dora.active_sampling.Delaunay

class dora.active_sampling.Delaunay(lower, upper, explore_priority=0.0001)

Delaunay Class

Inherits from the Sampler class and augments pick and update with the mechanics of the Delanauy triangulation method

triangulation

scipy.spatial.qhull.Delaunay -- The Delaunay triangulation model object

simplex_cache

dict -- Cached values of simplices for Delaunay triangulation

explore_priority

float -- The priority of exploration against exploitation

See also

Sampler

Base Class

__init__(lower, upper, explore_priority=0.0001)

Initialises the Delaunay class

Note

Currently only supports rectangular type restrictions on the

parameter space

Parameters:

• lower (array_like) -- Lower or minimum bounds for the parameter space
• upper (array_like) -- Upper or maximum bounds for the parameter space
• explore_priority (float, optional) -- The priority of exploration against exploitation

Methods

__init__(lower, upper[, explore_priority])	Initialises the Delaunay class
pick()	Picks the next location in parameter space for the next observation
update(uid, y_true)	Updates a job with its observed value