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
2.1969104914	-76	-87.42319911718369	-36	4	1.5754471947000002

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

2026-08-10 06:16:27 (eb3e70d0-fb17-4fc2-81d7-d9207bd5b55d): BOTORCH_MODULAR, 2 done, █▁, finishing jobs, finished 1 job

Git-Version

Commit: a8b8249cb96b9a463ce0aacb00c08f5e88f4a047 (9428-2-ga8b8249cb)


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


Current git-hash: a8b8249cb96b9a463ce0aacb00c08f5e88f4a047 (last fully tested stable version 2 commits ago [13e20a46d71ea5effca97db9d226887fc1438f91, 9428])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 08-10 06:15:49] 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: a3a4df4f-c223-48c7-b0aa-b88bd9ab92f2
/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.")
  _________________________________________________
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| OmniOpt2 - Hyperparameter tuning: part science, p |
| art sorcery.                                      |
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                                                        ("`-'  '-/") .___..--' ' "`-._
                                                         ` *_ *  )    `-.   (      ) .`-.__. `)
                                                          (_Y_.) ' ._   )   `._` ;  `` -. .-'
                                                       _.. `--'_..-_/   /--' _ .' ,4
                                                      ( i l ),-''  ( l i),'  ( ( ! .-'
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=43 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      │    -76    │ -87.42319911718369 │      -36      │      4       │ 1.5754471947000002 │ 2.1969104914 │
└─────────────┴───────────┴────────────────────┴───────────────┴──────────────┴────────────────────┴──────────────┘
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 │   0.552 │    1 │        0.552 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.291 │      │              │
│    Median │   0.291 │      │              │
│     Total │   0.582 │      │              │
│       Max │   0.552 │      │              │
│       Min │   0.030 │      │              │
└───────────┴─────────┴──────┴──────────────┘
Job submission durations
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.135 │    1 │        0.135 │
│       2 │   0.104 │    1 │        0.104 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.119 │      │              │
│  Median │   0.119 │      │              │
│   Total │   0.239 │      │              │
│     Max │   0.135 │      │              │
│     Min │   0.104 │      │              │
└─────────┴─────────┴──────┴──────────────┘

╭─────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ───────────────────────────────────────────────────────────────╮
│                                                                                                                                                    │
│  ✅  Optimization complete!                                                                                                                        │
│                                                                                                                                                    │
│    📊 Trials: 2 succeeded / 0 failed / 2 done / 2 submitted                                                                                        │
│    ⏱️  Duration: 47s                                                                                                                               │
│    🏆 Best RESULT1: 1.5754471947000002                                                                                                             │
│    🏆 Best RESULT2: 2.426691817675845                                                                                                              │
│    📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/multiple_evals_per_arm/0/results.csv                                                         │
│    🤖 Model: BOTORCH_MODULAR                                                                                                                       │
│                                                                                                                                                    │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

2026-08-10 06:15:52 (eb3e70d0-fb17-4fc2-81d7-d9207bd5b55d): SOBOL, Started OmniOpt2 run...
2026-08-10 06:15:52 (eb3e70d0-fb17-4fc2-81d7-d9207bd5b55d): SOBOL, getting new HP set (no sbatch)
2026-08-10 06:15:52 (eb3e70d0-fb17-4fc2-81d7-d9207bd5b55d): SOBOL, requested 1 jobs, got 1, 0.03 s/job
2026-08-10 06:15:52 (eb3e70d0-fb17-4fc2-81d7-d9207bd5b55d): SOBOL, eval #1/1 start                    
2026-08-10 06:15:52 (eb3e70d0-fb17-4fc2-81d7-d9207bd5b55d): SOBOL, starting new job                   
2026-08-10 06:15:52 (eb3e70d0-fb17-4fc2-81d7-d9207bd5b55d): SOBOL, started new job                    
2026-08-10 06:16:07 (eb3e70d0-fb17-4fc2-81d7-d9207bd5b55d): SOBOL, new result: RESULT1: 1.575447 (SEM: 0.197264), RESULT2: 2.196910 (SEM: 0.104616)
2026-08-10 06:16:09 (eb3e70d0-fb17-4fc2-81d7-d9207bd5b55d): SOBOL, 1 done, finishing jobs, finished 1 job                                          
2026-08-10 06:16:09 (eb3e70d0-fb17-4fc2-81d7-d9207bd5b55d): BOTORCH_MODULAR, 1 done, getting new HP set (no sbatch)                                
2026-08-10 06:16:09 (eb3e70d0-fb17-4fc2-81d7-d9207bd5b55d): BOTORCH_MODULAR, 1 done, requested 1 jobs, got 1, 0.55 s/job                           
2026-08-10 06:16:09 (eb3e70d0-fb17-4fc2-81d7-d9207bd5b55d): BOTORCH_MODULAR, 1 done, eval #1/1 start                                               
2026-08-10 06:16:09 (eb3e70d0-fb17-4fc2-81d7-d9207bd5b55d): BOTORCH_MODULAR, 1 done, starting new job                                              
2026-08-10 06:16:09 (eb3e70d0-fb17-4fc2-81d7-d9207bd5b55d): BOTORCH_MODULAR, 1 done, started new job                                               
2026-08-10 06:16:25 (eb3e70d0-fb17-4fc2-81d7-d9207bd5b55d): BOTORCH_MODULAR, 1 done, new result: RESULT1: 1.931927 (SEM: 0.057665), RESULT2: 2.426692 (SEM: 0.242874)
2026-08-10 06:16:27 (eb3e70d0-fb17-4fc2-81d7-d9207bd5b55d): BOTORCH_MODULAR, 2 done, █▁, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.135 │    1 │        0.135 │
│       2 │   0.104 │    1 │        0.104 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.119 │      │              │
│  Median │   0.119 │      │              │
│   Total │   0.239 │      │              │
│     Max │   0.135 │      │              │
│     Min │   0.104 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.030 │    1 │        0.030 │
│         2 │   0.552 │    1 │        0.552 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.291 │      │              │
│    Median │   0.291 │      │              │
│     Total │   0.582 │      │              │
│       Max │   0.552 │      │              │
│       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
1786342549,753.04296875,28.3

! 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	1.5754	1.9319	1.7537	0.1782	2
RESULT2	2.1969	2.4267	2.3118	0.1149	2
int_param	-76	-16	-46	30	2
float_param	-87.4232	3.8943	-41.7645	45.6587	2
int_param_two	-36	-35	-35.5	0.5	2
choice_param	No numerical statistics available