gemseo_mlearning / regression

Show inherited members

mlp module

Interface to the OpenTURNS’ multilayer perceptron (MLP).

class gemseo_mlearning.regression.mlp.MLPRegressor(data, transformer=None, input_names=None, output_names=None, hidden_layer_sizes=(100,), **parameters)[source]

Bases: MLRegressionAlgo

MultiLayer perceptron (MLP).

# noqa: D205 D212 D415

Parameters:
  • data (Dataset) – The learning dataset.

  • transformer (Mapping[str, TransformerType] | None) – The strategies to transform the variables. The values are instances of Transformer while the keys are the names of either the variables or the groups of variables, e.g. "inputs" or "outputs" in the case of the regression algorithms. If a group is specified, the Transformer will be applied to all the variables of this group. If IDENTITY, do not transform the variables.

  • input_names (Iterable[str]) – The names of the input variables. If None, consider all the input variables of the learning dataset.

  • output_names (Iterable[str]) – The names of the output variables. If None, consider all the output variables of the learning dataset.

  • hidden_layer_sizes (tuple[int]) –

    The number of neurons per hidden layer.

    By default it is set to (100,).

  • **parameters (Any) – The parameters of the machine learning algorithm.

Raises:

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

LIBRARY: Final[str] = 'scikit-learn'

The name of the library of the wrapped machine learning algorithm.

SHORT_ALGO_NAME: ClassVar[str] = 'MLP'

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}".

algo: Any

The interfaced machine learning algorithm.

input_names: list[str]

The names of the input variables.

input_space_center: dict[str, ndarray]

The center of the input space.

learning_set: Dataset

The learning dataset.

output_names: list[str]

The names of the output variables.

parameters: dict[str, MLAlgoParameterType]

The parameters of the machine learning algorithm.

transformer: dict[str, Transformer]

The strategies to transform the variables, if any.

The values are instances of Transformer while the keys are the names of either the variables or the groups of variables, e.g. “inputs” or “outputs” in the case of the regression algorithms. If a group is specified, the Transformer will be applied to all the variables of this group.