smac.intensifier.hyperband_utils¶
Functions¶
|
Determine one Hyperband round |
|
Determine how many Hyperband rounds should happen based on a total budget |
Caculate the number of trials needed for multi-fidelity optimization |
|
|
Print summary about Hyperband as used in the MultiFidelityFacade |
Interfaces¶
- smac.intensifier.hyperband_utils.determine_HB(min_budget, max_budget, eta=3)[source]¶
Determine one Hyperband round
- Parameters:
min_budget (float) – Minimum budget per trial in fidelity units
max_budget (float) – Maximum budget per trial in fidelity units
eta (int, defaults to 3) – Input that controls the proportion of configurations discarded in each round of Successive Halving.
- Returns:
- Info about the Hyperband round
”max_iterations” “n_configs_in_stage” “budgets_in_stage” “trials_used” “budget_used” “number_of_brackets”
- Return type:
dict
- smac.intensifier.hyperband_utils.determine_hyperband_for_multifidelity(total_budget, min_budget, max_budget, eta=3)[source]¶
Determine how many Hyperband rounds should happen based on a total budget
- Parameters:
total_budget (float) – Total budget for the complete optimization in fidelity units
min_budget (float) – Minimum budget per trial in fidelity units
max_budget (float) – Maximum budget per trial in fidelity units
eta (int, defaults to 3) – Input that controls the proportion of configurations discarded in each round of Successive Halving.
- Returns:
- Info about the Hyperband round
”max_iterations” “n_configs_in_stage” “budgets_in_stage” “trials_used” “budget_used” “number_of_brackets”
- Return type:
dict
- smac.intensifier.hyperband_utils.get_n_trials_for_hyperband_multifidelity(total_budget, min_budget, max_budget, eta=3, print_summary=True)[source]¶
Caculate the number of trials needed for multi-fidelity optimization
Specify the total budget and find out how many trials that equals.
- Parameters:
total_budget (float) – Total budget for the complete optimization in fidelity units
min_budget (float) – Minimum budget per trial in fidelity units
max_budget (float) – Maximum budget per trial in fidelity units
eta (int, defaults to 3) – Input that controls the proportion of configurations discarded in each round of Successive Halving.
- Returns:
Number of trials needed for the specified total budgets
- Return type:
int