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Dakota Reference Manual
Version 6.12
Explore and Predict with Confidence
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Enable GPMSA-internal normalization
Alias: none
Argument(s): none
Normalize variables and data (surrogate model build and experiment) when constructing the underlying Gaussian Process emulator. When specified, this option will normalize calibration parameters and configuration (scenario) variables based on the min/max of the build data. It will normalize simulation and experiment data by the mean and variance of the simulation build data.
Default Behavior No GPMSA-specific scaling used.
method bayes_calibration gpmsa chain_samples 1000 seed 2460 ... gpmsa_normalize