How to set the mean function's form of Gaussian Process using sklearn module in Python?












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I want to compare the difference of prediction error between linear mean process and the polynomial mean function using the sklearn.gaussian_process.GaussianProcessRegressor. However, only the parameter normalize_y is related of the mean process. So, my question is how to set the form of the mean function using "sklearn" module?










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    $begingroup$


    I want to compare the difference of prediction error between linear mean process and the polynomial mean function using the sklearn.gaussian_process.GaussianProcessRegressor. However, only the parameter normalize_y is related of the mean process. So, my question is how to set the form of the mean function using "sklearn" module?










    share|improve this question







    New contributor




    user66153 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$















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      0








      0





      $begingroup$


      I want to compare the difference of prediction error between linear mean process and the polynomial mean function using the sklearn.gaussian_process.GaussianProcessRegressor. However, only the parameter normalize_y is related of the mean process. So, my question is how to set the form of the mean function using "sklearn" module?










      share|improve this question







      New contributor




      user66153 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      I want to compare the difference of prediction error between linear mean process and the polynomial mean function using the sklearn.gaussian_process.GaussianProcessRegressor. However, only the parameter normalize_y is related of the mean process. So, my question is how to set the form of the mean function using "sklearn" module?







      python scikit-learn gaussian






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      user66153 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      user66153 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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