interface_selection
Select the models that write evaluation data to HDF5
Topics
dakota_output
Specification
Alias: None
Arguments: None
Child Keywords:
Required/Optional |
Description of Group |
Dakota Keyword |
Dakota Keyword Description |
---|---|---|---|
Required (Choose One) |
Interface Evaluation Storage Selection |
Write evaluation data for no interfaces to HDF5 |
|
Write evaluation data only for simulation interfaces to HDF5 |
|||
Write evaluation data for all interfaces to HDF5 |
Description
By default, when HDF5 output is enabled, Dakota writes evaluation data for all simulation interfaces (interfaces of type fork, system, direct, etc, but not approximation interfaces, which are constructed by models of type surrogate). 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 hdf5_output section of this manual.
The example below will be used to explain the effect of each keyword.
Examples
environment
results_output
hdf5
# interface_selection
# simulation
# 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