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
-3	-98	-73.2175245031…	16	-3	-73.2175245031…	-98	16	-168424.73139…

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

2026-08-02 05:46:04 (1d4de9ea-233f-436a-92e4-c948d332fb57): BOTORCH_MODULAR, best RESULT: -168424.731394053, ▁█, finishing jobs, finished 1 job

Git-Version

Commit: 994947df0c9dd58e83a3d3605f909757dcb65b59 (9418-2-g994947df0)

trial_index,submit_time,queue_time,worker_generator_uuid,start_time,end_time,run_time,program_string,exit_code,signal,hostname,OO_Info_int_param,OO_Info_int_param_two,OO_Info_float_param,OO_Info_choice_param,arm_name,trial_status,generation_node,RESULT,int_param,float_param,int_param_two,choice_param
0,1785649542,2,1d4de9ea-233f-436a-92e4-c948d332fb57,1785649544,1785649550,6,./.tests/optimization_example  --int_param='-35' --float_param='-26.17819130420684814453' --choice_param='hallo' --int_param_two='-26' --nr_results=1,0,,361071495c15,-35,-26,-26.17819130420684814453125,hallo,0_0,COMPLETED,SOBOL,-35662.516130017196701373904943466187,-35,-26.17819130420684814453125,-26,hallo
1,1785649553,2,1d4de9ea-233f-436a-92e4-c948d332fb57,1785649555,1785649561,6,./.tests/optimization_example  --int_param='-3' --float_param='-73.2175245031782822025' --choice_param='16' --int_param_two='-98' --nr_results=1,0,,361071495c15,-3,-98,-73.217524503178267991643224377185,16,1_0,COMPLETED,BOTORCH_MODULAR,-168424.731394053000258281826972961426,-3,-73.217524503178282202497939579189,-98,16


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

Current git-hash: 994947df0c9dd58e83a3d3605f909757dcb65b59 (last fully tested stable version 2 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 08-02 05:45:32] 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: cc1ff363-df4c-49d8-a737-aedc92a380d0
//.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.")
  _________________________________________________
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| OmniOpt2 - Cracking the code of perfect parameter |
| s!                                                |
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                                                     |   O   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=27 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: -168424.731394053, ▁█, finishing jobs, finished 1 job : 100%|██████████| 2/2 [00:21<00:00, 10.89s/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         ┃
┡━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━┩
│ -3              │ -98             │ -73.2175245031… │ 16             │ -3        │ -73.2175245031… │ -98           │ 16           │ -168424.73139… │
└─────────────────┴─────────────────┴─────────────────┴────────────────┴───────────┴─────────────────┴───────────────┴──────────────┴────────────────┘
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 │   0.037 │    1 │        0.037 │
│         2 │   0.384 │    1 │        0.384 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.210 │      │              │
│    Median │   0.210 │      │              │
│     Total │   0.421 │      │              │
│       Max │   0.384 │      │              │
│       Min │   0.037 │      │              │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.188 │    1 │        0.188 │
│       2 │   0.081 │    1 │        0.081 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.135 │      │              │
│  Median │   0.135 │      │              │
│   Total │   0.270 │      │              │
│     Max │   0.188 │      │              │
│     Min │   0.081 │      │              │
└─────────┴─────────┴──────┴──────────────┘

╭─────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ───────────────────────────────────────────────────────────────╮
│                                                                                                                                                    │
│  ✅  Optimization complete!                                                                                                                        │
│                                                                                                                                                    │
│    📊 Trials: 2 succeeded / 0 failed / 2 done / 2 submitted                                                                                        │
│    ⏱️  Duration: 39s                                                                                                                               │
│    🏆 Best RESULT: -168424.731394053                                                                                                               │
│    📁 Results: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0/results.csv                                                   │
│    🤖 Model: BOTORCH_MODULAR                                                                                                                       │
│                                                                                                                                                    │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

