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
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Gautam Pendse
2019년 5월 20일
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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