gemseo.mlearning.regression.algos.thin_plate_spline_settings module#

Settings of the thin plate spline (TPS) regressor.

Settings TPSRegressor_Settings(*, transformer=None, parameters=None, input_names=(), output_names=(), function=Function.THIN_PLATE, der_function=None, epsilon=None, smooth=0.0, norm='euclidean')[source]#

Bases: RBFRegressor_Settings

The settings of the thin plate spline (TPS) regressor.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Parameters:
  • transformer (Mapping[str, Any])

  • parameters (Mapping[str, Any])

  • input_names (Sequence[str]) --

    By default it is set to ().

  • output_names (Sequence[str]) --

    By default it is set to ().

  • function (Literal[Function.THIN_PLATE]) --

    By default it is set to "thin_plate".

  • der_function (Annotated[Callable[[_NDArrayPydantic[Any, dtype[_ScalarType_co]]], _NDArrayPydantic[Any, dtype[_ScalarType_co]]], WithJsonSchema(json_schema={}, mode=None)] | None)

  • epsilon (float | None)

  • smooth (float) --

    By default it is set to 0.0.

  • norm (str | Annotated[Callable[[_NDArrayPydantic[Any, dtype[_ScalarType_co]], _NDArrayPydantic[Any, dtype[_ScalarType_co]]], float], WithJsonSchema(json_schema={}, mode=None)]) --

    By default it is set to "euclidean".

Return type:

None

function: Literal[Function.THIN_PLATE] = Function.THIN_PLATE#

The thin plate radial basis function for \(r^2\log(r)\).