2026-08-02 05:45:42 (1d4de9ea-233f-436a-92e4-c948d332fb57): SOBOL, Started OmniOpt2 run...
2026-08-02 05:45:42 (1d4de9ea-233f-436a-92e4-c948d332fb57): SOBOL, getting new HP set (no sbatch)
2026-08-02 05:45:42 (1d4de9ea-233f-436a-92e4-c948d332fb57): SOBOL, requested 1 jobs, got 1, 0.04 s/job
2026-08-02 05:45:42 (1d4de9ea-233f-436a-92e4-c948d332fb57): SOBOL, eval #1/1 start                    
2026-08-02 05:45:42 (1d4de9ea-233f-436a-92e4-c948d332fb57): SOBOL, starting new job                   
2026-08-02 05:45:43 (1d4de9ea-233f-436a-92e4-c948d332fb57): SOBOL, started new job                    
2026-08-02 05:45:52 (1d4de9ea-233f-436a-92e4-c948d332fb57): SOBOL, new result: RESULT: -35662.516130  
2026-08-02 05:45:53 (1d4de9ea-233f-436a-92e4-c948d332fb57): SOBOL, best RESULT: -35662.5161300172, finishing jobs, finished 1 job
2026-08-02 05:45:53 (1d4de9ea-233f-436a-92e4-c948d332fb57): BOTORCH_MODULAR, best RESULT: -35662.5161300172, getting new HP set (no sbatch)
2026-08-02 05:45:53 (1d4de9ea-233f-436a-92e4-c948d332fb57): BOTORCH_MODULAR, best RESULT: -35662.5161300172, requested 1 jobs, got 1, 0.38 s/job
2026-08-02 05:45:53 (1d4de9ea-233f-436a-92e4-c948d332fb57): BOTORCH_MODULAR, best RESULT: -35662.5161300172, eval #1/1 start                    
2026-08-02 05:45:53 (1d4de9ea-233f-436a-92e4-c948d332fb57): BOTORCH_MODULAR, best RESULT: -35662.5161300172, starting new job                   
2026-08-02 05:45:53 (1d4de9ea-233f-436a-92e4-c948d332fb57): BOTORCH_MODULAR, best RESULT: -35662.5161300172, started new job                    
2026-08-02 05:46:03 (1d4de9ea-233f-436a-92e4-c948d332fb57): BOTORCH_MODULAR, best RESULT: -35662.5161300172, new result: RESULT: -168424.731394 
2026-08-02 05:46:04 (1d4de9ea-233f-436a-92e4-c948d332fb57): BOTORCH_MODULAR, best RESULT: -168424.731394053, ▁█, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.188 │    1 │        0.188 │
│       2 │   0.081 │    1 │        0.081 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.135 │      │              │
│  Median │   0.135 │      │              │
│   Total │   0.270 │      │              │
│     Max │   0.188 │      │              │
│     Min │   0.081 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.037 │    1 │        0.037 │
│         2 │   0.384 │    1 │        0.384 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.210 │      │              │
│    Median │   0.210 │      │              │
│     Total │   0.421 │      │              │
│       Max │   0.384 │      │              │
│       Min │   0.037 │      │              │
└───────────┴─────────┴──────┴──────────────┘

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
1785649533,772.3046875,28.7

! 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	-35	-3	-19	16	2
OO_Info_int_param_two	-98	-26	-62	36	2
OO_Info_float_param	-73.2175	-26.1782	-49.6979	23.5197	2
OO_Info_choice_param	No numerical statistics available
RESULT	-168424.7314	-35662.5161	-102043.6238	66381.1076	2
int_param	-35	-3	-19	16	2
float_param	-73.2175	-26.1782	-49.6979	23.5197	2
int_param_two	-98	-26	-62	36	2
choice_param	No numerical statistics available

submitit INFO (2026-08-02 05:45:54,200) - Starting with JobEnvironment(job_id=1149, hostname=361071495c15, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2026-08-02 05:45:54,200) - Loading pickle: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0/single_runs/1149/1149_submitted.pkl
Trial-Index: 1

Parameters: {"int_param": -3, "float_param": -73.21752450317828, "int_param_two": -98, "choice_param": 16}
Debug-Infos: 
========
DEBUG INFOS START:
Program-Code: ./.tests/optimization_example  --int_param='-3' --float_param='-73.2175245031782822025' --choice_param='16' --int_param_two='-98' --nr_results=1
pwd: /var/opt/omniopt
File: ./.tests/optimization_example
UID: 0
GID: 0
Status-Change-Time: 1785649486.5558157
Size: 5714 Bytes
Permissions: -rwxr-xr-x
Owner: root
Last access: 1785649188.0158603
Last modification: 1785649188.0158603
Hostname: 361071495c15
========
DEBUG INFOS END

./.tests/optimization_example  --int_param='-3' --float_param='-73.2175245031782822025' --choice_param='16' --int_param_two='-98' --nr_results=1
stdout:
 OO-Info: int_param: -3
OO-Info: int_param_two: -98
OO-Info: float_param: -73.2175245031782822025
OO-Info: choice_param: 16
RESULT: -168424.731394053

stderr was empty
Result: {'RESULT': -168424.731394053}
Final-results: {'RESULT': -168424.731394053}
EXIT_CODE: 0
submitit INFO (2026-08-02 05:46:01,712) - Job completed successfully
submitit INFO (2026-08-02 05:46:01,712) - Exiting after successful completion