Dakota Reference Manual
Version 6.4
LargeScale Engineering Optimization and Uncertainty Analysis

Number of initial model evaluations used in build phase
Alias: samples
Argument(s): INTEGER
The number of build points or training points used in the initial phase of an algorithm or model construction. Typically these are the initial set of data points used to construct (train) a surrogate model (emulator). If the number of build_samples
is less than the minimum number of points required to build the surrogate, Dakota will augment the samples to obtain the minimum required.
Perform GPbased adaptive importance sampling, building the GP with 100 points and then performing 100 approxmiate evaluations to evaluate the probability.
method gpais build_samples = 100 samples_on_emulator = 100 max_iterations = 5 response_levels = 1.065