_of_design False fit_abandoned False dont_jit_compile False num_restarts 20 raw_samples 1024 max_num_of_parallel_sruns 16 no_transform_inputs False no_normalize_y False transforms [] number_of_generators 1 num_parallel_jobs 20 worker_timeout 30 slurm_use_srun False time partition reservation None force_local_execution False slurm_signal_delay_s 0 nodes_per_job 1 cpus_per_task 1 account None gpus 0 dependency None run_mode local verbose False verbose_break_run_search_table False debug False flame_graph False memray False no_sleep False tests False show_worker_percentage_table_at_end False auto_exclude_defective_hosts False run_tests_that_fail_on_taurus False raise_in_eval False show_ram_every_n_seconds 0 show_generation_and_submission_sixel False just_return_defaults False prettyprint False runtime_debug False debug_stack_regex debug_stack_trace_regex None show_func_name False beartype False
This logs the CPU and RAM usage of the main worker process.
timestamp,ram_usage_mb,cpu_usage_percent
1786252289,884.93359375,26.7
RESULT1 (goal: minimize )Best value: 1.057979846 int_param = 10 (r=-0.966, strong negative correlation) float_param = 10 (r=-0.669, moderate negative correlation) int_param_two = -40 (r=-0.641, moderate negative correlation) choice_param = 2 (r=0.512, moderate positive correlation) RESULT2 = 2.5387129344 (r=0.099, weak positive correlation)
RESULT2 (goal: minimize )Best value: 2.105030876 int_param_two = 3 (r=-0.742, strong negative correlation) choice_param = 2 (r=0.412, moderate positive correlation) RESULT1 = 1.0891632913 (r=0.099, weak positive correlation) int_param = -6 (r=-0.081, weak negative correlation) float_param = -37.579203248024 (r=0.057, weak positive 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 -66 10 -28 38 2 OO_Info_int_param_two -40 -39 -39.5 0.5 2 OO_Info_float_param -37.5595 10 -13.7797 23.7797 2 OO_Info_choice_param 2 2 2 0 2 RESULT2 2.105 2.5387 2.348 0.1694 4 RESULT1 1.058 1.9205 1.475 0.4028 4 int_param -83 10 -36.25 39.1304 4 float_param -100 10 -41.2847 39.0679 4 int_param_two -90 3 -41.5 32.9431 4 choice_param 2 4 2.5 0.866 4
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