OmniOpt2

Experiment overview

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

Best RESULT, min (total: 2)

x	y	z	a	RESULT
-835.4343380…	858.98691229…	987.15050518…	935.68725511…	-32685456.9…

Job Summary per Generation Node

Generation Node	Total	COMPLETED
SOBOL	1	1
BOTORCH_MODULAR	1	1

Experiment parameters

Name	Type	Lower bound	Upper bound	Type	Log Scale?
x	range	-1000	1000	float	No
y	range	-1000	1000	float	No
z	range	-1000	1000	float	No
a	range	-1000	1000	float	No

Number of evaluations

Failed	Succeeded	Running	Total
0	2	0	2

Result names and types

name	min/max
RESULT	min

Last progressbar status

2026-10-30 12:41:55 (0907d14e-83c7-4332-a234-a1e2f67bc5ff): BOTORCH_MODULAR, best RESULT: -32685456.91628011, ▁█, finishing jobs, finished 1 job

Git-Version

Commit: 035b8608bba2d22b83b923a1f92615305e661c39 (10059-1-g035b8608b)

Run-UUID: 85f52906-4f30-4d84-960b-cec2afdc6329
  _________________________________________________
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| OmniOpt2 - This is not madness... this is hyperpa |
| rameter tuning!                                   |
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                                                             /- _  `-/  '
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                                                            O O   ) /    |
                                                            `-^--'`<     '
                                                           (_.)  _  )   /
                                                            `.___/`    /
                                                              `-----' /
                                                 <----.     __ / __   \
                                                 <----|====O)))==) \) /====
                                                 <----'    `--' `.__,' \
                                                              |        |
                                                               \       /
                                                         ______( (_  / \______
                                                       ,'  ,-----'   |        \
                                                       `--{__________)        \/
./omniopt --partition alpha --experiment_name=example_all_float --mem_gb=4 --time 60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --num_random_steps 1 --send_anonymized_usage_stats --run_program LnRlc3RzL29wdGltaXphdGlvbl9leGFtcGxlX2FsbF9mbG9hdCAgLS14PSUoeCkgLS15PSUoeSkgLS16PSUoeikgLS1hPSUoYSkgLS1ucl9yZXN1bHRzPTE= --cpus_per_task=1 --nodes_per_job=1 --model=BOTORCH_MODULAR --run_mode=local --parameter x range -1000 1000 float --parameter y range -1000 1000 float --parameter z range -1000 1000 float --parameter a range -1000 1000 float --live_share --generate_all_jobs_at_once --follow --show_generate_time_table
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/example_all_float/1
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=example_all_float&run_nr=266 for live-results.


You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: SOBOL for 1 step and then BOTORCH_MODULAR for 1 step.
Run-Program: .tests/optimization_example_all_float  --x=%(x) --y=%(y) --z=%(z) --a=%(a) --nr_results=1
Experiment parameters
┏━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name ┃ Type  ┃ Lower bound ┃ Upper bound ┃ Type  ┃ Log Scale? ┃
┡━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ x    │ range │ -1000       │ 1000        │ float │ No         │
│ y    │ range │ -1000       │ 1000        │ float │ No         │
│ z    │ range │ -1000       │ 1000        │ float │ No         │
│ a    │ range │ -1000       │ 1000        │ float │ No         │
└──────┴───────┴─────────────┴─────────────┴───────┴────────────┘
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: 2)
┏━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓
┃ x             ┃ y             ┃ z             ┃ a             ┃ RESULT       ┃
┡━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩
│ -835.4343380… │ 858.98691229… │ 987.15050518… │ 935.68725511… │ -32685456.9… │
└───────────────┴───────────────┴───────────────┴───────────────┴──────────────┘
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   │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.025 │    1 │        0.025 │
│         2 │   0.303 │    1 │        0.303 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.164 │      │              │
│    Median │   0.164 │      │              │
│     Total │   0.328 │      │              │
│       Max │   0.303 │      │              │
│       Min │   0.025 │      │              │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.152 │    1 │        0.152 │
│       2 │   0.080 │    1 │        0.080 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.116 │      │              │
│  Median │   0.116 │      │              │
│   Total │   0.232 │      │              │
│     Max │   0.152 │      │              │
│     Min │   0.080 │      │              │
└─────────┴─────────┴──────┴──────────────┘

