build_samples
Number of initial model evaluations used in build phase
Specification
Alias: None
Arguments: INTEGER
Description
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.
Examples
Perform GP-based 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