gemseo.mlearning.regression.algos.thin_plate_spline module#

Thin plate spline (TPS) regression.

class TPSRegressor(data, settings_model=None, **settings)[source]#

Bases: RBFRegressor

Thin plate spline (TPS) regression.

Parameters:

  • data (Dataset) -- The training dataset.

  • settings_model (BaseMLAlgoSettings | None) -- The machine learning algorithm settings as a Pydantic model. If None, use **settings.

  • **settings (Any) -- The machine learning algorithm settings. These arguments are ignored when settings_model is not None.

Raises:

ValueError -- When both the variable and the group it belongs to have a transformer.

Settings#

alias of TPSRegressor_Settings

SHORT_ALGO_NAME: ClassVar[str] = 'TPS'#

The short name of the machine learning algorithm, often an acronym.

Typically used for composite names, e.g. f"{algo.SHORT_ALGO_NAME}_{dataset.name}" or f"{algo.SHORT_ALGO_NAME}_{discipline.name}".