Dakota Reference Manual: build_samples

| Dakota Reference Manual Version 6.15 Explore and Predict with Confidence

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build_samples

Number of initial model evaluations used in build phase

## Specification

Alias: samples

Argument(s): 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