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)

OO_Info_int_pa…	OO_Info_int_pa…	OO_Info_float_…	OO_Info_choic…	int_param	float_param	int_param_two	choice_param	RESULT
-88	-16	-88.3891279566…	8	-88	-88.3891279566…	-16	8	-178479.41220…

Job Summary per Generation Node

Generation Node	Total	COMPLETED
SOBOL	1	1
BOTORCH_MODULAR	1	1

Experiment parameters

Name	Type	Lower bound	Upper bound	Values	Type	Log Scale?
int_param	range	-100	10		int	No
float_param	range	-100	10		float	No
choice_param	choice			1, 2, 4, 8, 16, hallo
int_param_two	range	-100	10		int	No

Number of evaluations

Failed	Succeeded	Running	Total
0	2	0	2

Result names and types

name	min/max
RESULT	min

Last progressbar status

2026-08-09 20:21:32 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): BOTORCH_MODULAR, best RESULT: -178479.412204996, ▁█, finishing jobs, finished 1 job

Git-Version

Commit: 75fb0beff736f58928627480ad8135357bb70044 (9418-7-g75fb0beff)


========================================================================


Current git-hash: 75fb0beff736f58928627480ad8135357bb70044 (last fully tested stable version 7 commits ago [b54799bbb6092ee7a47e6c8cafaff1661ff693b6, 9418])
Using coverage run -p because $RUN_WITH_COVERAGE is set
⠋ Loading base modules...
⠋ Loading rich UI components...
⠋ Loading type and utility modules...
⠋ Loading optional modules...
⠙ Importing helpers...
⠋ Importing pareto...
⠋ Parsing arguments...
⠸ Loading ML frameworks...
[INFO 08-09 20:21:08] ax.storage.sqa_store.with_db_settings_base: Ax SQL storage initialized with SQLAlchemy 2.0.51
⠧ Loading Ax platform...
⠋ Loading Ax storage and data...
⠋ Loading data science stack...
⠋ Importing ax logger...
⠋ Importing SQL-Storage-Stuff...
Run-UUID: de115c34-9467-40b5-a83e-7a05c3cf1256
//.omniax_venvs/Python_3.11.2/x86_64/lib/python3.11/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)
//.omniax_venvs/Python_3.11.2/x86_64/lib/python3.11/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
  warnings.warn("notify-send not found.")
  ____________________________________________
| OmniOpt2 - Hyperparameter alchemy in action! |
  ============================================
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                                                       / /   | `    \
                                                       O O   ) /    |
                                                       `-^--'`<     '
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                                                       `.___/`    /
                                                         `-----' /
                                            <----.     __ / __   \
                                            <----|====O)))==) \) /====
                                            <----'    `--' `.__,' \
                                                         |        |
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                                                    ______( (_  / \______
                                                  ,'  ,-----'   |        \
                                                  `--{__________)        \/
⠋ Writing worker creation log...
omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name __main__tests__BOTORCH_MODULAR___nogridsearch --mem_gb=4 --time 60 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus 0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9pY2VfcGFyYW0pJyAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0x --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 --generate_all_jobs_at_once --follow --show_generate_time_table --disable_notifications
⠋ Disabling logging...
⠋ Setting run folder...
⠋ Creating folder /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0...
⠋ Writing revert_to_random_when_seemingly_exhausted file ...
⠋ Writing username state file...
⠋ Writing result names file...
⠋ Writing result min/max file...
⠋ Saving state files...
Run-folder: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0
⠋ Writing live_share file if it is present...
⠋ Writing job_start_time file...
⠋ Writing git information
⠋ Checking max_eval...
⠋ Calculating number of steps...
⠋ Adding excluded nodes...
⠋ Initializing ax_client...
⠋ Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=defaultuser&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=34 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  --int_param='%(int_param)' --float_param='%(float_param)' --choice_param='%(choice_param)' --int_param_two='%(int_param_two)' --nr_results=1
Experiment parameters
┏━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name          ┃ Type   ┃ Lower bound ┃ Upper bound ┃ Values                ┃ Type  ┃ Log Scale? ┃
┡━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ int_param     │ range  │ -100        │ 10          │                       │ int   │ No         │
│ float_param   │ range  │ -100        │ 10          │                       │ float │ No         │
│ choice_param  │ choice │             │             │ 1, 2, 4, 8, 16, hallo │       │            │
│ int_param_two │ range  │ -100        │ 10          │                       │ int   │ No         │
└───────────────┴────────┴─────────────┴─────────────┴───────────────────────┴───────┴────────────┘
Result-Names
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT      │         min │
└─────────────┴─────────────┘
⠋ Write files and show overview
BOTORCH_MODULAR, best RESULT: -178479.412204996, ▁█, finishing jobs, finished 1 job : 100%|██████████| 2/2 [00:21<00:00, 10.88s/it]
Best RESULT, min (total: 2)
┏━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┓
┃ OO_Info_int_pa… ┃ OO_Info_int_pa… ┃ OO_Info_float_… ┃ OO_Info_choic… ┃ int_param ┃ float_param     ┃ int_param_two ┃ choice_param ┃ RESULT         ┃
┡━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━┩
│ -88             │ -16             │ -88.3891279566… │ 8              │ -88       │ -88.3891279566… │ -16           │ 8            │ -178479.41220… │
└─────────────────┴─────────────────┴─────────────────┴────────────────┴───────────┴─────────────────┴───────────────┴──────────────┴────────────────┘
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 │   0.035 │    1 │        0.035 │
│         2 │   0.357 │    1 │        0.357 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.196 │      │              │
│    Median │   0.196 │      │              │
│     Total │   0.392 │      │              │
│       Max │   0.357 │      │              │
│       Min │   0.035 │      │              │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.208 │    1 │        0.208 │
│       2 │   0.078 │    1 │        0.078 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.143 │      │              │
│  Median │   0.143 │      │              │
│   Total │   0.286 │      │              │
│     Max │   0.208 │      │              │
│     Min │   0.078 │      │              │
└─────────┴─────────┴──────┴──────────────┘

