OmniOpt2

Experiment overview

Setting	Value
Max. nr. evaluations	2
Number random steps	2
Number random steps (from arguments)	20
Nr. of workers (parameter)	20

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
-69	-85	-59.7068440914…	2	-69	-59.7068440914…	-85	2	-177145.87672…

Job Summary per Generation Node

Generation Node	Total	COMPLETED
SOBOL	2	2

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: 9f20e59adbe58632700c6e4a834fa61fe8c3873f (9768-9-g9f20e59ad)

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
0,1786638455,2,1a64d052-729d-43d6-907a-d35b62ed6917,1786638457,1786638463,6,./.tests/optimization_example.py --int_param='-69' --float_param='-59.70684409141540527344' --choice_param='2' --int_param_two='-85',0,,runnervmzvulz,-69,-85,-59.7068440914154052734375,2,0_0,COMPLETED,SOBOL,-177145.876722707413136959075927734375,-69,-59.7068440914154052734375,-85,2
1,1786638465,2,1a64d052-729d-43d6-907a-d35b62ed6917,1786638467,1786638473,6,./.tests/optimization_example.py --int_param='-32' --float_param='-15.3297656867653131485' --choice_param='8' --int_param_two='-44',0,,runnervmzvulz,-32,-44,-15.329765686765311372141695756,8,1_0,COMPLETED,SOBOL,-41782.713728787799482233822345733643,-32,-15.32976568676531314849853515625,-44,8

         Job submission durations          
┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃   Batch ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│       1 │   0.111 │    1 │        0.111 │
│       2 │   0.055 │    1 │        0.055 │
├─────────┼─────────┼──────┼──────────────┤
│ Average │   0.083 │      │              │
│  Median │   0.083 │      │              │
│   Total │   0.167 │      │              │
│     Max │   0.111 │      │              │
│     Min │   0.055 │      │              │
└─────────┴─────────┴──────┴──────────────┘

           Model generation times            
┏━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━┓
┃ Iteration ┃ Seconds ┃ Jobs ┃ Time per job ┃
┡━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━┩
│         1 │   0.024 │    1 │        0.024 │
│         2 │   0.051 │    1 │        0.051 │
├───────────┼─────────┼──────┼──────────────┤
│   Average │   0.037 │      │              │
│    Median │   0.037 │      │              │
│     Total │   0.075 │      │              │
│       Max │   0.051 │      │              │
│       Min │   0.024 │      │              │
└───────────┴─────────┴──────┴──────────────┘

Arguments Overview

Key	Value
install	False
config_yaml	None
config_toml	None
config_json	/home/runner/work/OmniOpt/OmniOpt/.tests/example_config_cpu.json
num_random_steps	20
max_eval	2
run_program	./.tests/optimization_example.py --int_param='%(int_param)' --float_param='%(float_param)'
	--choice_param='%(choice_param)' --int_param_two='%(int_param_two)'
experiment_name	__main__tests__
mem_gb	4
parameter	[{'param': ['int_param', 'range', '-100', '10', 'int']}, {'param': ['float_param', 'range', '-100',
	'10', 'float']}, {'param': ['choice_param', 'choice', '1,2,4,8,16,hallo']},
	{'auto_exclude_defective_hosts': True, 'model': 'BOTORCH_MODULAR', 'num_random_steps': 1, 'param':
	['int_param_two', 'range', -100, 10, 'int']}]
continue_previous_job	None
experiment_constraints	None
run_dir	runs
seed	None
verbose_tqdm	False
model	None
gridsearch	False
occ	False
show_sixel_scatter	False
show_sixel_general	False
show_sixel_trial_index_result	False
follow	True
send_anonymized_usage_stats	False
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	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	20
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	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
1786638454,899.26953125,28.5

! 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	-69	-32	-50.5	18.5	2
OO_Info_int_param_two	-85	-44	-64.5	20.5	2
OO_Info_float_param	-59.7068	-15.3298	-37.5183	22.1885	2
OO_Info_choice_param	2	8	5	3	2
RESULT	-177145.8767	-41782.7137	-109464.2952	67681.5815	2
int_param	-69	-32	-50.5	18.5	2
float_param	-59.7068	-15.3298	-37.5183	22.1885	2
int_param_two	-85	-44	-64.5	20.5	2
choice_param	2	8	5	3	2