mbcmodel.gpmparameters

Properties for model gpmparameters objects

Description

Use these properties to create and examine model gpmparameters objects.

Creation

Syntax

ModelGPMParamObj = ModelObj.Parameters

Description

ModelGPMParamObj = ModelObj.Parameters creates an mbcmodel.gpmparameters object for Gaussian process mbcmodel.model object ModelObj.

Properties

NumParameters — Number of model parameters

scalar

This property is read-only.

Number of model parameters, specified as a scalar.

Data Types: double

Sigma — Estimated noise standard deviation

scalar

This property is read-only.

Estimated noise standard deviation, specified as a scalar.

Data Types: double

KernelInformation — Kernel function parameter information

character vector

This property is read-only.

Kernel function parameter information, specified as a character vector.

Data Types: char | string

Alpha — Estimated weights

scalar

This property is read-only.

Estimated weights, specified as a scalar.

Data Types: double

Beta — Estimated coefficients for fixed parameters

scalar | 'None' | 'Constant' | 'Linear' | 'PureQuadratic'

This property is read-only.

Estimated coefficients for fixed parameters, based on BasisFunction property.

• 'None' – Beta is [].

• 'Constant' – Beta is a scalar.

• 'Linear' – Beta is a 2-by-1 vector.

• 'PureQuadratic' – Beta is a 3-by-1 vector.

Data Types: double

Version History

Introduced in R2006a