criterion_min module¶

Minimum distance between a point and the learning dataset.

class gemseo_mlearning.adaptive.criteria.distances.criterion_min.MinimumDistance(algo_distribution, **options)[source]

Bases: MLDataAcquisitionCriterion

Minimum distance to the learning dataset.

This infill criterion computes the minimum distance between a new point and the point of the learning dataset, scaled by the maximum distance between two learning points.

# noqa: D205 D212 D415

Parameters:

algo_distribution (MLRegressorDistribution) – The distribution of a machine learning algorithm.
**options (MLDataAcquisitionCriterionOptionType) – The acquisition criterion options.

algo_distribution: MLRegressorDistribution: The distribution of a machine learning algorithm assessor.

force_real: bool: Whether to cast the results to real value.

has_default_name: bool: Whether the name has been set with a default value.

last_eval: OutputType | None

The value of the function output at the last evaluation.

None if it has not yet been evaluated.

output_range: float: The output range.

special_repr: str: The string representation of the function overloading its default string ones.