`mlos_bench.storage.base_tunable_config_trial_group_data`.TunableConfigTrialGroupData¶

class mlos_bench.storage.base_tunable_config_trial_group_data.TunableConfigTrialGroupData(*, experiment_id: str, tunable_config_id: int, tunable_config_trial_group_id: int | None = None)¶

Base interface for accessing the stored experiment benchmark tunable config trial group data.

A (tunable) config is used to define an instance of values for a set of tunable parameters for a given experiment and can be used by one or more trial instances (e.g., for repeats), which we call a (tunable) config trial group.

Attributes:

experiment_id: ID of the experiment.
results_df: Retrieve all results for this (tunable) config trial group as a single DataFrame.
trials: Retrieve the trials’ data for this (tunable) config trial group from the storage.
tunable_config: Retrieve the (tunable) config data for this (tunable) config trial group from the storage.
tunable_config_id: ID of the config.
tunable_config_trial_group_id: The unique ID (within this experiment) of the (tunable) config trial group.

__init__(*, experiment_id: str, tunable_config_id: int, tunable_config_trial_group_id: int | None = None)¶

property experiment_id: str¶: ID of the experiment.

abstract property results_df: DataFrame¶

Retrieve all results for this (tunable) config trial group as a single DataFrame.

Returns:

resultspandas.DataFrame: A DataFrame with configurations and results from all trials of the experiment. Has columns [trial_id, config_id, ts_start, ts_end, status] followed by tunable config parameters (prefixed with “config.”) and trial results (prefixed with “result.”). The latter can be NULLs if the trial was not successful.

mlos_bench.storage.base_tunable_config_trial_group_data.TunableConfigTrialGroupData¶

`mlos_bench.storage.base_tunable_config_trial_group_data`.TunableConfigTrialGroupData¶