TunableTransformer

class lightautoml.transformers.text.TunableTransformer(default_params=None, freeze_defaults=True)[source]

Bases: lightautoml.transformers.base.LAMLTransformer

Base class for ML transformers.

Assume that parameters my set before training.

property params

Parameters.

Return type

dict

Returns

Dict.

init_params_on_input(dataset)[source]

Init params depending on input data.

Return type

dict

Returns

Dict with model hyperparameters.

__init__(default_params=None, freeze_defaults=True)[source]
Parameters

  • default_params (Optional[dict]) – algo hyperparams.

  • freeze_defaults (bool) –

    • True : params may be rewritten depending on dataset.

    • False: params may be changed only manually or with tuning.