OmniOpt2

Experiment overview

Setting	Value
Max. nr. evaluations	6
Max. nr. evaluations (from arguments)	2
Number random steps	1
Nr. of workers (parameter)	1
Nr. imported jobs	4

Best RESULT, min (total: 2 + inserted jobs: 4)

OO_Info_int_pa…	OO_Info_int_pa…	OO_Info_float_…	OO_Info_choic…	int_param	float_param	int_param_two	choice_param	RESULT
-33.0	-100.0	-135.632289462…	4.0	-33	-135.632289462…	-100	4	-321688.12839…

Job Summary per Generation Node

Generation Node	Total	COMPLETED
SOBOL	1	1
BOTORCH_MODULAR	5	5

Experiment parameters

Name	Type	Lower bound	Upper bound	Values	Type	Log Scale?
int_param	rangeparameter	-100	10		int	No
float_param	rangeparameter	-1000	1000		float	No
choice_param	choiceparameter			1, 2, 4, 8, 16, hallo
int_param_two	rangeparameter	-100	10		int	No

Number of evaluations

Failed	Succeeded	Running	Total
0	6	0	6

Result names and types

name	min/max
RESULT	min

Last progressbar status

2026-07-20 10:57:11 (2c627d9a-4769-4a23-8a2d-7aed0d36fe22): BOTORCH_MODULAR, best RESULT: -321688.128394107, ▂▁▂▃▆█, finishing jobs, finished 1 job

Git-Version

Commit: b9f1e470f24bdacf974e4cf9defd5b88ea683b32 (9399-6-gb9f1e470f)

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,,,,,,,,,,,,,,,0_0,COMPLETED,SOBOL,-140007.442615465988637879490852355957,-55,-3.16898167133331298828125,-97,4
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-97855.862564997107256203889846801758,6,-92.00667119584977626800537109375,-14,2
2,,,,,,,,,,,,,,,2_0,COMPLETED,BOTORCH_MODULAR,-133513.320000000006984919309616088867,-100,10,-43,4
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-193570.663343713997164741158485412598,-44,-72.501576334751817398682760540396,-100,4
4,1784545010,2,2c627d9a-4769-4a23-8a2d-7aed0d36fe22,1784545012,1784545018,6,./.tests/optimization_example  --int_param='-38' --float_param='-111.69754872851753191298' --choice_param='4' --int_param_two='-100' --nr_results=1,0,,c0a08e5e50c7,-38,-100,-111.697548728517517702130135148764,4,4_0,COMPLETED,BOTORCH_MODULAR,-264156.898792446998413652181625366211,-38,-111.697548728517531912984850350767,-100,4
5,1784545021,1,2c627d9a-4769-4a23-8a2d-7aed0d36fe22,1784545022,1784545028,6,./.tests/optimization_example  --int_param='-33' --float_param='-135.63228946230893257052' --choice_param='4' --int_param_two='-100' --nr_results=1,0,,c0a08e5e50c7,-33,-100,-135.632289462308932570522301830351,4,5_0,COMPLETED,BOTORCH_MODULAR,-321688.128394106985069811344146728516,-33,-135.632289462308932570522301830351,-100,4


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

Current git-hash: b9f1e470f24bdacf974e4cf9defd5b88ea683b32 (last fully tested stable version 6 commits ago [1da9c7062535004bc4beeb1eb73fba7ae8c5e7ca, 9399])
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 07-20 10:56:46] 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...
Using old run's --time: 60
Using old run's --gpus: 0
Run-UUID: 432f125e-b425-4c41-8151-bb95d9460faf
//.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 - Hyperparam magic, just add data! |
  ===========================================
                                            \
                                             \
                                              \
                                               |\_/|,,_____,~~`
                                               (.".)~~     )`~}}
                                                \o/\ /---~\\ ~}}
                                                  _//    _// ~}
⠋ Writing worker creation log...
omniopt --continue runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1 --num_parallel_jobs 1 --worker_timeout 10 --follow --gpus=0 --mem_gb=4 --num_random_steps=1 --max_eval=2 --parameter float_param range -1000 1000 float --send_anonymized_usage_stats --generate_all_jobs_at_once --live_share
⠋ Disabling logging...
⠋ Setting run folder...
⠋ Creating folder /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2...
⠋ 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/2
Continuation from runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
⠋ 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...
Changed parameter 'float_param': lower from -100.0 to -1000.0, upper from 10.0 to 1000.0, digits from None to 32
⠋ Setting orchestrator...
See https://imageseg.scads.de/omniax/share?user_id=defaultuser&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=161 for live-results.

