.. _MinimizationObjective:


Minimization objective
----------------------


The objective is to minimize a target variable.

.. _ActiveLearning.Minimizer.name:


name (str)
""""""""""
   The name of the objective. 

   Default: ``"objective"``

.. _ActiveLearning.Minimizer.variable:


variable (str)
""""""""""""""
   The name of a single-output variable  that specifies the objective value. 

   Default: The first  variable in the list of all variables.

.. _ActiveLearning.Minimizer.strategy:


strategy (str)
""""""""""""""
   Minimization strategy of the acquisition.  The choices are expected improvement (EI),  lower confidence bound (LCB), and probability of improvement (PoI). 

   Default: ``"EI"``
   Choices: ``"EI"``, ``"LCB"``, ``"PoI"``.

.. _ActiveLearning.Minimizer.localize:


localize (bool)
"""""""""""""""
   If true, a local search is performed, i.e.  samples are not drawn in regions with large uncertainty. 

   Default: ``false``

.. _ActiveLearning.Minimizer.min_val:


min_val (float)
"""""""""""""""
   The minimization of the objective is stopped when the observed objective value is below the specified minimum value. 

   Default: ``-inf``

.. _ActiveLearning.Minimizer.min_PoI:


min_PoI (float)
"""""""""""""""
   The study is stopped if the maximum probability of improvement (PoI) of the last 5 iterations is below ``min_PoI``. 

   Default: ``1e-16``

.. _ActiveLearning.Minimizer.min_uncertainty:


min_uncertainty (float)
"""""""""""""""""""""""
   The study is stopped if the uncertainty (square root of variance) of the objective at the last 5 sampling points was below ``min_uncertainty``. 

   Default: ``0.0``

.. _ActiveLearning.Minimizer.min_acq_val:


min_acq_val (float)
"""""""""""""""""""
   The study is stopped if the maximum acquisition value (usually expected improvement) of the last 5 iterations is below ``min_acq_val``. 

   Default: ``-inf``