Blurb::
Select the models that write evaluation data to HDF5
Description::
By default, when HDF5 output is enabled, Dakota writes evaluation
data only for the model that belongs to the top-level method. This
keyword group is used to override the default.

HDF5 output is an experimental feature, and the contents and organization of
the output file is subject to change. The current organization and a
brief explanation of HDF5 is provided in the :ref:`hdf5_output<hdf5_output>` section
of this manual.

The example below will be used to explain the effect of each keyword.
Topics::
dakota_output
Examples::

.. code-block::

    environment
      results_output
          hdf5
           # model_selection
           #  top_method
           #  all_methods
           #  all
           #  none
          results_output_file 'my_results'  # The .h5 extension will be added
    
       method_pointer 'opt'
    
    method
      id_method 'opt'
        optpp_q_newton
      model_pointer 'surr'
    
    model
      id_model 'surr'
      surrogate global gaussian_process surfpack
      dace_method_pointer 'training'
    
    method
      id_method 'training'
      sampling
        seed 1234
        samples 20
      model_pointer 'truth_m'
    
    model
      id_model 'truth_m'
      simulation
    
    interface
      id_interface 'truth'
      direct
        analysis_drivers 'text_book'
    
    variables
      continuous_design 2
        descriptors 'x1' 'x2'
        lower_bounds -2.0 -2.0
        upper_bounds  2.0  2.0
    
    responses
      objective_functions 2
        descriptors 'f1' 'f2'
      analytic_gradients
      no_hessians
    


Theory::

Faq::

See_Also::
