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
2.3569929965046548	-65	-73.71939933024039	-97	1	1.46876413883092

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

2026-08-09 21:16:11 (42f136fd-8727-465c-9bd3-5bc3b47b90b8): BOTORCH_MODULAR, 2 done, ▁█, finishing jobs, finished 1 job

Git-Version

Commit: 13e20a46d71ea5effca97db9d226887fc1438f91 (9418-8-g13e20a46d)


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


Current git-hash: 13e20a46d71ea5effca97db9d226887fc1438f91 (last fully tested stable version 8 commits ago [b54799bbb6092ee7a47e6c8cafaff1661ff693b6, 9418])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 08-09 21:15:33] ax.service.utils.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: 8ade2bde-373c-4c29-8060-00a8773f0f21
/home/runner/.omniax_venvs/Python_3.10.12/x86_64/lib/python3.10/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_3.10.12/x86_64/lib/python3.10/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
  warnings.warn("notify-send not found.")
  _________________________________________________
 /                                                 \
| OmniOpt2 - Like a neural synapse becoming self-aw |
| are.                                              |
 \                                                 /
  =================================================
                                                         \
                                                          \
                                                           \
                                                            \
                                                             /- _  `-/  '
                                                            (/\/ \ \   /\
                                                            / /   | `    \
                                                            O 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=41 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       ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━┩
│      0      │    -81    │ 5.3968048095703125 │      -29      │      8       │ 1.7412993975000002 │    2.2477774005    │
├─────────────┼───────────┼────────────────────┼───────────────┼──────────────┼────────────────────┼────────────────────┤
│      1      │    -65    │ -73.71939933024039 │      -97      │      1       │  1.46876413883092  │ 2.3569929965046548 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴────────────────────┴────────────────────┘
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 │   0.030 │    1 │        0.030 │
│         2 │   0.501 │    1 │        0.501 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.266 │      │              │
│    Median │   0.266 │      │              │
│     Total │   0.531 │      │              │
│       Max │   0.501 │      │              │
│       Min │   0.030 │      │              │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.134 │    1 │        0.134 │
│       2 │   0.100 │    1 │        0.100 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.117 │      │              │
│  Median │   0.117 │      │              │
│   Total │   0.234 │      │              │
│     Max │   0.134 │      │              │
│     Min │   0.100 │      │              │
└─────────┴─────────┴──────┴──────────────┘

╭─────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ───────────────────────────────────────────────────────────────╮
│                                                                                                                                                    │
│  ✅  Optimization complete!                                                                                                                        │
│                                                                                                                                                    │
│    📊 Trials: 2 succeeded / 0 failed / 2 done / 2 submitted                                                                                        │
│    ⏱️  Duration: 46s                                                                                                                               │
│    🏆 Best RESULT1: 1.46876413883092                                                                                                               │
│    🏆 Best RESULT2: 2.3569929965046548                                                                                                             │
│    📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/multiple_evals_per_arm/0/results.csv                                                         │
│    🤖 Model: BOTORCH_MODULAR                                                                                                                       │
│                                                                                                                                                    │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

2026-08-09 21:15:36 (42f136fd-8727-465c-9bd3-5bc3b47b90b8): SOBOL, Started OmniOpt2 run...
2026-08-09 21:15:36 (42f136fd-8727-465c-9bd3-5bc3b47b90b8): SOBOL, getting new HP set (no sbatch)
2026-08-09 21:15:36 (42f136fd-8727-465c-9bd3-5bc3b47b90b8): SOBOL, requested 1 jobs, got 1, 0.03 s/job
2026-08-09 21:15:36 (42f136fd-8727-465c-9bd3-5bc3b47b90b8): SOBOL, eval #1/1 start                    
2026-08-09 21:15:36 (42f136fd-8727-465c-9bd3-5bc3b47b90b8): SOBOL, starting new job                   
2026-08-09 21:15:36 (42f136fd-8727-465c-9bd3-5bc3b47b90b8): SOBOL, started new job                    
2026-08-09 21:15:51 (42f136fd-8727-465c-9bd3-5bc3b47b90b8): SOBOL, new result: RESULT1: 1.741299 (SEM: 0.045023), RESULT2: 2.247777 (SEM: 0.209089)
2026-08-09 21:15:52 (42f136fd-8727-465c-9bd3-5bc3b47b90b8): SOBOL, 1 done, finishing jobs, finished 1 job                                          
2026-08-09 21:15:53 (42f136fd-8727-465c-9bd3-5bc3b47b90b8): BOTORCH_MODULAR, 1 done, getting new HP set (no sbatch)                                
2026-08-09 21:15:53 (42f136fd-8727-465c-9bd3-5bc3b47b90b8): BOTORCH_MODULAR, 1 done, requested 1 jobs, got 1, 0.50 s/job                           
2026-08-09 21:15:53 (42f136fd-8727-465c-9bd3-5bc3b47b90b8): BOTORCH_MODULAR, 1 done, eval #1/1 start                                               
2026-08-09 21:15:53 (42f136fd-8727-465c-9bd3-5bc3b47b90b8): BOTORCH_MODULAR, 1 done, starting new job                                              
2026-08-09 21:15:53 (42f136fd-8727-465c-9bd3-5bc3b47b90b8): BOTORCH_MODULAR, 1 done, started new job                                               
2026-08-09 21:16:08 (42f136fd-8727-465c-9bd3-5bc3b47b90b8): BOTORCH_MODULAR, 1 done, new result: RESULT1: 1.468764 (SEM: 0.017008), RESULT2: 2.356993 (SEM: 0.346034)
2026-08-09 21:16:11 (42f136fd-8727-465c-9bd3-5bc3b47b90b8): BOTORCH_MODULAR, 2 done, ▁█, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.134 │    1 │        0.134 │
│       2 │   0.100 │    1 │        0.100 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.117 │      │              │
│  Median │   0.117 │      │              │
│   Total │   0.234 │      │              │
│     Max │   0.134 │      │              │
│     Min │   0.100 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.030 │    1 │        0.030 │
│         2 │   0.501 │    1 │        0.501 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.266 │      │              │
│    Median │   0.266 │      │              │
│     Total │   0.531 │      │              │
│       Max │   0.501 │      │              │
│       Min │   0.030 │      │              │
└───────────┴─────────┴──────┴──────────────┘

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	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
1786310133,753.64453125,28.1

! 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	12	12	12	0	2
RESULT1	1.4688	1.7413	1.605	0.1363	2
RESULT2	2.2478	2.357	2.3024	0.0546	2
int_param	-81	-65	-73	8	2
float_param	-73.7194	5.3968	-34.1613	39.5581	2
int_param_two	-97	-29	-63	34	2
choice_param	1	8	4.5	3.5	2