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: 1, failed: 1)

OO_Info_int…	OO_Info_int_…	OO_Info_flo…	OO_Info_choi…	int_param	float_param	int_param_two	fail_or_not	choice_param	RESULT
-18	-35	-81.8909512…	2	-18	-81.8909512…	-35	0	2	-96884.8940…

Job Summary per Generation Node

Generation Node	Total	COMPLETED	FAILED
SOBOL	1	1	0
BOTORCH_MODULAR	1	0	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
1	1	0	2

Result names and types

name	min/max
RESULT	min

Git-Version

Commit: 342bff4932d73c05e174cf3b3f5750a19948e1c0 (9486-314-g342bff493)

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
0,1786610431,2,b430621a-2f7d-44b8-aaba-0b55d360b169,1786610433,1786610439,6,./.tests/optimization_example.py  --int_param='-18' --float_param='-81.89095124602317810059' --choice_param='2' --int_param_two='-35' --nr_results=1 --fail_or_not=0,0,,runnervmliwqe,-18,-35,-81.890951246023163889731222297996,2,0_0,COMPLETED,SOBOL,-96884.894084387706243433058261871338,-18,-81.8909512460231781005859375,-35,0,2
1,1786610441,2,b430621a-2f7d-44b8-aaba-0b55d360b169,1786610443,1786610449,6,./.tests/optimization_example.py  --int_param='-99' --float_param='1.56011160393298009552' --choice_param='4' --int_param_two='-83' --nr_results=1 --fail_or_not=1,1,,runnervmliwqe,-99,-83,1.560111603932980095521543262294,4,1_0,FAILED,BOTORCH_MODULAR,,-99,1.560111603932980095521543262294,-83,1,4


⚠ Raw data does not conform to the expected structure. Expected either a tuple of (mean, SEM) or a float, but got None.

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.058 │    1 │        0.058 │
│       2 │   0.050 │    1 │        0.050 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.054 │      │              │
│  Median │   0.054 │      │              │
│   Total │   0.108 │      │              │
│     Max │   0.058 │      │              │
│     Min │   0.050 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.023 │    1 │        0.023 │
│         2 │   0.518 │    1 │        0.518 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.271 │      │              │
│    Median │   0.271 │      │              │
│     Total │   0.542 │      │              │
│       Max │   0.518 │      │              │
│       Min │   0.023 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
install	False
config_yaml	None
config_toml	None
config_json	None
num_random_steps	1
max_eval	2
run_program	[['Li8udGVzdHMvb3B0aW1pemF0aW9uX2V4YW1wbGUucHkgIC0taW50X3BhcmFtPSclKGludF9wYXJhbSknIC0tZmxvYXRfcGFyYW…
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
1786610429,769.49609375,29.9

! 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	-99	-18	-58.5	40.5	2
OO_Info_int_param_two	-83	-35	-59	24	2
OO_Info_float_param	-81.891	1.5601	-40.1654	41.7255	2
OO_Info_choice_param	2	4	3	1	2
RESULT	-96884.8941	-96884.8941	-96884.8941	0	1
int_param	-99	-18	-58.5	40.5	2
float_param	-81.891	1.5601	-40.1654	41.7255	2
int_param_two	-83	-35	-59	24	2
fail_or_not	0	1	0.5	0.5	2
choice_param	2	4	3	1	2

submitit INFO (2026-08-13 08:40:31,579) - Starting with JobEnvironment(job_id=15168, hostname=runnervmliwqe, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2026-08-13 08:40:31,579) - Loading pickle: /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/5/single_runs/15168/15168_submitted.pkl
Trial-Index: 0

Parameters: {"int_param": -18, "float_param": -81.89095124602318, "int_param_two": -35, "fail_or_not": 0, "choice_param": 2}
Debug-Infos: 
========
DEBUG INFOS START:
Program-Code: ./.tests/optimization_example.py  --int_param='-18' --float_param='-81.89095124602317810059' --choice_param='2' --int_param_two='-35' --nr_results=1 --fail_or_not=0
pwd: /home/runner/work/OmniOpt/OmniOpt
File: ./.tests/optimization_example.py
UID: 1001
GID: 1001
Status-Change-Time: 1786608549.1705341
Size: 3641 Bytes
Permissions: -rwxr-xr-x
Owner: runner
Last access: 1786608895.5749702
Last modification: 1786608549.1705341
Hostname: runnervmliwqe
========
DEBUG INFOS END

./.tests/optimization_example.py  --int_param='-18' --float_param='-81.89095124602317810059' --choice_param='2' --int_param_two='-35' --nr_results=1 --fail_or_not=0
stdout:
 OO-Info: int_param: -18
OO-Info: int_param_two: -35
OO-Info: float_param: -81.89095124602317810059
OO-Info: choice_param: 2
RESULT: -96884.89408438775

stderr was empty
Result: {'RESULT': -96884.89408438775}
Final-results: {'RESULT': -96884.89408438775}
EXIT_CODE: 0
submitit INFO (2026-08-13 08:40:39,135) - Job completed successfully
submitit INFO (2026-08-13 08:40:39,135) - Exiting after successful completion