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 RESULT, min (total: 2)

OO_Info_int_pa…	OO_Info_int_pa…	OO_Info_float_…	OO_Info_choic…	int_param	float_param	int_param_two	choice_param	RESULT
-88	-98	-5.72822631819…	16	-88	-5.72822631819…	-98	16	-194415.86839…

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
RESULT	min

Last progressbar status

2026-08-10 21:47:01 (ab173d75-817a-4164-a2c2-8ce58743df6d): BOTORCH_MODULAR, best RESULT: -194415.868399345, ▁█, 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,RESULT,int_param,float_param,int_param_two,choice_param
0,1786398399,2,ab173d75-817a-4164-a2c2-8ce58743df6d,1786398401,1786398407,6,./.tests/optimization_example  --int_param='-13' --float_param='-69.06282126903533935547' --choice_param='4' --int_param_two='-35' --nr_results=1,0,,runnervmvrwv9,-13,-35,-69.06282126903533935546875,4,0_0,COMPLETED,SOBOL,-73978.734943290706723928451538085938,-13,-69.06282126903533935546875,-35,4
1,1786398410,2,ab173d75-817a-4164-a2c2-8ce58743df6d,1786398412,1786398418,6,./.tests/optimization_example  --int_param='-88' --float_param='-5.72822631819796423969' --choice_param='16' --int_param_two='-98' --nr_results=1,0,,runnervmvrwv9,-88,-98,-5.728226318197964239686825749232,16,1_0,COMPLETED,BOTORCH_MODULAR,-194415.868399344995850697159767150879,-88,-5.728226318197964239686825749232,-98,16

2026-08-10 21:46:39 (ab173d75-817a-4164-a2c2-8ce58743df6d): SOBOL, Started OmniOpt2 run...
2026-08-10 21:46:39 (ab173d75-817a-4164-a2c2-8ce58743df6d): SOBOL, getting new HP set (no sbatch)
2026-08-10 21:46:39 (ab173d75-817a-4164-a2c2-8ce58743df6d): SOBOL, requested 1 jobs, got 1, 0.02 s/job
2026-08-10 21:46:39 (ab173d75-817a-4164-a2c2-8ce58743df6d): SOBOL, eval #1/1 start                    
2026-08-10 21:46:39 (ab173d75-817a-4164-a2c2-8ce58743df6d): SOBOL, starting new job                   
2026-08-10 21:46:39 (ab173d75-817a-4164-a2c2-8ce58743df6d): SOBOL, started new job                    
2026-08-10 21:46:48 (ab173d75-817a-4164-a2c2-8ce58743df6d): SOBOL, new result: RESULT: -73978.734943  
2026-08-10 21:46:50 (ab173d75-817a-4164-a2c2-8ce58743df6d): SOBOL, best RESULT: -73978.7349432907, finishing jobs, finished 1 job
2026-08-10 21:46:50 (ab173d75-817a-4164-a2c2-8ce58743df6d): BOTORCH_MODULAR, best RESULT: -73978.7349432907, getting new HP set (no sbatch)
2026-08-10 21:46:50 (ab173d75-817a-4164-a2c2-8ce58743df6d): BOTORCH_MODULAR, best RESULT: -73978.7349432907, requested 1 jobs, got 1, 0.32 s/job
2026-08-10 21:46:50 (ab173d75-817a-4164-a2c2-8ce58743df6d): BOTORCH_MODULAR, best RESULT: -73978.7349432907, eval #1/1 start                    
2026-08-10 21:46:50 (ab173d75-817a-4164-a2c2-8ce58743df6d): BOTORCH_MODULAR, best RESULT: -73978.7349432907, starting new job                   
2026-08-10 21:46:50 (ab173d75-817a-4164-a2c2-8ce58743df6d): BOTORCH_MODULAR, best RESULT: -73978.7349432907, started new job                    
2026-08-10 21:46:59 (ab173d75-817a-4164-a2c2-8ce58743df6d): BOTORCH_MODULAR, best RESULT: -73978.7349432907, new result: RESULT: -194415.868399 
2026-08-10 21:47:01 (ab173d75-817a-4164-a2c2-8ce58743df6d): BOTORCH_MODULAR, best RESULT: -194415.868399345, ▁█, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.115 │    1 │        0.115 │
│       2 │   0.057 │    1 │        0.057 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.086 │      │              │
│  Median │   0.086 │      │              │
│   Total │   0.171 │      │              │
│     Max │   0.115 │      │              │
│     Min │   0.057 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.025 │    1 │        0.025 │
│         2 │   0.316 │    1 │        0.316 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.171 │      │              │
│    Median │   0.171 │      │              │
│     Total │   0.341 │      │              │
│       Max │   0.316 │      │              │
│       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	[['Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW09Jy…
experiment_name	__main__tests__BOTORCH_MODULAR___nogridsearch
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	['RESULT=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	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	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
1786398397,898.59765625,28.8

! 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	-88	-13	-50.5	37.5	2
OO_Info_int_param_two	-98	-35	-66.5	31.5	2
OO_Info_float_param	-69.0628	-5.7282	-37.3955	31.6673	2
OO_Info_choice_param	4	16	10	6	2
RESULT	-194415.8684	-73978.7349	-134197.3017	60218.5667	2
int_param	-88	-13	-50.5	37.5	2
float_param	-69.0628	-5.7282	-37.3955	31.6673	2
int_param_two	-98	-35	-66.5	31.5	2
choice_param	4	16	10	6	2

submitit INFO (2026-08-10 21:46:39,999) - Starting with JobEnvironment(job_id=66352, hostname=runnervmvrwv9, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2026-08-10 21:46:39,999) - Loading pickle: /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/0/single_runs/66352/66352_submitted.pkl
Trial-Index: 0

Parameters: {"int_param": -13, "float_param": -69.06282126903534, "int_param_two": -35, "choice_param": 4}
Debug-Infos: 
========
DEBUG INFOS START:
Program-Code: ./.tests/optimization_example  --int_param='-13' --float_param='-69.06282126903533935547' --choice_param='4' --int_param_two='-35' --nr_results=1
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='-13' --float_param='-69.06282126903533935547' --choice_param='4' --int_param_two='-35' --nr_results=1
stdout:
 OO-Info: int_param: -13
OO-Info: int_param_two: -35
OO-Info: float_param: -69.06282126903533935547
OO-Info: choice_param: 4
RESULT: -73978.7349432907

stderr was empty
Result: {'RESULT': -73978.7349432907}
Final-results: {'RESULT': -73978.7349432907}
EXIT_CODE: 0
submitit INFO (2026-08-10 21:46:47,563) - Job completed successfully
submitit INFO (2026-08-10 21:46:47,563) - Exiting after successful completion