Finding p-value of coefficients of a trained model

I've trained a model using the "Regression Learner" app (GPR with Matern5/2 kernel), and I exported the model using the "Export Model" option. How do I obtain the coefficients and their corresponding p-values from the model? To re-learn the model it would take about 24 hours.

Answer 1

[Ahmet Cecen]

Just load the model then explore using dot notation:

M.RegressionGP

RegressionGP
         PredictorNames: {'column_1'}
           ResponseName: 'Y'
  CategoricalPredictors: []
      ResponseTransform: 'none'
        NumObservations: 10
         KernelFunction: 'Matern52'
      KernelInformation: [1×1 struct]
          BasisFunction: 'Constant'
                   Beta: 0.4994
                  Sigma: 0.2928
      PredictorLocation: 0.4946
         PredictorScale: 0.2321
                  Alpha: [10×1 double]
       ActiveSetVectors: [10×1 double]
          PredictMethod: 'Exact'
          ActiveSetSize: 10
              FitMethod: 'Exact'
        ActiveSetMethod: 'Random'
      IsActiveSetVector: [10×1 logical]
          LogLikelihood: -1.9069
       ActiveSetHistory: []
         BCDInformation: []

[Ahmet Cecen]

Also here is an explanation of what each field is: Reference

[Muhammad Fazalul Rahman]

But is there a way to get the p-values of the regression coefficients?