Gaussian process regression Beta values

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This is how I use my fitgrp to train my data...
regressionGP_trial = fitrgp(predictors,response, 'BasisFunction', 'pureQuadratic', 'KernelFunction','exponential', 'FitMethod','sd', 'HyperparameterOptimizationOptions',struct('UseParallel','true'), 'Standardize', true);
After executing my Beta values are as follows: 0.250263965622353, 0.0563818610636318, 0.0558561922570860, -0.0177372372437889, -0.0532134171662675, 0.0133177038469632, -0.000772965282431688
What are these Beta values before executing the above function and how is it calculated?
Please advice

Accepted Answer

Gautam Pendse
Gautam Pendse on 20 May 2019
Hi Sareena,
The initial value for 'Beta' is a vector of all zeros. You can specify an initial value using the 'Beta' name/value pair:
Hope this helps,
Gautam

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