mlos_bench.storage.base_tunable_config_data

Base interface for accessing the stored benchmark (tunable) config data.

Note: a configuration in this context is the set of tunable parameter values and can be used by one or more trials.

Classes

TunableConfigData

Base interface for accessing the stored experiment benchmark (tunable) config data.

Module Contents

class mlos_bench.storage.base_tunable_config_data.TunableConfigData(*, tunable_config_id: int)[source]

Base interface for accessing the stored experiment benchmark (tunable) config data.

A configuration in this context is the set of tunable parameter values.

Parameters:

tunable_config_id (int)

__eq__(other: Any) → bool[source]
Parameters:

other (Any)

Return type:

bool

__repr__() → str[source]
Return type:

str

property config_df: pandas.DataFrame[source]
Abstractmethod:

Return type:

pandas.DataFrame

Retrieve the trials’ tunable configuration from the storage.

Note: this corresponds to the Trial object’s “tunables” property.

Returns:

config – A dataframe with the tunable configuration of the trial. It has two str columns, “parameter” and “value”.

Return type:

pandas.DataFrame

property config_dict: Dict[str, mlos_bench.tunables.tunable.TunableValue | None][source]

Retrieve the trials’ tunable configuration from the storage as a dict.

Note: this corresponds to the Trial object’s “tunables” property.

Returns:

config

Return type:

dict

property tunable_config_id: int[source]

Unique ID of the (tunable) configuration.

Return type:

int