OmniOpt2

Experiment overview

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

Best RESULT1, min (total: 1)

OO_…	OO_…	OO_…	OO_…	RES…	RES…	int…	floa…	int…	choi…	RES…
4	-93	3.5…	8	2.9…	3.1…	4	3.53…	-93	8	1.2…

Job Summary per Generation Node

Generation Node	Total	COMPLETED
SOBOL	1	1

Experiment parameters

		Lower	Upper			Log
Name	Type	bound	bound	Values	Type	Scale?
int_param	range	-100	10		int	No
float_pa…	range	-100	10		float	No
choice_p…	choice			1, 2, 4,
				8, 16,
				hallo
int_para…	range	-100	10		int	No

Number of evaluations

Failed	Succeeded	Running	Total
0	1	0	1

Result names and types

name	min/max
RESULT1	min
RESULT2	max
RESULT3	min

Last progressbar status

2026-10-30 15:27:30 (9d004ec0-7063-4db7-9193-c6fbd01f522f): SOBOL, 1 done, finishing jobs, finished 1 job

Git-Version

Commit: 62893ae80f6fd2c5fdcce1c4d576e2a43605f0bd (10061-3-g62893ae80)

Run-UUID: 8ffd2120-a780-4d6f-bd14-c322d3737c03
  _________________________________________________
 /                                                 \
| OmniOpt2 - Hyperparameter tuning: the art of maki |
| ng educated guesses look scientific!              |
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                                                             \XXXXX--__/              __-- XXXX/
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./omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name test_if_debug_py_has_alternating --mem_gb=4 --time 60 --worker_timeout=5 --max_eval 1 --num_parallel_jobs 1 --gpus 0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgLS1yYW5kb21fc2VtIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9pY2VfcGFyYW0pJyAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0z --parameter int_param range -100 10 int --parameter float_param range -100 10 float --parameter choice_param choice 1,2,4,8,16,hallo --parameter int_param_two range -100 10 int --num_random_steps 1 --model BOTORCH_MODULAR --auto_exclude_defective_hosts --force_local_execution --result_names RESULT1=min RESULT2=max RESULT3=min --generate_all_jobs_at_once --follow --show_generate_time_table
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/test_if_debug_py_has_alternating/0
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=test_if_debug_py_has_alternating&run_nr=132 for live-results.


You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: SOBOL for 1 step.
Run-Program: ./.tests/optimization_example --random_sem --int_param='%(int_param)' --float_param='%(float_param)' --choice_param='%(choice_param)' --int_param_two='%(int_param_two)' --nr_results=3
Experiment parameters
┏━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━┓
┃           ┃        ┃ Lower      ┃ Upper     ┃            ┃       ┃ Log       ┃
┃ Name      ┃ Type   ┃ bound      ┃ bound     ┃ Values     ┃ Type  ┃ Scale?    ┃
┡━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━┩
│ int_param │ range  │ -100       │ 10        │            │ int   │ No        │
│ float_pa… │ range  │ -100       │ 10        │            │ float │ No        │
│ choice_p… │ choice │            │           │ 1, 2, 4,   │       │           │
│           │        │            │           │ 8, 16,     │       │           │
│           │        │            │           │ hallo      │       │           │
│ int_para… │ range  │ -100       │ 10        │            │ int   │ No        │
└───────────┴────────┴────────────┴───────────┴────────────┴───────┴───────────┘
Result-Names
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT1     │         min │
│ RESULT2     │         min │
│ RESULT3     │         min │
└─────────────┴─────────────┘
Pareto-Front for RESULT1/RESULT2:
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━┓
┃ trial_… ┃ int_pa… ┃ float_… ┃ int_pa… ┃ choice… ┃ RESULT1 ┃ RESULT2 ┃ RESUL… ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━┩
│    0    │    4    │ 3.5398… │   -93   │    8    │ 1.2869… │ 2.9495… │ 3.133… │
└─────────┴─────────┴─────────┴─────────┴─────────┴─────────┴─────────┴────────┘
Pareto-Front for RESULT1/RESULT3:
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━┓
┃ trial_… ┃ int_pa… ┃ float_… ┃ int_pa… ┃ choice… ┃ RESULT1 ┃ RESULT2 ┃ RESUL… ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━┩
│    0    │    4    │ 3.5398… │   -93   │    8    │ 1.2869… │ 2.9495… │ 3.133… │
└─────────┴─────────┴─────────┴─────────┴─────────┴─────────┴─────────┴────────┘
Pareto-Front for RESULT2/RESULT3:
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━┓
┃ trial_… ┃ int_pa… ┃ float_… ┃ int_pa… ┃ choice… ┃ RESULT1 ┃ RESULT2 ┃ RESUL… ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━┩
│    0    │    4    │ 3.5398… │   -93   │    8    │ 1.2869… │ 2.9495… │ 3.133… │
└─────────┴─────────┴─────────┴─────────┴─────────┴─────────┴─────────┴────────┘
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
Not printing sixel graphics in CI
Runtime Infos
┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Number of evaluations ┃ Min time  ┃ Max time  ┃ Average time ┃ Median time ┃
┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│           1           │ 6.00 sec  │ 6.00 sec  │   6.00 sec   │  6.00 sec   │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.032 │    1 │        0.032 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.032 │      │              │
│    Median │   0.032 │      │              │
│     Total │   0.032 │      │              │
│       Max │   0.032 │      │              │
│       Min │   0.032 │      │              │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.153 │    1 │        0.153 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.153 │      │              │
│  Median │   0.153 │      │              │
│   Total │   0.153 │      │              │
│     Max │   0.153 │      │              │
│     Min │   0.153 │      │              │
└─────────┴─────────┴──────┴──────────────┘