You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: BOTORCH_MODULAR for 9 steps.
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     │ rangeparameter  │ -100        │ 10          │                       │ int   │ No         │
│ float_param   │ rangeparameter  │ -1000       │ 1000        │                       │ float │ No         │
│ choice_param  │ choiceparameter │             │             │ 1, 2, 4, 8, 16, hallo │       │            │
│ int_param_two │ rangeparameter  │ -100        │ 10          │                       │ int   │ No         │
└───────────────┴─────────────────┴─────────────┴─────────────┴───────────────────────┴───────┴────────────┘
Result-Names
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT      │         min │
└─────────────┴─────────────┘
⠋ Write files and show overview
BOTORCH_MODULAR, best RESULT: -321688.128394107, ▂▁▂▃▆█, finishing jobs, finished 1 job    : 100%|██████████| 6/6 [00:21<00:00,  3.58s/it]
Best RESULT, min (total: 2 + inserted jobs: 4)
┏━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┓
┃ OO_Info_int_pa… ┃ OO_Info_int_pa… ┃ OO_Info_float_… ┃ OO_Info_choic… ┃ int_param ┃ float_param     ┃ int_param_two ┃ choice_param ┃ RESULT         ┃
┡━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━┩
│ -33.0           │ -100.0          │ -135.632289462… │ 4.0            │ -33       │ -135.632289462… │ -100          │ 4            │ -321688.12839… │
└─────────────────┴─────────────────┴─────────────────┴────────────────┴───────────┴─────────────────┴───────────────┴──────────────┴────────────────┘
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   │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘

╭─────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ───────────────────────────────────────────────────────────────╮
│                                                                                                                                                    │
│  ✅  Optimization complete!                                                                                                                        │
│                                                                                                                                                    │
│    📊 Trials: 2 succeeded / 0 failed / 6 done / 6 submitted                                                                                        │
│    ⏱️  Duration: 30s                                                                                                                               │
│    🏆 Best RESULT: -321688.128394107                                                                                                               │
│    📁 Results: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2/results.csv                                                   │
│    🤖 Model: BOTORCH_MODULAR                                                                                                                       │
│                                                                                                                                                    │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

2026-07-20 10:56:49 (2c627d9a-4769-4a23-8a2d-7aed0d36fe22): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-07-20 10:56:50 (2c627d9a-4769-4a23-8a2d-7aed0d36fe22): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-07-20 10:56:50 (2c627d9a-4769-4a23-8a2d-7aed0d36fe22): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.63 s/job
2026-07-20 10:56:50 (2c627d9a-4769-4a23-8a2d-7aed0d36fe22): BOTORCH_MODULAR, eval #1/1 start                    
2026-07-20 10:56:50 (2c627d9a-4769-4a23-8a2d-7aed0d36fe22): BOTORCH_MODULAR, starting new job                   
2026-07-20 10:56:50 (2c627d9a-4769-4a23-8a2d-7aed0d36fe22): BOTORCH_MODULAR, started new job                    
2026-07-20 10:56:58 (2c627d9a-4769-4a23-8a2d-7aed0d36fe22): BOTORCH_MODULAR, new result: RESULT: -264156.898792 
2026-07-20 10:57:00 (2c627d9a-4769-4a23-8a2d-7aed0d36fe22): BOTORCH_MODULAR, best RESULT: -264156.898792447, ▂▁▂▅█, finishing jobs, finished 1 job
2026-07-20 10:57:01 (2c627d9a-4769-4a23-8a2d-7aed0d36fe22): BOTORCH_MODULAR, best RESULT: -264156.898792447, ▂▁▂▅█, getting new HP set (no sbatch)
2026-07-20 10:57:01 (2c627d9a-4769-4a23-8a2d-7aed0d36fe22): BOTORCH_MODULAR, best RESULT: -264156.898792447, ▂▁▂▅█, requested 1 jobs, got 1, 0.61 s/job
2026-07-20 10:57:01 (2c627d9a-4769-4a23-8a2d-7aed0d36fe22): BOTORCH_MODULAR, best RESULT: -264156.898792447, ▂▁▂▅█, eval #1/1 start                    
2026-07-20 10:57:01 (2c627d9a-4769-4a23-8a2d-7aed0d36fe22): BOTORCH_MODULAR, best RESULT: -264156.898792447, ▂▁▂▅█, starting new job                   
2026-07-20 10:57:01 (2c627d9a-4769-4a23-8a2d-7aed0d36fe22): BOTORCH_MODULAR, best RESULT: -264156.898792447, ▂▁▂▅█, started new job                    
2026-07-20 10:57:09 (2c627d9a-4769-4a23-8a2d-7aed0d36fe22): BOTORCH_MODULAR, best RESULT: -264156.898792447, ▂▁▂▅█, new result: RESULT: -321688.128394 
2026-07-20 10:57:11 (2c627d9a-4769-4a23-8a2d-7aed0d36fe22): BOTORCH_MODULAR, best RESULT: -321688.128394107, ▂▁▂▃▆█, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.149 │    1 │        0.149 │
│       2 │   0.066 │    1 │        0.066 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.108 │      │              │
│  Median │   0.108 │      │              │
│   Total │   0.215 │      │              │
│     Max │   0.149 │      │              │
│     Min │   0.066 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.632 │    1 │        0.632 │
│         2 │   0.613 │    1 │        0.613 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.623 │      │              │
│    Median │   0.623 │      │              │
│     Total │   1.245 │      │              │
│       Max │   0.632 │      │              │
│       Min │   0.613 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	1
max_eval	2
run_program	None
experiment_name	None
mem_gb	4
parameter	[['float_param', 'range', '-1000', '1000', 'float']]
continue_previous_job	runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
experiment_constraints	None
run_dir	runs
seed	None
verbose_tqdm	False
model	None
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	True
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	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
disable_notifications	False
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	10
slurm_use_srun	False
time
partition
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
1784545007,788.73046875,28.9

