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_…	OO_Info_int_…	OO_Info_floa…	OO_Info_choic…	int_param	float_param	int_param_two	fail_or_not	choice_param	RESULT
10	-100	10.0	8	10	10.0	-100	0	8	-110010.92

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
fail_or_not	choice			0, 1

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 22:08:47 (67a65916-662e-4edc-aacb-0178e9953b59): BOTORCH_MODULAR, best RESULT: -110010.92, ▁█, finishing jobs, finished 1 job

Git-Version

Commit: dffaf994f52be69b1cf59dba725dd7c392badc7a (9475-2-gdffaf994f)

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,fail_or_not,choice_param
0,1786399705,2,67a65916-662e-4edc-aacb-0178e9953b59,1786399707,1786399713,6,./.tests/optimization_example  --int_param='-33' --float_param='-76.97535470128059387207' --choice_param='1' --int_param_two='-41' --nr_results=1,0,,runnervmliwqe,-33,-41,-76.9753547012805938720703125,1,0_0,COMPLETED,SOBOL,-102778.107784007996087893843650817871,-33,-76.9753547012805938720703125,-41,1,1
1,1786399716,2,67a65916-662e-4edc-aacb-0178e9953b59,1786399718,1786399724,6,./.tests/optimization_example  --int_param='10' --float_param='10' --choice_param='8' --int_param_two='-100' --nr_results=1,0,,runnervmliwqe,10,-100,10,8,1_0,COMPLETED,BOTORCH_MODULAR,-110010.919999999998253770172595977783,10,10,-100,0,8

2026-08-10 22:08:25 (67a65916-662e-4edc-aacb-0178e9953b59): SOBOL, Started OmniOpt2 run...
2026-08-10 22:08:25 (67a65916-662e-4edc-aacb-0178e9953b59): SOBOL, getting new HP set (no sbatch)
2026-08-10 22:08:25 (67a65916-662e-4edc-aacb-0178e9953b59): SOBOL, requested 1 jobs, got 1, 0.02 s/job
2026-08-10 22:08:25 (67a65916-662e-4edc-aacb-0178e9953b59): SOBOL, eval #1/1 start                    
2026-08-10 22:08:25 (67a65916-662e-4edc-aacb-0178e9953b59): SOBOL, starting new job                   
2026-08-10 22:08:25 (67a65916-662e-4edc-aacb-0178e9953b59): SOBOL, started new job                    
2026-08-10 22:08:34 (67a65916-662e-4edc-aacb-0178e9953b59): SOBOL, new result: RESULT: -102778.107784 
2026-08-10 22:08:36 (67a65916-662e-4edc-aacb-0178e9953b59): SOBOL, best RESULT: -102778.107784008, finishing jobs, finished 1 job
2026-08-10 22:08:36 (67a65916-662e-4edc-aacb-0178e9953b59): BOTORCH_MODULAR, best RESULT: -102778.107784008, getting new HP set (no sbatch)
2026-08-10 22:08:36 (67a65916-662e-4edc-aacb-0178e9953b59): BOTORCH_MODULAR, best RESULT: -102778.107784008, requested 1 jobs, got 1, 0.51 s/job
2026-08-10 22:08:36 (67a65916-662e-4edc-aacb-0178e9953b59): BOTORCH_MODULAR, best RESULT: -102778.107784008, eval #1/1 start                    
2026-08-10 22:08:36 (67a65916-662e-4edc-aacb-0178e9953b59): BOTORCH_MODULAR, best RESULT: -102778.107784008, starting new job                   
2026-08-10 22:08:36 (67a65916-662e-4edc-aacb-0178e9953b59): BOTORCH_MODULAR, best RESULT: -102778.107784008, started new job                    
2026-08-10 22:08:45 (67a65916-662e-4edc-aacb-0178e9953b59): BOTORCH_MODULAR, best RESULT: -102778.107784008, new result: RESULT: -110010.920000 
2026-08-10 22:08:47 (67a65916-662e-4edc-aacb-0178e9953b59): BOTORCH_MODULAR, best RESULT: -110010.92, ▁█, finishing jobs, finished 1 job

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.059 │    1 │        0.059 │
│       2 │   0.054 │    1 │        0.054 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.057 │      │              │
│  Median │   0.057 │      │              │
│   Total │   0.114 │      │              │
│     Max │   0.059 │      │              │
│     Min │   0.054 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.023 │    1 │        0.023 │
│         2 │   0.511 │    1 │        0.511 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.267 │      │              │
│    Median │   0.267 │      │              │
│     Total │   0.534 │      │              │
│       Max │   0.511 │      │              │
│       Min │   0.023 │      │              │
└───────────┴─────────┴──────┴──────────────┘

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'],
	['fail_or_not', 'choice', '0,1']]
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
1786399703,768.96484375,29.8

! 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	-33	10	-11.5	21.5	2
OO_Info_int_param_two	-100	-41	-70.5	29.5	2
OO_Info_float_param	-76.9754	10	-33.4877	43.4877	2
OO_Info_choice_param	1	8	4.5	3.5	2
RESULT	-110010.92	-102778.1078	-106394.5139	3616.4061	2
int_param	-33	10	-11.5	21.5	2
float_param	-76.9754	10	-33.4877	43.4877	2
int_param_two	-100	-41	-70.5	29.5	2
fail_or_not	0	1	0.5	0.5	2
choice_param	1	8	4.5	3.5	2

submitit INFO (2026-08-10 22:08:25,971) - Starting with JobEnvironment(job_id=87833, hostname=runnervmliwqe, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2026-08-10 22:08:25,971) - Loading pickle: /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/4/single_runs/87833/87833_submitted.pkl
Trial-Index: 0

Parameters: {"int_param": -33, "float_param": -76.9753547012806, "int_param_two": -41, "fail_or_not": 1, "choice_param": 1}
Debug-Infos: 
========
DEBUG INFOS START:
Program-Code: ./.tests/optimization_example  --int_param='-33' --float_param='-76.97535470128059387207' --choice_param='1' --int_param_two='-41' --nr_results=1
pwd: /home/runner/work/OmniOpt/OmniOpt
File: ./.tests/optimization_example
UID: 1001
GID: 1001
Status-Change-Time: 1786398343.9965572
Size: 5714 Bytes
Permissions: -rwxr-xr-x
Owner: runner
Last access: 1786398996.608951
Last modification: 1786398343.9965572
Hostname: runnervmliwqe
========
DEBUG INFOS END

./.tests/optimization_example  --int_param='-33' --float_param='-76.97535470128059387207' --choice_param='1' --int_param_two='-41' --nr_results=1
stdout:
 OO-Info: int_param: -33
OO-Info: int_param_two: -41
OO-Info: float_param: -76.97535470128059387207
OO-Info: choice_param: 1
RESULT: -102778.107784008

stderr was empty
Result: {'RESULT': -102778.107784008}
Final-results: {'RESULT': -102778.107784008}
EXIT_CODE: 0
submitit INFO (2026-08-10 22:08:33,531) - Job completed successfully
submitit INFO (2026-08-10 22:08:33,532) - Exiting after successful completion