.. _OutcomeConstraint:


Outcome constraint
------------------


The objective is to constrain the value of a variable within a one-sided or two-sided interval. The sampling strategy tries to  maximize the probability that sampled values meet the constraint. This can however not be guaranteed.

.. _ActiveLearning.Constrainer.name:


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

   Default: ``'objective'``

.. _ActiveLearning.Constrainer.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.Constrainer.lower_bound:


lower_bound (float)
"""""""""""""""""""
   The values of the objective should be larger of equal to the specified lower bound. 

   Default: Unconstrained from below.

.. _ActiveLearning.Constrainer.upper_bound:


upper_bound (float)
"""""""""""""""""""
   The values of the objective should be smaller of equal to the specified upper bound. 

   Default: Unconstrained from above.