Can the predicted function (equation) created by the regression learner toolbox be output?

2017 7 21
1 个回答
更新时间：2020 12 21
11 次查看（30 天）

0 个投票

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 个评论
显示 无 隐藏 无

Sadaf Batool
Sadaf Batool 2020-12-19
编辑：Sadaf Batool 2020-12-19
Hey @Scott,
Were you able to get the equation from the trained model?
Scott
Scott 2020-12-21
No. As Carl states below, I was able to get the final Hyperparameters, but not the equation(s). To incorporate into C++ code I duplicated the analysis in Python using scikit-learn using the aforementioned Hyperparameters and similar GPR model. It is very easy deploy and integrate Python machine learning models using "pickle" file and "SimpleXMLRPCServer" function. The matlab "coder" is another expensive Matlab add on that looked difficult to deploy with C++ code. My solution took a day or so. Scott.

请先登录，再进行评论。

请先登录，再回答此问题。

回答（1 个）

Carl
Carl 2017-7-24

0 个投票

You can extract the final parameters and equation from the GPR model's properties. See the following page:
http://www.mathworks.com/help/stats/regressiongp-class.html#but9y68-4
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 个评论
显示 2更早的评论 隐藏 2更早的评论

Scott
Scott 2017-7-26
Hi, Thank you for responding to my question. I can see some of the hyperparameters in the struct "RegressionGP.KernelInformation.KernelParameters." I still cannot find the actual formula that uses these parameters for calculating new predictions.
Carl
Carl 2017-7-26
Thanks for the follow up. In this case, my recommendation would be to upgrade to MATLAB R2017b and use MATLAB Coder. The predict method of RegressionGP will be fully supported for code generation with MATLAB Coder in R2017b. This will let you directly generate C++ code, without having to manually rewrite the function.
R2017b has not yet been released, but follow the link here for instructions on getting the R2017b prerelease: https://www.mathworks.com/matlabcentral/answers/101155-how-do-i-obtain-a-prerelease-for-a-new-matlab-version
Please keep in mind that the prerelease versions of MATLAB are only available to users with valid SMS (software maintenance service).
YiHao Zhu
YiHao Zhu 2018-2-6
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
YiHao Zhu 2018-2-6
I want to use matlab coder to let my machine learning model in workspace to a function with c++ code.

请先登录，再进行评论。

类别

在 帮助中心 和 File Exchange 中查找有关 Discriminant Analysis 的更多信息

产品

标签

提问:

Scott
Scott
2017-7-21

评论：

Scott
Scott
2020-12-21

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by