OmniOpt2

Experiment overview

Setting	Value
Model for non-random steps	BOTORCH_MODULAR
Max. nr. evaluations	5
Number random steps	2
Nr. of workers (parameter)	5

Best RESULT, min (total: 5)

x	y	RESULT
123	1234.0	1231234.0

Job Summary per Generation Node

Generation Node	Total	COMPLETED
SOBOL	2	2
BOTORCH_MODULAR	3	3

Experiment parameters

Name	Type	Lower bound	Upper bound	Type	Log Scale?
x	range	123	1000	int	No
y	range	1234	5431	float	No

Number of evaluations

Failed	Succeeded	Running	Total
0	5	0	5

Result names and types

name	min/max
RESULT	min

Git-Version

Commit: e5400cf5355eafc83fee2560bf8d06d5d8a990a6

trial_index,submit_time,queue_time,worker_generator_uuid,start_time,end_time,run_time,program_string,exit_code,signal,hostname,arm_name,trial_status,generation_node,RESULT,x,y
0,1784531155,2,b40dc874-e30b-4e21-a505-043963589325,1784531157,1784531163,6,echo "RESULT: 5934888.74742668867111206055",0,,runnervm3jd5f,0_0,COMPLETED,SOBOL,5934888.747426688671112060546875,593,4888.747426688671112060546875
1,1784531165,1,b40dc874-e30b-4e21-a505-043963589325,1784531166,1784531172,6,echo "RESULT: 4941771.96409198455512523651",0,,runnervm3jd5f,1_0,COMPLETED,SOBOL,4941771.96409198455512523651123046875,494,1771.96409198455512523651123046875
2,1784531175,1,b40dc874-e30b-4e21-a505-043963589325,1784531176,1784531182,6,echo "RESULT: 2541234",0,,runnervm3jd5f,2_0,COMPLETED,BOTORCH_MODULAR,2541234,254,1234
3,1784531185,1,b40dc874-e30b-4e21-a505-043963589325,1784531186,1784531192,6,echo "RESULT: 1231234",0,,runnervm3jd5f,3_0,COMPLETED,BOTORCH_MODULAR,1231234,123,1234
4,1784531195,1,b40dc874-e30b-4e21-a505-043963589325,1784531196,1784531202,6,echo "RESULT: 1235431",0,,runnervm3jd5f,4_0,COMPLETED,BOTORCH_MODULAR,1235431,123,5431

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.075 │    1 │        0.075 │
│       2 │   0.043 │    1 │        0.043 │
│       3 │   0.038 │    1 │        0.038 │
│       4 │   0.037 │    1 │        0.037 │
│       5 │   0.037 │    1 │        0.037 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.046 │      │              │
│  Median │   0.038 │      │              │
│   Total │   0.230 │      │              │
│     Max │   0.075 │      │              │
│     Min │   0.037 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.015 │    1 │        0.015 │
│         2 │   0.032 │    1 │        0.032 │
│         3 │   0.361 │    1 │        0.361 │
│         4 │   0.421 │    1 │        0.421 │
│         5 │   0.398 │    1 │        0.398 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.245 │      │              │
│    Median │   0.361 │      │              │
│     Total │   1.226 │      │              │
│       Max │   0.421 │      │              │
│       Min │   0.015 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
config_yaml	None
config_toml	None
config_json	None
num_random_steps	2
max_eval	5
run_program	[['ZWNobyAiUkVTVUxUOiAlKHgpJSh5KSI=']]
experiment_name	pip_test_experiment
mem_gb	1
parameter	[['x', 'range', '123', '1000', 'int', 'false'], ['y', 'range', '5431', '1234', 'float', 'false']]
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	50
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	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
disable_notifications	False
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	5
worker_timeout	60
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	1
dependency	None
run_mode	local
verbose	True
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	False
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
1784531153,901.72265625,29.4

`RESULT` (goal: minimize)

Best value: 1231234
Achieved at:
- x = 123 (r=1, strong positive correlation)
- y = 1234 (r=0.161, weak positive correlation)
- run_time = 6 (r=0, weak negative correlation)

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.

Convergence Analysis

Parameter statistics

Parameter	Min	Max	Mean	Std Dev	Count
run_time	6	6	6	0	5
RESULT	1231234	5934888.7474	3176911.9423	1932887.1827	5
x	123	593	317.4	193.259	5
y	1234	5431	2911.9423	1853.8577	5

submitit INFO (2026-07-20 07:05:55,845) - Starting with JobEnvironment(job_id=24311, hostname=runnervm3jd5f, local_rank=0(1), node=0(1), global_rank=0(1))
submitit INFO (2026-07-20 07:05:55,845) - Loading pickle: /home/runner/work/OmniOpt/OmniOpt/runs/pip_test_experiment/1/single_runs/24311/24311_submitted.pkl
Trial-Index: 0

Parameters: {"x": 593, "y": 4888.747426688671}
Debug-Infos: 
echo "RESULT: 5934888.74742668867111206055"
stdout:
 RESULT: 5934888.74742668867111206055

stderr was empty
Result: {'RESULT': 5934888.747426689}
Final-results: {'RESULT': 5934888.747426689}
EXIT_CODE: 0
submitit INFO (2026-07-20 07:06:03,058) - Job completed successfully
submitit INFO (2026-07-20 07:06:03,058) - Exiting after successful completion