OmniOpt2

Experiment overview

Setting	Value
Model for non-random steps	BOTORCH_MODULAR
Max. nr. evaluations	4
Number random steps	2
Nr. of workers (parameter)	1

Best RESULT, min (total: 4)

a	b	RESULT
5.0	5.0	10.0

Job Summary per Generation Node

Generation Node	Total	COMPLETED
SOBOL	2	2
BOTORCH_MODULAR	2	2

Experiment parameters

Name	Type	Lower bound	Upper bound	Type	Log Scale?
a	range	5	100	float	No
b	range	5	100	float	No

Number of evaluations

Failed	Succeeded	Running	Total
0	4	0	4

Result names and types

name	min/max
RESULT	min

Last progressbar status

2026-10-27 20:49:25 (221d997a-0d79-4af2-802c-e7c91998b819): BOTORCH_MODULAR, best RESULT: 10, ▆▁▆█, finishing jobs, finished 1 job

Git-Version

Commit: 35f425052abf9e9cab3e229e9e3f339ae0021770 (10053-3-g35f425052)

Run-UUID: 0f5c5d56-ff86-4f2c-bf4d-f9447a0c854c
  _________________________________________________
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| OmniOpt2 - Hyperparameter tuning: the art of maki |
| ng educated guesses look scientific!              |
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                                                      /|  O|| O|        /      \_______________/        \
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                                                     |   (_______) /______/                        \_________ \
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                                                      \         \^\\         \                  /               \     /
                                                        \         ||           \______________/      _-_       //\__//
                                                          \       ||------_-~~-_ ------------- \ --/~   ~\    || __/
                                                            ~-----||====/~     |==================|       |/~~~~~
                                                             (_(__/  ./     /                    \_\      \.
                                                                    (_(___/                         \_____)_)
./omniopt --partition=alpha --experiment_name=multiplication_constraint --mem_gb=10 --time=60 --worker_timeout=60 --max_eval=4 --num_parallel_jobs=4 --gpus=0 --num_random_steps=2 --follow --live_share --send_anonymized_usage_stats --result_names RESULT=min --run_program=cGVybCAtZSAncHJpbnQgIlJFU1VMVDogIiAuICglYSArICViKSc= --cpus_per_task=1 --nodes_per_job=1 --generate_all_jobs_at_once --revert_to_random_when_seemingly_exhausted --model=BOTORCH_MODULAR --n_estimators_randomforest=100 --run_mode=local --occ_type=euclid --main_process_gb=8 --max_nr_of_zero_results=50 --slurm_signal_delay_s=0 --max_failed_jobs=0 --parameter a range 5 100 float false --parameter b range 5 100 float false --experiment_constraints YSAqIGIgPj0gMTA=
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/multiplication_constraint/0
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=multiplication_constraint&run_nr=88 for live-results.


You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: SOBOL for 2 steps and then BOTORCH_MODULAR for 2 steps.
Run-Program: perl -e 'print "RESULT: " . (%a + %b)'
Experiment parameters
┏━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name ┃ Type  ┃ Lower bound ┃ Upper bound ┃ Type  ┃ Log Scale? ┃
┡━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ a    │ range │ 5           │ 100         │ float │ No         │
│ b    │ range │ 5           │ 100         │ float │ No         │
└──────┴───────┴─────────────┴─────────────┴───────┴────────────┘
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ Post-Generation-Constraints ┃
┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│ a * b >= 10                 │
└─────────────────────────────┘
Result-Names
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT      │         min │
└─────────────┴─────────────┘
Failed Jobs parameters
┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ param1 ┃ param2 ┃ param3 ┃ error_description                                 ┃
┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│ value1 │ value2 │ value3 │ Some error occurred during execution (this is not │
│        │        │        │ a real error!).                                   │
└────────┴────────┴────────┴───────────────────────────────────────────────────┘
Best RESULT, min (total: 4)
┏━━━━━┳━━━━━┳━━━━━━━━┓
┃ a   ┃ b   ┃ RESULT ┃
┡━━━━━╇━━━━━╇━━━━━━━━┩
│ 5.0 │ 5.0 │ 10.0   │
└─────┴─────┴────────┘
Not printing sixel graphics in CI
Runtime Infos
┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Number of evaluations ┃ Min time  ┃ Max time  ┃ Average time ┃ Median time ┃
┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│           4           │ 6.00 sec  │ 6.00 sec  │   6.00 sec   │  6.00 sec   │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘

