trieste.acquisition.multi_objective.dominance

This module contains functionality for computing the non-dominated set given a set of data points.

Module Contents

non_dominated(observations: trieste.types.TensorType) → tuple[trieste.types.TensorType, trieste.types.TensorType]

Computes the non-dominated set for a set of data points. Based on: https://stackoverflow.com/questions/32791911/fast-calculation-of-pareto-front-in-python

If there are duplicate point(s) in the non-dominated set, this function will return as it is without removing the duplicate.

Parameters

observations – set of points with shape [N,D]

Returns

tf.Tensor of the non-dominated set [P,D] and a non-dominated point mask [N], P is the number of points in pareto front, the mask specifies whether each data point is non-dominated or not.