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 RESULT1, min (total: 2)

RESULT2	int_param	float_param	int_param_two	choice_param	RESULT1
2.27682956875967	4	-52.913786307479995	7	16	1.13139476238667

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
RESULT1	min
RESULT2	max

Last progressbar status

2026-05-24 06:45:14 (9fa707f9-bef5-40d4-995c-852ccf55e213): BOTORCH_MODULAR, 2 done, ▁█, finishing jobs, finished 1 job

Git-Version

Commit: 3d587dc4b297f4e0db9767b04ad80de912dc9888 (9335)

trial_index,submit_time,queue_time,worker_generator_uuid,start_time,end_time,run_time,program_string,exit_code,signal,hostname,arm_name,trial_status,generation_node,RESULT1,RESULT2,int_param,float_param,int_param_two,choice_param
0,1779605079,2,9fa707f9-bef5-40d4-995c-852ccf55e213,1779605081,1779605093,12,./.tests/optimization_example  --int_param='-90' --float_param='-74.04010638594627380371' --choice_param='4' --int_param_two='-65' --nr_results=2,0,,runnervmg397c,0_0,COMPLETED,SOBOL,1.470508236999999995830989973911,2.541447922400000170028988577542,-90,-74.0401063859462738037109375,-65,4
1,1779605096,2,9fa707f9-bef5-40d4-995c-852ccf55e213,1779605098,1779605110,12,./.tests/optimization_example  --int_param='4' --float_param='-52.9137863074799952301' --choice_param='16' --int_param_two='7' --nr_results=2,0,,runnervmg397c,1_0,COMPLETED,BOTORCH_MODULAR,1.131394762386670027609625321929,2.276829568759669797373135224916,4,-52.913786307479995230096392333508,7,16


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

Current git-hash: 3d587dc4b297f4e0db9767b04ad80de912dc9888 (version: 9335)
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 05-24 06:44:35] ax.storage.sqa_store.with_db_settings_base: Ax currently requires a sqlalchemy version below 2.0. This will be addressed in a future release. Disabling SQL storage in Ax for now, if you would like to use SQL storage please install Ax with mysql extras via `pip install ax-platform[mysql]`.
Run-UUID: 4b9a3c22-b149-46fa-b73a-2cd6f84b33f0
/home/runner/.omniax_venvs/Python_3.12.3/x86_64/lib/python3.12/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)
/home/runner/.omniax_venvs/Python_3.12.3/x86_64/lib/python3.12/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
  warnings.warn("notify-send not found.")
  _________________________________________________
 /                                                 \
| OmniOpt2 - Hyperparameters: The Hitchcock thrille |
| r of machine learning.                            |
 \                                                 /
  =================================================
                                                 \
                                                  \
                                                   \
                                                    \
                                                        ____________
                                                        |__________|
                                                       /           /\
                                                      /           /  \
                                                     /___________/___/|
                                                     |          |     |
                                                     |  ==\ /== |     |
                                                     |   O   O  | \ \ |
                                                     |     <    |  \ \|
                                                    /|          |   \ \
                                                   / |  \_____/ |   / /
                                                  / /|          |  / /|
                                                 /||\|          | /||\/
                                                     -------------|
                                                         | |    | |
                                                        <__/    \__>
omniopt --live_share --send_anonymized_usage_stats --partition alpha --experiment_name=multiple_evals_per_arm --mem_gb=4 --time=1200 --worker_timeout=5 --max_eval 2 --num_parallel_jobs 1 --gpus=0 --run_program Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9pY2VfcGFyYW0pJyAtLWludF9wYXJhbV90d289JyUoaW50X3BhcmFtX3R3byknIC0tbnJfcmVzdWx0cz0y --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 --result_names RESULT1=min RESULT2=max --generate_all_jobs_at_once --revert_to_random_when_seemingly_exhausted --nr_evals_per_arm=2 --beartype --show_generate_time_table --disable_notifications
Run-folder: /home/runner/work/OmniOpt/OmniOpt/runs/multiple_evals_per_arm/0
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=multiple_evals_per_arm&run_nr=0 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=2
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? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT1     │         min │
│ RESULT2     │         max │
└─────────────┴─────────────┘
Your console does not support sixel-images. Will not print Pareto-frontier as a 
matplotlib-sixel-plot for RESULT1/RESULT2.
Pareto-Front for RESULT1/RESULT2:
┏━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓
┃ trial_index ┃ int_param ┃     float_param     ┃ int_param_two ┃ choice_param ┃     RESULT1      ┃     RESULT2      ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│      1      │     4     │ -52.913786307479995 │       7       │      16      │ 1.13139476238667 │ 2.27682956875967 │
└─────────────┴───────────┴─────────────────────┴───────────────┴──────────────┴──────────────────┴──────────────────┘
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
Runtime Infos
┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Number of evaluations ┃  Min time  ┃  Max time  ┃ Average time ┃ Median time ┃
┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│           2           │ 12.00 sec  │ 12.00 sec  │  12.00 sec   │  12.00 sec  │
└───────────────────────┴────────────┴────────────┴──────────────┴─────────────┘
Model generation times
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.047 │    1 │        0.047 │
│         2 │   0.637 │    1 │        0.637 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.342 │      │              │
│    Median │   0.342 │      │              │
│     Total │   0.684 │      │              │
│       Max │   0.637 │      │              │
│       Min │   0.047 │      │              │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.254 │    1 │        0.254 │
│       2 │   0.102 │    1 │        0.102 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.178 │      │              │
│  Median │   0.178 │      │              │
│   Total │   0.356 │      │              │
│     Max │   0.254 │      │              │
│     Min │   0.102 │      │              │
└─────────┴─────────┴──────┴──────────────┘

