Gaussian Process Regression using Scikit-learn (Python)




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You can learn Gaussian process regression here: https://www.udemy.com/course/gaussian-process-regression-fundamentals-and-application/?referralCode=C45B191C7D9EF8FCDCC1

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Comment List

  • JFL
    December 12, 2020

    Hi JFL,
    Can you explain to me that I can reuse the mean value and return_std value of gp.predict() for what next function and what are the applications of these value?
    Thank you.

  • JFL
    December 12, 2020

    Do you have a link to your used dataset (the .csv file)?

  • JFL
    December 12, 2020

    Can you explain the numeber '10739' in this line [x=np.atleast_2d(np.linspace(1,177,10739)).T] for me?
    Thank you very much.

  • JFL
    December 12, 2020

    Quite helpful, thanks!

  • JFL
    December 12, 2020

    Hello, this was a great tutorial and I really appreciate the help. I am wondering what np.random.seed(1) is used for within this code? Any explanation would be great! Thank you!

  • JFL
    December 12, 2020

    ‌Hi, thanks for your helpful tutorial
    How you defined the “X” in Line 32? Are you entered 177 number by your hand?
    If I have a 9000 data how I can defined it??

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