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)

OO_Info_int…	OO_Info_int…	OO_Info_floa…	OO_Info_cho…	RESULT2	int_param	float_param	int_param_t…	choice_param	RESULT1
-86	-66	-66.73723012…	4	2.9381784388	-86	-66.73723012…	-66	4	1.3976018148

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	min

Last progressbar status

2026-08-10 22:29:52 (906de7cc-0050-4ccf-8198-681a86bbb83c): BOTORCH_MODULAR, 2 done, █▁, finishing jobs, finished 1 job

Git-Version

Commit: 2e73a8e625535e5576cc11aa1a15dbed55b8c259 (9475-3-g2e73a8e62)

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,RESULT1,RESULT2,int_param,float_param,int_param_two,choice_param
0,1786400969,1,906de7cc-0050-4ccf-8198-681a86bbb83c,1786400970,1786400976,6,./.tests/optimization_example --int_param='-86' --float_param='-66.73723012208938598633' --choice_param='4'  --int_param_two='-66' --nr_results=2,0,,runnervmvrwv9,-86,-66,-66.737230122089385986328125,4,0_0,COMPLETED,SOBOL,1.397601814800000008531810635759,2.938178438800000069619500209228,-86,-66.737230122089385986328125,-66,4
1,1786400980,2,906de7cc-0050-4ccf-8198-681a86bbb83c,1786400982,1786400988,6,./.tests/optimization_example --int_param='-22' --float_param='2.33273406957339402013' --choice_param='2'  --int_param_two='4' --nr_results=2,0,,runnervmvrwv9,-22,4,2.332734069573394020125078895944,2,1_0,COMPLETED,BOTORCH_MODULAR,1.45053549211388999040650560346,2.850036131541370032493887265446,-22,2.332734069573394020125078895944,4,2

config_objectives not found

2026-08-10 22:29:28 (906de7cc-0050-4ccf-8198-681a86bbb83c): SOBOL, Started OmniOpt2 run...
2026-08-10 22:29:29 (906de7cc-0050-4ccf-8198-681a86bbb83c): SOBOL, getting new HP set (no sbatch)
2026-08-10 22:29:29 (906de7cc-0050-4ccf-8198-681a86bbb83c): SOBOL, requested 1 jobs, got 1, 0.03 s/job
2026-08-10 22:29:29 (906de7cc-0050-4ccf-8198-681a86bbb83c): SOBOL, eval #1/1 start                    
2026-08-10 22:29:29 (906de7cc-0050-4ccf-8198-681a86bbb83c): SOBOL, starting new job                   
2026-08-10 22:29:29 (906de7cc-0050-4ccf-8198-681a86bbb83c): SOBOL, started new job                    
2026-08-10 22:29:38 (906de7cc-0050-4ccf-8198-681a86bbb83c): SOBOL, new result: RESULT1: 1.397602, RESULT2: 2.938178
2026-08-10 22:29:39 (906de7cc-0050-4ccf-8198-681a86bbb83c): SOBOL, 1 done, finishing jobs, finished 1 job          
2026-08-10 22:29:40 (906de7cc-0050-4ccf-8198-681a86bbb83c): BOTORCH_MODULAR, 1 done, getting new HP set (no sbatch)
2026-08-10 22:29:40 (906de7cc-0050-4ccf-8198-681a86bbb83c): BOTORCH_MODULAR, 1 done, requested 1 jobs, got 1, 0.52 s/job
2026-08-10 22:29:40 (906de7cc-0050-4ccf-8198-681a86bbb83c): BOTORCH_MODULAR, 1 done, eval #1/1 start                    
2026-08-10 22:29:40 (906de7cc-0050-4ccf-8198-681a86bbb83c): BOTORCH_MODULAR, 1 done, starting new job                   
2026-08-10 22:29:40 (906de7cc-0050-4ccf-8198-681a86bbb83c): BOTORCH_MODULAR, 1 done, started new job                    
2026-08-10 22:29:49 (906de7cc-0050-4ccf-8198-681a86bbb83c): BOTORCH_MODULAR, 1 done, new result: RESULT1: 1.450535, RESULT2: 2.850036
2026-08-10 22:29:52 (906de7cc-0050-4ccf-8198-681a86bbb83c): BOTORCH_MODULAR, 2 done, █▁, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.112 │    1 │        0.112 │
│       2 │   0.068 │    1 │        0.068 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.090 │      │              │
│  Median │   0.090 │      │              │
│   Total │   0.180 │      │              │
│     Max │   0.112 │      │              │
│     Min │   0.068 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.025 │    1 │        0.025 │
│         2 │   0.524 │    1 │        0.524 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.274 │      │              │
│    Median │   0.274 │      │              │
│     Total │   0.549 │      │              │
│       Max │   0.524 │      │              │
│       Min │   0.025 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	1
max_eval	2
run_program	[['Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgLS1pbnRfcGFyYW09JyUoaW50X3BhcmFtKScgLS1mbG9hdF9wYXJhbT0nJS…
experiment_name	multi_results_2_results_BOTORCH_MODULAR
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	/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=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	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
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
1786400966,898.7265625,28.9

