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
-98	-74	-89.8149847289…	4	-98	-89.8149847289…	-74	4	-258173.73329…

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

Git-Version

Commit: 186cf0091d7a52c3dbc179feb5896b88032e6afc (9486-319-g186cf0091)

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
0,1786613328,2,4b7a8f69-9f3f-4b88-a5e4-a395866a5eee,1786613330,1786613336,6,./.tests/optimization_example.py --int_param='5' --float_param='-42.7327060699462890625' --choice_param='8'  --int_param_two='-29' --nr_results=1,0,,runnervmvrwv9,5,-29,-42.7327060699462890625,8,0_0,COMPLETED,SOBOL,-34522.232287598897528368979692459106,5,-42.7327060699462890625,-29,8
1,1786613339,2,4b7a8f69-9f3f-4b88-a5e4-a395866a5eee,1786613341,1786613347,6,./.tests/optimization_example.py --int_param='-98' --float_param='-89.81498472895806628458' --choice_param='4'  --int_param_two='-74' --nr_results=1,0,,runnervmvrwv9,-98,-74,-89.814984728958066284576489124447,4,1_0,COMPLETED,BOTORCH_MODULAR,-258173.733291525510139763355255126953,-98,-89.814984728958066284576489124447,-74,4

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.112 │    1 │        0.112 │
│       2 │   0.057 │    1 │        0.057 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.084 │      │              │
│  Median │   0.084 │      │              │
│   Total │   0.169 │      │              │
│     Max │   0.112 │      │              │
│     Min │   0.057 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.025 │    1 │        0.025 │
│         2 │   0.327 │    1 │        0.327 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.176 │      │              │
│    Median │   0.176 │      │              │
│     Total │   0.352 │      │              │
│       Max │   0.327 │      │              │
│       Min │   0.025 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
install	False
config_yaml	None
config_toml	None
config_json	None
num_random_steps	1
max_eval	2
run_program	[['Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUucHkgLS1pbnRfcGFyYW09JyUoaW50X3BhcmFtKScgLS1mbG9hdF9wYXJhbT…
experiment_name	adding_old_jobs_to_new_jobs
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	False
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
1786613326,899.53125,28.8

! 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	-98	5	-46.5	51.5	2
OO_Info_int_param_two	-74	-29	-51.5	22.5	2
OO_Info_float_param	-89.815	-42.7327	-66.2738	23.5411	2
OO_Info_choice_param	4	8	6	2	2
RESULT	-258173.7333	-34522.2323	-146347.9828	111825.7505	2
int_param	-98	5	-46.5	51.5	2
float_param	-89.815	-42.7327	-66.2738	23.5411	2
int_param_two	-74	-29	-51.5	22.5	2
choice_param	4	8	6	2	2

submitit INFO (2026-08-13 09:28:48,762) - Starting with JobEnvironment(job_id=9331, hostname=runnervmvrwv9, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2026-08-13 09:28:48,762) - Loading pickle: /home/runner/work/OmniOpt/OmniOpt/runs/adding_old_jobs_to_new_jobs/0/single_runs/9331/9331_submitted.pkl
Trial-Index: 0

Parameters: {"int_param": 5, "float_param": -42.73270606994629, "int_param_two": -29, "choice_param": 8}
Debug-Infos: 
========
DEBUG INFOS START:
Program-Code: ./.tests/optimization_example.py --int_param='5' --float_param='-42.7327060699462890625' --choice_param='8'  --int_param_two='-29' --nr_results=1
pwd: /home/runner/work/OmniOpt/OmniOpt
File: ./.tests/optimization_example.py
UID: 1001
GID: 1001
Status-Change-Time: 1786612516.7867377
Size: 3641 Bytes
Permissions: -rwxr-xr-x
Owner: runner
Last access: 1786612885.603503
Last modification: 1786612516.7867377
Hostname: runnervmvrwv9
========
DEBUG INFOS END

./.tests/optimization_example.py --int_param='5' --float_param='-42.7327060699462890625' --choice_param='8'  --int_param_two='-29' --nr_results=1
stdout:
 OO-Info: int_param: 5
OO-Info: int_param_two: -29
OO-Info: float_param: -42.7327060699462890625
OO-Info: choice_param: 8
RESULT: -34522.232287598876

stderr was empty
Result: {'RESULT': -34522.232287598876}
Final-results: {'RESULT': -34522.232287598876}
EXIT_CODE: 0
submitit INFO (2026-08-13 09:28:56,351) - Job completed successfully
submitit INFO (2026-08-13 09:28:56,351) - Exiting after successful completion