Gaussian Process Regression using Scikit-learn (Python)
[ad_1]
You can learn Gaussian process regression here: https://www.udemy.com/course/gaussian-process-regression-fundamentals-and-application/?referralCode=C45B191C7D9EF8FCDCC1
Source
[ad_2]
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.
Do you have a link to your used dataset (the .csv file)?
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.
Quite helpful, thanks!
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!
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??