╭──────────────────────────── OmniOpt2 Run Summary ────────────────────────────╮
│                                                                              │
│  ✅  Optimization complete!                                                  │
│                                                                              │
│    📊 Trials: 4 succeeded / 0 failed / 4 done / 4 submitted                  │
│    ⏱️  Duration: 70s (1m10s)                                                 │
│    🏆 Best RESULT: 10                                                        │
│    📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/multiplication_constr  │
│    🤖 Model: BOTORCH_MODULAR                                                 │
│                                                                              │
╰──────────────────────────────────────────────────────────────────────────────╯

2026-10-27 20:48:29 (221d997a-0d79-4af2-802c-e7c91998b819): SOBOL, Started OmniOpt2 run...
2026-10-27 20:48:29 (221d997a-0d79-4af2-802c-e7c91998b819): SOBOL, getting new HP set (no sbatch)
2026-10-27 20:48:29 (221d997a-0d79-4af2-802c-e7c91998b819): SOBOL, requested 1 jobs, got 1, 0.03 s/job
2026-10-27 20:48:29 (221d997a-0d79-4af2-802c-e7c91998b819): SOBOL, eval #1/1 start                    
2026-10-27 20:48:29 (221d997a-0d79-4af2-802c-e7c91998b819): SOBOL, starting new job                   
2026-10-27 20:48:29 (221d997a-0d79-4af2-802c-e7c91998b819): SOBOL, started new job                    
2026-10-27 20:48:41 (221d997a-0d79-4af2-802c-e7c91998b819): SOBOL, new result: RESULT: 33.344146      
2026-10-27 20:48:42 (221d997a-0d79-4af2-802c-e7c91998b819): SOBOL, best RESULT: 33.3441459387541, finishing jobs, finished 1 job
2026-10-27 20:48:42 (221d997a-0d79-4af2-802c-e7c91998b819): SOBOL, best RESULT: 33.3441459387541, getting new HP set (no sbatch)
2026-10-27 20:48:42 (221d997a-0d79-4af2-802c-e7c91998b819): SOBOL, best RESULT: 33.3441459387541, requested 1 jobs, got 1, 0.09 s/job
2026-10-27 20:48:42 (221d997a-0d79-4af2-802c-e7c91998b819): SOBOL, best RESULT: 33.3441459387541, eval #1/1 start                    
2026-10-27 20:48:42 (221d997a-0d79-4af2-802c-e7c91998b819): SOBOL, best RESULT: 33.3441459387541, starting new job                   
2026-10-27 20:48:42 (221d997a-0d79-4af2-802c-e7c91998b819): SOBOL, best RESULT: 33.3441459387541, started new job                    
2026-10-27 20:48:54 (221d997a-0d79-4af2-802c-e7c91998b819): SOBOL, best RESULT: 33.3441459387541, new result: RESULT: 127.421474     
2026-10-27 20:48:56 (221d997a-0d79-4af2-802c-e7c91998b819): SOBOL, best RESULT: 33.3441459388, █▁, finishing jobs, finished 1 job    
2026-10-27 20:48:56 (221d997a-0d79-4af2-802c-e7c91998b819): BOTORCH_MODULAR, best RESULT: 33.3441459388, █▁, getting new HP set (no sbatch)
2026-10-27 20:48:56 (221d997a-0d79-4af2-802c-e7c91998b819): BOTORCH_MODULAR, best RESULT: 33.3441459388, █▁, requested 1 jobs, got 1, 0.75 s/job
2026-10-27 20:48:56 (221d997a-0d79-4af2-802c-e7c91998b819): BOTORCH_MODULAR, best RESULT: 33.3441459388, █▁, eval #1/1 start                    
2026-10-27 20:48:56 (221d997a-0d79-4af2-802c-e7c91998b819): BOTORCH_MODULAR, best RESULT: 33.3441459388, █▁, starting new job                   
2026-10-27 20:48:57 (221d997a-0d79-4af2-802c-e7c91998b819): BOTORCH_MODULAR, best RESULT: 33.3441459388, █▁, started new job                    
2026-10-27 20:49:09 (221d997a-0d79-4af2-802c-e7c91998b819): BOTORCH_MODULAR, best RESULT: 33.3441459388, █▁, new result: RESULT: 28.929489      
2026-10-27 20:49:10 (221d997a-0d79-4af2-802c-e7c91998b819): BOTORCH_MODULAR, best RESULT: 28.9294885161564, ▇▁█, finishing jobs, finished 1 job 
2026-10-27 20:49:11 (221d997a-0d79-4af2-802c-e7c91998b819): BOTORCH_MODULAR, best RESULT: 28.9294885161564, ▇▁█, getting new HP set (no sbatch) 
