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 + inserted jobs: 4)

OO_Info_int_pa…	OO_Info_int_pa…	OO_Info_float_…	OO_Info_choic…	int_param	float_param	choice_param	int_param_two	RESULT
nan	nan	nan	nan	-94	-86.6410486304…	1	-94	-279528.93794…

Job Summary per Generation Node

Generation Node	Total	COMPLETED
SOBOL	2	2
BOTORCH_MODULAR	4	4

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	6	0	6

Result names and types

name	min/max
RESULT	min

Git-Version

Commit: 3070a0af91b86253e27718d9d0a5f3ccd539b2e1 (9768-23-g3070a0af9)

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,choice_param,int_param_two
0,,,,,,,,,,,,,,,0_0,COMPLETED,SOBOL,-67727.031484990802709944546222686768,-11,-57.67097532749176025390625,1,-46
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-109783.074814233899815008044242858887,-94,7.633530220709546121327093715081,16,-27
2,,,,,,,,,,,,,,,2_0,COMPLETED,SOBOL,-15765.016072532200269051827490329742,-17,-20.51567375659942626953125,hallo,-15
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-279528.937940911622717976570129394531,-94,-86.641048630464524649141822010279,1,-94
4,1786641580,2,ea6aea73-5562-4d01-89d4-48c8f6f8cf25,1786641582,1786641588,6,./.tests/optimization_example.py --int_param='-100' --float_param='-38.68621205170834542741' --choice_param='1'  --int_param_two='-100' --nr_results=1,0,,runnervmzvulz,-100,-100,-38.686212051708345427414315054193,1,4_0,COMPLETED,BOTORCH_MODULAR,-239060.171234268287662416696548461914,-100,-38.686212051708345427414315054193,1,-100
5,1786641595,1,ea6aea73-5562-4d01-89d4-48c8f6f8cf25,1786641596,1786641602,6,./.tests/optimization_example.py --int_param='-100' --float_param='-100' --choice_param='1'  --int_param_two='-50' --nr_results=1,0,,runnervmzvulz,-100,-50,-100,1,5_0,COMPLETED,BOTORCH_MODULAR,-250765.319999999977881088852882385254,-100,-100,1,-50

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.126 │    1 │        0.126 │
│       2 │   0.055 │    1 │        0.055 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.091 │      │              │
│  Median │   0.091 │      │              │
│   Total │   0.182 │      │              │
│     Max │   0.126 │      │              │
│     Min │   0.055 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   2.178 │    1 │        2.178 │
│         2 │   3.677 │    1 │        3.677 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   2.928 │      │              │
│    Median │   2.928 │      │              │
│     Total │   5.856 │      │              │
│       Max │   3.677 │      │              │
│       Min │   2.178 │      │              │
└───────────┴─────────┴──────┴──────────────┘

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	['/home/runner/work/OmniOpt/OmniOpt/runs/adding_old_jobs_to_new_jobs/0',
	'/home/runner/work/OmniOpt/OmniOpt/runs/adding_old_jobs_to_new_jobs/1']
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
1786641576,899.09765625,28.8

`RESULT` (goal: minimize)

Best value: -279528.93794091
Achieved at:
- int_param = -94 (r=0.839, strong positive correlation)
- int_param_two = -94 (r=0.825, strong positive correlation)
- float_param = -86.641048630465 (r=0.648, moderate positive 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	2
OO_Info_int_param	-100	-100	-100	0	2
OO_Info_int_param_two	-100	-50	-75	25	2
OO_Info_float_param	-100	-38.6862	-69.3431	30.6569	2
OO_Info_choice_param	1	1	1	0	2
RESULT	-279528.9379	-15765.0161	-160438.2586	100510.8945	6
int_param	-100	-11	-69.3333	39.2414	6
float_param	-100	7.6335	-49.3134	37.008	6
choice_param	No numerical statistics available
int_param_two	-100	-15	-55.3333	31.7158	6