╭─────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ───────────────────────────────────────────────────────────────╮
│                                                                                                                                                    │
│  ✅  Optimization complete!                                                                                                                        │
│                                                                                                                                                    │
│    📊 Trials: 2 succeeded / 0 failed / 2 done / 2 submitted                                                                                        │
│    ⏱️  Duration: 32s                                                                                                                               │
│    🏆 Best RESULT: -178479.412204996                                                                                                               │
│    📁 Results: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0/results.csv                                                   │
│    🤖 Model: BOTORCH_MODULAR                                                                                                                       │
│                                                                                                                                                    │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

2026-08-09 20:21:10 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): SOBOL, Started OmniOpt2 run...
2026-08-09 20:21:10 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): SOBOL, getting new HP set (no sbatch)
2026-08-09 20:21:10 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): SOBOL, requested 1 jobs, got 1, 0.04 s/job
2026-08-09 20:21:10 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): SOBOL, eval #1/1 start                    
2026-08-09 20:21:10 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): SOBOL, starting new job                   
2026-08-09 20:21:11 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): SOBOL, started new job                    
2026-08-09 20:21:20 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): SOBOL, new result: RESULT: -48343.878576  
2026-08-09 20:21:21 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): SOBOL, best RESULT: -48343.8785759836, finishing jobs, finished 1 job
2026-08-09 20:21:21 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): BOTORCH_MODULAR, best RESULT: -48343.8785759836, getting new HP set (no sbatch)
2026-08-09 20:21:21 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): BOTORCH_MODULAR, best RESULT: -48343.8785759836, requested 1 jobs, got 1, 0.36 s/job
2026-08-09 20:21:21 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): BOTORCH_MODULAR, best RESULT: -48343.8785759836, eval #1/1 start                    
2026-08-09 20:21:21 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): BOTORCH_MODULAR, best RESULT: -48343.8785759836, starting new job                   
2026-08-09 20:21:21 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): BOTORCH_MODULAR, best RESULT: -48343.8785759836, started new job                    
2026-08-09 20:21:30 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): BOTORCH_MODULAR, best RESULT: -48343.8785759836, new result: RESULT: -178479.412205 
2026-08-09 20:21:32 (0e7d9394-6b1f-4cc4-91a8-e46e321628c3): BOTORCH_MODULAR, best RESULT: -178479.412204996, ▁█, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.208 │    1 │        0.208 │
│       2 │   0.078 │    1 │        0.078 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.143 │      │              │
│  Median │   0.143 │      │              │
│   Total │   0.286 │      │              │
│     Max │   0.208 │      │              │
│     Min │   0.078 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.035 │    1 │        0.035 │
│         2 │   0.357 │    1 │        0.357 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.196 │      │              │
│    Median │   0.196 │      │              │
│     Total │   0.392 │      │              │
│       Max │   0.357 │      │              │
│       Min │   0.035 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	1
max_eval	2
run_program	[['Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09Jy…
experiment_name	__main__tests__BOTORCH_MODULAR___nogridsearch
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
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
send_anonymized_usage_stats	True
ui_url	None
root_venv_dir	/root
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	True
revert_to_random_when_seemingly_exhausted	False
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	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
disable_notifications	True
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	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	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
1786306868,776.3984375,28.1

! 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
OO_Info_int_param	-88	-11	-49.5	38.5	2
OO_Info_int_param_two	-58	-16	-37	21	2
OO_Info_float_param	-88.3891	-17.6516	-53.0204	35.3688	2
OO_Info_choice_param	8	16	12	4	2
RESULT	-178479.4122	-48343.8786	-113411.6454	65067.7668	2
int_param	-88	-11	-49.5	38.5	2
float_param	-88.3891	-17.6516	-53.0204	35.3688	2
int_param_two	-58	-16	-37	21	2
choice_param	8	16	12	4	2