`RESULT` (goal: minimize)

Best value: -321688.12839411
Achieved at:
- int_param_two = -100 (r=0.713, strong positive correlation)
- float_param = -135.63228946231 (r=0.694, moderate positive correlation)
- choice_param = 4 (r=-0.535, moderate negative correlation)
- int_param = -33 (r=-0.068, 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.

Convergence Analysis

Parameter statistics

Parameter	Min	Max	Mean	Std Dev	Count
run_time	6	6	6	0	2
OO_Info_int_param	-38	-33	-35.5	2.5	2
OO_Info_int_param_two	-100	-100	-100	0	2
OO_Info_float_param	-135.6323	-111.6975	-123.6649	11.9674	2
OO_Info_choice_param	4	4	4	0	2
RESULT	-321688.1284	-97855.8626	-191798.7193	78543.925	6
int_param	-100	6	-44	31.3953	6
float_param	-135.6323	10	-67.5012	53.7986	6
int_param_two	-100	-14	-75.6667	34.4028	6
choice_param	2	4	3.6667	0.7454	6

submitit INFO (2026-07-20 10:56:50,802) - Starting with JobEnvironment(job_id=4238, hostname=c0a08e5e50c7, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2026-07-20 10:56:50,802) - Loading pickle: /var/opt/omniopt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2/single_runs/4238/4238_submitted.pkl
Trial-Index: 4

Parameters: {"int_param": -38, "float_param": -111.69754872851753, "int_param_two": -100, "choice_param": 4}
Debug-Infos: 
========
DEBUG INFOS START:
Program-Code: ./.tests/optimization_example  --int_param='-38' --float_param='-111.69754872851753191298' --choice_param='4' --int_param_two='-100' --nr_results=1
pwd: /var/opt/omniopt
File: ./.tests/optimization_example
UID: 0
GID: 0
Status-Change-Time: 1784544891.8553796
Size: 5714 Bytes
Permissions: -rwxr-xr-x
Owner: root
Last access: 1784544590.7225153
Last modification: 1784544590.7225153
Hostname: c0a08e5e50c7
========
DEBUG INFOS END

./.tests/optimization_example  --int_param='-38' --float_param='-111.69754872851753191298' --choice_param='4' --int_param_two='-100' --nr_results=1
stdout:
 OO-Info: int_param: -38
OO-Info: int_param_two: -100
OO-Info: float_param: -111.69754872851753191298
OO-Info: choice_param: 4
RESULT: -264156.898792447

stderr was empty
Result: {'RESULT': -264156.898792447}
Final-results: {'RESULT': -264156.898792447}
EXIT_CODE: 0
submitit INFO (2026-07-20 10:56:58,100) - Job completed successfully
submitit INFO (2026-07-20 10:56:58,100) - Exiting after successful completion