mlos_core.util

Internal helper functions for mlos_core package.

Functions

`config_to_dataframe`(→ pandas.DataFrame)	Converts a ConfigSpace config to a DataFrame.
`drop_nulls`(→ dict)	Remove all key-value pairs where the value is None.
`normalize_config`(→ ConfigSpace.Configuration)	Convert a dictionary to a valid ConfigSpace configuration.

Module Contents

mlos_core.util.config_to_dataframe(config: ConfigSpace.Configuration) → pandas.DataFrame[source]

Converts a ConfigSpace config to a DataFrame.

Parameters:: config (ConfigSpace.Configuration) – The config to convert.
Returns:: A DataFrame with a single row, containing the config’s parameters.
Return type:: pandas.DataFrame

mlos_core.util.drop_nulls(d: dict) → dict[source]

Remove all key-value pairs where the value is None.

Parameters:: d (dict) – The dictionary to clean.
Returns:: The cleaned dictionary.
Return type:: dict

mlos_core.util.normalize_config(config_space: ConfigSpace.ConfigurationSpace, config: ConfigSpace.Configuration | dict) → ConfigSpace.Configuration[source]

Convert a dictionary to a valid ConfigSpace configuration.

Some optimizers and adapters ignore ConfigSpace conditionals when proposing new configurations. We have to manually remove inactive hyperparameters such suggestions.

Parameters:

config_space (ConfigSpace.ConfigurationSpace) – The parameter space to use.
config (dict) – The configuration to convert.

Returns:

cs_config – A valid ConfigSpace configuration with inactive parameters removed.

Return type:

ConfigSpace.Configuration