.. _MultiSelectorVariable:


Multi-selector variable
-----------------------


 

This variable selects multiple outputs of a surrogate model or a multi-output variable.

.. _ActiveLearning.MultiSelector.name:


name (str)
""""""""""
   The name of the variable under which it can be addressed by other variables or objectives. The name must be distinct from any surrogate name. 

   Default: ``'v'``

.. _ActiveLearning.MultiSelector.output_dim:


output_dim (int)
""""""""""""""""
   Output dimension of variable. 

   Default: This value has no default and must be provided

.. _ActiveLearning.MultiSelector.output_names:


output_names (list[str])
""""""""""""""""""""""""
   Allows to assign names to each of the  outputs of the variable. By specifying input names  they can be accessed in variables as  ``{output_names[0]}, {output_names[1]}, ..., {output_names[K-1]}``,  where ``K`` is the output dimension. 

   Default:  
   
   By default, the variables can be accessed as  ``{name}0, {name}1, ...,{name}(K-1)``, where ``{name}``  is the name of the variable and ``K`` is the output  dimension.

.. _ActiveLearning.MultiSelector.input:


input (str)
"""""""""""
   The name of a surrogate or a multi-output variable. 

   Default: This value has no default and must be provided

.. _ActiveLearning.MultiSelector.select_range:


select_range (list[int])
""""""""""""""""""""""""
   A tuple of lower and upper bounds  :math:`(i_\text{lower}, i_\text{upper})` of the inputs of the surrogate model or the outputs of the multi-output variable. The indexing starts from zero and the last index is included in the selection. 

   Default: If not specified, the selections is based on the `select_by_names` parameter.

.. _ActiveLearning.MultiSelector.select_by_names:


select_by_names (list[str])
"""""""""""""""""""""""""""
   A selection of input names of the surrogate  or output names of the multi-output variable. 

   Default: ``[]``