2026-10-27 20:49:11 (221d997a-0d79-4af2-802c-e7c91998b819): BOTORCH_MODULAR, best RESULT: 28.9294885161564, ▇▁█, requested 1 jobs, got 1, 0.84 s/job
2026-10-27 20:49:11 (221d997a-0d79-4af2-802c-e7c91998b819): BOTORCH_MODULAR, best RESULT: 28.9294885161564, ▇▁█, eval #1/1 start                    
2026-10-27 20:49:11 (221d997a-0d79-4af2-802c-e7c91998b819): BOTORCH_MODULAR, best RESULT: 28.9294885161564, ▇▁█, starting new job                   
2026-10-27 20:49:11 (221d997a-0d79-4af2-802c-e7c91998b819): BOTORCH_MODULAR, best RESULT: 28.9294885161564, ▇▁█, started new job                    
2026-10-27 20:49:23 (221d997a-0d79-4af2-802c-e7c91998b819): BOTORCH_MODULAR, best RESULT: 28.9294885161564, ▇▁█, new result: RESULT: 10.000000      
2026-10-27 20:49:25 (221d997a-0d79-4af2-802c-e7c91998b819): BOTORCH_MODULAR, best RESULT: 10, ▆▁▆█, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.336 │    1 │        0.336 │
│       2 │   0.101 │    1 │        0.101 │
│       3 │   0.104 │    1 │        0.104 │
│       4 │   0.099 │    1 │        0.099 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.160 │      │              │
│  Median │   0.103 │      │              │
│   Total │   0.641 │      │              │
│     Max │   0.336 │      │              │
│     Min │   0.099 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.034 │    1 │        0.034 │
│         2 │   0.086 │    1 │        0.086 │
│         3 │   0.753 │    1 │        0.753 │
│         4 │   0.836 │    1 │        0.836 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.427 │      │              │
│    Median │   0.420 │      │              │
│     Total │   1.710 │      │              │
│       Max │   0.836 │      │              │
│       Min │   0.034 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
install	False
config_yaml	None
config_toml	None
config_json	None
num_random_steps	2
max_eval	4
run_program	[['cGVybCAtZSAncHJpbnQgIlJFU1VMVDog…
experiment_name	multiplication_constraint
mem_gb	10
parameter	[['a range 5 100 float false'], ['b
	range 5 100 float false']]
continue_previous_job	None
experiment_constraints	[['YSAqIGIgPj0gMTA=']]
run_dir	runs
modules
venv
seed	None
verbose_tqdm	False
model	BOTORCH_MODULAR
gridsearch	False
occ	False
show_sixel_scatter	False
show_sixel_general	False
show_sixel_trial_index_result	False
follow	True
wait_until_ended	False
send_anonymized_usage_stats	True
ui_url	None
root_venv_dir	/home/runner
exclude	None
main_process_gb	8
max_nr_of_zero_results	50
abbreviate_job_names	False
orchestrator_file	None
checkout_to_latest_tested_version	False
live_share	True
disable_tqdm	False
local_cpu_monitor	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	True
revert_to_random_when_seemingly_exha…	True
load_data_from_existing_jobs	[]
n_estimators_randomforest	100
max_attempts_for_generation	20
external_generator	None
optuna_sampler	None
optuna_pruner	none
optuna_n_startup_trials	10
optuna_multivariate	False
optuna_group	False
optuna_constraints	False
optuna_n_ei_candidates	0
optuna_storage	None
optuna_study_name	omniopt_study
optuna_no_load_if_exists	False
optuna_extra_iters	1
username	None
max_failed_jobs	0
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
dump_config	None
formula	None
formula_mode	auto
formula_python_path	/home/runner/.omniax_venvs/Python_3…
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	1
worker_timeout	60
slurm_use_srun	False
time	60
partition	alpha
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
1793134107,922.05859375,26.9
1793134167,954.92578125,12.1

`RESULT` (goal: minimize)

Best value: 10
Achieved at:
- a = 5 (r=0.964, strong positive correlation)
- b = 5 (r=0.963, strong positive correlation)
- run_time = 6 (r=0, 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	4
RESULT	10	127.4215	49.9238	45.5945	4
a	5	63.3682	24.6018	23.83	4
b	5	64.0533	25.3219	23.4767	4