! 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	6	6	6	0	2
OO_Info_int_param	-86	-22	-54	32	2
OO_Info_int_param_two	-66	4	-31	35	2
OO_Info_float_param	-66.7372	2.3327	-32.2022	34.535	2
OO_Info_choice_param	2	4	3	1	2
RESULT1	1.3976	1.4505	1.4241	0.0265	2
RESULT2	2.85	2.9382	2.8941	0.0441	2
int_param	-86	-22	-54	32	2
float_param	-66.7372	2.3327	-32.2022	34.535	2
int_param_two	-66	4	-31	35	2
choice_param	2	4	3	1	2

submitit INFO (2026-08-10 22:29:29,366) - Starting with JobEnvironment(job_id=121550, hostname=runnervmvrwv9, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2026-08-10 22:29:29,366) - Loading pickle: /home/runner/work/OmniOpt/OmniOpt/runs/multi_results_2_results_BOTORCH_MODULAR/0/single_runs/121550/121550_submitted.pkl
Trial-Index: 0

Parameters: {"int_param": -86, "float_param": -66.73723012208939, "int_param_two": -66, "choice_param": 4}
Debug-Infos: 
========
DEBUG INFOS START:
Program-Code: ./.tests/optimization_example --int_param='-86' --float_param='-66.73723012208938598633' --choice_param='4'  --int_param_two='-66' --nr_results=2 
pwd: /home/runner/work/OmniOpt/OmniOpt
File: ./.tests/optimization_example
UID: 1001
GID: 1001
Status-Change-Time: 1786397765.7582638
Size: 5714 Bytes
Permissions: -rwxr-xr-x
Owner: runner
Last access: 1786398401.5442948
Last modification: 1786397765.7582638
Hostname: runnervmvrwv9
========
DEBUG INFOS END

./.tests/optimization_example --int_param='-86' --float_param='-66.73723012208938598633' --choice_param='4'  --int_param_two='-66' --nr_results=2 
stdout:
 OO-Info: int_param: -86
OO-Info: int_param_two: -66
OO-Info: float_param: -66.73723012208938598633
OO-Info: choice_param: 4
RESULT1: 1.39760181478141
RESULT2: 2.93817843878375

stderr was empty
Result: {'RESULT1': 1.39760181478141, 'RESULT2': 2.93817843878375}
Final-results: {'RESULT1': 1.39760181478141, 'RESULT2': 2.93817843878375}
EXIT_CODE: 0
submitit INFO (2026-08-10 22:29:36,939) - Job completed successfully
submitit INFO (2026-08-10 22:29:36,939) - Exiting after successful completion