╭──────────────────────────── OmniOpt2 Run Summary ────────────────────────────╮
│                                                                              │
│  ✅  Optimization complete!                                                  │
│                                                                              │
│    📊 Trials: 2 succeeded / 0 failed / 2 done / 2 submitted                  │
│    ⏱️  Duration: 33s                                                         │
│    🏆 Best RESULT: -32685456.91628011                                        │
│    📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/example_all_float/1/r  │
│    🤖 Model: BOTORCH_MODULAR                                                 │
│                                                                              │
╰──────────────────────────────────────────────────────────────────────────────╯

2026-10-30 12:41:31 (0907d14e-83c7-4332-a234-a1e2f67bc5ff): SOBOL, Started OmniOpt2 run...
2026-10-30 12:41:31 (0907d14e-83c7-4332-a234-a1e2f67bc5ff): SOBOL, getting new HP set (no sbatch)
2026-10-30 12:41:31 (0907d14e-83c7-4332-a234-a1e2f67bc5ff): SOBOL, requested 1 jobs, got 1, 0.02 s/job
2026-10-30 12:41:31 (0907d14e-83c7-4332-a234-a1e2f67bc5ff): SOBOL, eval #1/1 start                    
2026-10-30 12:41:31 (0907d14e-83c7-4332-a234-a1e2f67bc5ff): SOBOL, starting new job                   
2026-10-30 12:41:31 (0907d14e-83c7-4332-a234-a1e2f67bc5ff): SOBOL, started new job                    
2026-10-30 12:41:41 (0907d14e-83c7-4332-a234-a1e2f67bc5ff): SOBOL, new result: RESULT: -12903455.670931
2026-10-30 12:41:43 (0907d14e-83c7-4332-a234-a1e2f67bc5ff): SOBOL, best RESULT: -12903455.670931429, finishing jobs, finished 1 job
2026-10-30 12:41:44 (0907d14e-83c7-4332-a234-a1e2f67bc5ff): BOTORCH_MODULAR, best RESULT: -12903455.670931429, getting new HP set (no sbatch)
2026-10-30 12:41:44 (0907d14e-83c7-4332-a234-a1e2f67bc5ff): BOTORCH_MODULAR, best RESULT: -12903455.670931429, requested 1 jobs, got 1, 0.30 s/job
2026-10-30 12:41:44 (0907d14e-83c7-4332-a234-a1e2f67bc5ff): BOTORCH_MODULAR, best RESULT: -12903455.670931429, eval #1/1 start                    
2026-10-30 12:41:44 (0907d14e-83c7-4332-a234-a1e2f67bc5ff): BOTORCH_MODULAR, best RESULT: -12903455.670931429, starting new job                   
2026-10-30 12:41:44 (0907d14e-83c7-4332-a234-a1e2f67bc5ff): BOTORCH_MODULAR, best RESULT: -12903455.670931429, started new job                    
2026-10-30 12:41:54 (0907d14e-83c7-4332-a234-a1e2f67bc5ff): BOTORCH_MODULAR, best RESULT: -12903455.670931429, new result: RESULT: -32685456.916280
2026-10-30 12:41:55 (0907d14e-83c7-4332-a234-a1e2f67bc5ff): BOTORCH_MODULAR, best RESULT: -32685456.91628011, ▁█, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.152 │    1 │        0.152 │
│       2 │   0.080 │    1 │        0.080 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.116 │      │              │
│  Median │   0.116 │      │              │
│   Total │   0.232 │      │              │
│     Max │   0.152 │      │              │
│     Min │   0.080 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.025 │    1 │        0.025 │
│         2 │   0.303 │    1 │        0.303 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.164 │      │              │
│    Median │   0.164 │      │              │
│     Total │   0.328 │      │              │
│       Max │   0.303 │      │              │
│       Min │   0.025 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
install	False
config_yaml	None
config_toml	None
config_json	None
num_random_steps	1
max_eval	2
run_program	[['LnRlc3RzL29wdGltaXphdGlvbl9leGFt…
experiment_name	example_all_float
mem_gb	4
parameter	[['x', 'range', '-1000', '1000',
	'float'], ['y', 'range', '-1000',
	'1000', 'float'], ['z', 'range',
	'-1000', '1000', 'float'], ['a',
	'range', '-1000', '1000', 'float']]
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	['RESULT=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	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
1793364089,796.9765625,28

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

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
RESULT	-32685456.9163	-12903455.6709	-22794456.2936	9891000.6227	2
x	-835.4343	710.5711	-62.4316	773.0027	2
y	-279.8431	858.9869	289.5719	569.415	2
z	-363.0407	987.1505	312.0549	675.0956	2
a	-754.7147	935.6873	90.4863	845.201	2