╭──────────────────────────────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ────────────────────────────────────────────────────────────────────────────────────────╮
│                                                                                                                                                                                                      │
│  ✅  Optimization complete!                                                                                                                                                                          │
│                                                                                                                                                                                                      │
│    📊 Trials: 2 succeeded / 0 failed / 2 done / 2 submitted                                                                                                                                          │
│    ⏱️  Duration: 49s                                                                                                                                                                                 │
│    🏆 Best RESULT1: 1.13139476238667                                                                                                                                                                 │
│    🏆 Best RESULT2: 2.5414479224                                                                                                                                                                     │
│    📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/multiple_evals_per_arm/0/results.csv                                                                                                           │
│    🧠 Model: BOTORCH_MODULAR                                                                                                                                                                         │
│                                                                                                                                                                                                      │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

2026-05-24 06:44:39 (9fa707f9-bef5-40d4-995c-852ccf55e213): SOBOL, Started OmniOpt2 run...
2026-05-24 06:44:39 (9fa707f9-bef5-40d4-995c-852ccf55e213): SOBOL, getting new HP set (no sbatch)
2026-05-24 06:44:39 (9fa707f9-bef5-40d4-995c-852ccf55e213): SOBOL, requested 1 jobs, got 1, 0.05 s/job
2026-05-24 06:44:39 (9fa707f9-bef5-40d4-995c-852ccf55e213): SOBOL, eval #1/1 start                    
2026-05-24 06:44:39 (9fa707f9-bef5-40d4-995c-852ccf55e213): SOBOL, starting new job                   
2026-05-24 06:44:39 (9fa707f9-bef5-40d4-995c-852ccf55e213): SOBOL, started new job                    
2026-05-24 06:44:54 (9fa707f9-bef5-40d4-995c-852ccf55e213): SOBOL, new result: RESULT1: 1.470508 (SEM: 0.356950), RESULT2: 2.541448 (SEM: 0.226052)
2026-05-24 06:44:55 (9fa707f9-bef5-40d4-995c-852ccf55e213): SOBOL, 1 done, finishing jobs, finished 1 job                                          
2026-05-24 06:44:56 (9fa707f9-bef5-40d4-995c-852ccf55e213): BOTORCH_MODULAR, 1 done, getting new HP set (no sbatch)                                
2026-05-24 06:44:56 (9fa707f9-bef5-40d4-995c-852ccf55e213): BOTORCH_MODULAR, 1 done, requested 1 jobs, got 1, 0.64 s/job                           
2026-05-24 06:44:56 (9fa707f9-bef5-40d4-995c-852ccf55e213): BOTORCH_MODULAR, 1 done, eval #1/1 start                                               