╭──────────────────────────── OmniOpt2 Run Summary ────────────────────────────╮
│                                                                              │
│  ✅  Optimization complete!                                                  │
│                                                                              │
│    📊 Trials: 1 succeeded / 0 failed / 1 done / 1 submitted                  │
│    ⏱️  Duration: 21s                                                         │
│    🏆 Best RESULT1: 1.2869943830711241                                       │
│    🏆 Best RESULT2: 2.949524438341093                                        │
│    🏆 Best RESULT3: 3.1330454774470256                                       │
│    📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/test_if_debug_py_has_  │
│    🤖 Model: SOBOL                                                           │
│                                                                              │
╰──────────────────────────────────────────────────────────────────────────────╯

2026-10-30 15:27:19 (9d004ec0-7063-4db7-9193-c6fbd01f522f): SOBOL, Started OmniOpt2 run...
2026-10-30 15:27:19 (9d004ec0-7063-4db7-9193-c6fbd01f522f): SOBOL, getting new HP set (no sbatch)
2026-10-30 15:27:19 (9d004ec0-7063-4db7-9193-c6fbd01f522f): SOBOL, requested 1 jobs, got 1, 0.03 s/job
2026-10-30 15:27:19 (9d004ec0-7063-4db7-9193-c6fbd01f522f): SOBOL, eval #1/1 start                    
2026-10-30 15:27:19 (9d004ec0-7063-4db7-9193-c6fbd01f522f): SOBOL, starting new job                   
2026-10-30 15:27:19 (9d004ec0-7063-4db7-9193-c6fbd01f522f): SOBOL, started new job                    
2026-10-30 15:27:28 (9d004ec0-7063-4db7-9193-c6fbd01f522f): SOBOL, new result: RESULT1: 1.286994 (SEM: 0.732896), RESULT2: 2.949524 (SEM: 0.647247), RESULT3: 3.133045 (SEM: 0.830435)
2026-10-30 15:27:30 (9d004ec0-7063-4db7-9193-c6fbd01f522f): SOBOL, 1 done, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.153 │    1 │        0.153 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.153 │      │              │
│  Median │   0.153 │      │              │
│   Total │   0.153 │      │              │
│     Max │   0.153 │      │              │
│     Min │   0.153 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.032 │    1 │        0.032 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.032 │      │              │
│    Median │   0.032 │      │              │
│     Total │   0.032 │      │              │
│       Max │   0.032 │      │              │
│       Min │   0.032 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
install	False
config_yaml	None
config_toml	None
config_json	None
num_random_steps	1
max_eval	1
run_program	[['Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4…
experiment_name	test_if_debug_py_has_alternating
mem_gb	4
parameter	[['int_param', 'range', '-100',
	'10', 'int'], ['float_param',
	'range', '-100', '10', 'float'],
	['choice_param', 'choice',
	'1,2,4,8,16,hallo'],
	['int_param_two', 'range', '-100',
	'10', 'int']]
continue_previous_job	None
experiment_constraints	None
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	10
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	['RESULT1=min', 'RESULT2=max',
	'RESULT3=min']
minkowski_p	2
signed_weighted_euclidean_weights
generation_strategy	None
generate_all_jobs_at_once	True
revert_to_random_when_seemingly_exha…	False
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	None
num_cpus_main_job	None
calculate_pareto_front_of_job	[]
show_generate_time_table	True
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	5
slurm_use_srun	False
time	60
partition	alpha
reservation	None
force_local_execution	True
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	True
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
1793374037,796.62890625,28.2

! No notable correlations between parameters were found (threshold: |r| > 0.3).

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	Count
run_time	6	6	6	1
OO_Info_int_param	4	4	4	1
OO_Info_int_param_two	-93	-93	-93	1
OO_Info_float_param	3.5398	3.5398	3.5398	1
OO_Info_choice_param	8	8	8	1
RESULT1	1.287	1.287	1.287	1
RESULT2	2.9495	2.9495	2.9495	1
RESULT3	3.133	3.133	3.133	1
int_param	4	4	4	1
float_param	3.5398	3.5398	3.5398	1
int_param_two	-93	-93	-93	1
choice_param	8	8	8	1