Can the predicted function (equation) created by the regression learner toolbox be output?
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I have created a trained model GPR (RegressionGP,matern52) and have tested it using the predictFcn. Is there any way I can look at the final equation and associated parameters so that it can be incorporated into c++ code? Or do I have to find a similar c++ library or python machine learning library and try to duplicate my results (using a similar Gaussian Process Model)?
2 commentaires
Sadaf Batool
le 19 Déc 2020
Modifié(e) : Sadaf Batool
le 19 Déc 2020
Hey @Scott,
Were you able to get the equation from the trained model?
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Carl
le 24 Juil 2017
You can extract the final parameters and equation from the GPR model's properties. See the following page:
You can obtain the values of beta, sigma, the hyperparameters, and other properties. Let me know if this doesn't provide what you are specifically looking for.
4 commentaires
YiHao Zhu
le 6 Fév 2018
After I use regression learner and export the model to the workspace, I can use it to train my new data in matlab. But when I try to use matlab coder to develop c++ code, it fail. Really need a video to show me how to do it.
YiHao Zhu
le 6 Fév 2018
I want to use matlab coder to let my machine learning model in workspace to a function with c++ code.
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