2026-05-24 06:44:56 (9fa707f9-bef5-40d4-995c-852ccf55e213): BOTORCH_MODULAR, 1 done, starting new job                                              
2026-05-24 06:44:56 (9fa707f9-bef5-40d4-995c-852ccf55e213): BOTORCH_MODULAR, 1 done, started new job                                               
2026-05-24 06:45:11 (9fa707f9-bef5-40d4-995c-852ccf55e213): BOTORCH_MODULAR, 1 done, new result: RESULT1: 1.131395 (SEM: 0.040118), RESULT2: 2.276830 (SEM: 0.000330)
2026-05-24 06:45:14 (9fa707f9-bef5-40d4-995c-852ccf55e213): BOTORCH_MODULAR, 2 done, ▁█, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.254 │    1 │        0.254 │
│       2 │   0.102 │    1 │        0.102 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.178 │      │              │
│  Median │   0.178 │      │              │
│   Total │   0.356 │      │              │
│     Max │   0.254 │      │              │
│     Min │   0.102 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.047 │    1 │        0.047 │
│         2 │   0.637 │    1 │        0.637 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.342 │      │              │
│    Median │   0.342 │      │              │
│     Total │   0.684 │      │              │
│       Max │   0.637 │      │              │
│       Min │   0.047 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	1
max_eval	2
run_program	[['Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09JyUoZmxvYXRfcGFyYW0pJyAtLWNob2ljZV9wYXJhbT0nJShjaG9p…
experiment_name	multiple_evals_per_arm
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	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
disable_previous_job_constraint	False
workdir
occ_type	euclid
result_names	['RESULT1=min', 'RESULT2=max']
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	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	2
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	1200
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	True

This logs the CPU and RAM usage of the main worker process.

timestamp,ram_usage_mb,cpu_usage_percent
1779605077,780.55078125,26.9

! 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	12	12	12	0	2
RESULT1	1.1314	1.4705	1.301	0.1696	2
RESULT2	2.2768	2.5414	2.4091	0.1323	2
int_param	-90	4	-43	47	2
float_param	-74.0401	-52.9138	-63.4769	10.5632	2
int_param_two	-65	7	-29	36	2
choice_param	4	16	10	6	2

submitit INFO (2026-05-24 06:44:39,798) - Starting with JobEnvironment(job_id=73147, hostname=runnervmg397c, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2026-05-24 06:44:39,798) - Loading pickle: /home/runner/work/OmniOpt/OmniOpt/runs/multiple_evals_per_arm/0/single_runs/73147/73147_submitted.pkl
Trial-Index: 0
Running 2 sub-evaluations for trial 0...

  Sub-eval 1/2 for trial 0: {'RESULT1': 1.82745798568158, 'RESULT2': 2.31539640305297}
OO-Info: int_param: -90
OO-Info: int_param_two: -65
OO-Info: float_param: -74.04010638594627380371
OO-Info: choice_param: 4
RESULT1: 1.82745798568158
RESULT2: 2.31539640305297


  Sub-eval 2/2 for trial 0: {'RESULT1': 1.11355848827316, 'RESULT2': 2.76749944183709}
OO-Info: int_param: -90
OO-Info: int_param_two: -65
OO-Info: float_param: -74.04010638594627380371
OO-Info: choice_param: 4
RESULT1: 1.11355848827316
RESULT2: 2.76749944183709

Aggregated result for trial 0: RESULT1: 1.470508 (SEM: 0.356950), RESULT2: 2.541448 (SEM: 0.226052)
submitit INFO (2026-05-24 06:44:53,326) - Job completed successfully
submitit INFO (2026-05-24 06:44:53,327) - Exiting after successful completion