how can I save the verbose output from fitrgp?

6 次查看（过去 30 天）
Francisco
Francisco 2021-12-1
回答： Pratik 2024-2-15
I am running fitrgp with optimization options as following:
gprMd3 = fitrgp(x,y,'KernelFunction','squaredexponential',...
'OptimizeHyperparameters','auto','HyperparameterOptimizationOptions',...
struct('AcquisitionFunctionName','expected-improvement-plus'));
and I get the following table with two plots: one plot for the objective function model, and other plot for Min objective vs. Number of function evaluations
The table I get is:
|======================================================================================|
| Iter | Eval | Objective: | Objective | BestSoFar | BestSoFar | Sigma |
| | result | log(1+loss) | runtime | (observed) | (estim.) | |
|======================================================================================|
| 1 | Best | 0.0023244 | 83.433 | 0.0023244 | 0.0023244 | 0.00013322 |
| 2 | Accept | 0.009627 | 38.782 | 0.0023244 | 0.0027615 | 0.15882 |
| 3 | Accept | 0.0025183 | 56.103 | 0.0023244 | 0.004802 | 0.01944 |
| 4 | Accept | 0.0024726 | 79.114 | 0.0023244 | 0.0042355 | 0.0017215 |
| 5 | Accept | 0.0025118 | 76.332 | 0.0023244 | 0.0023272 | 0.00014478 |
I would like to save this numbers or access to them. So that I can reproduce the two plots above.
Is there a way to do it?
Thank you!

请先登录，再回答此问题。

回答（1 个）

Pratik
Pratik 2024-2-15
Hi Franisco,
From what I can understand, the verbose output from ‘fitgrp’ must be saved so that the plots can be reproduced.
In MATLAB, you can capture the verbose output of the ‘fitrgp’ function's hyperparameter optimization by setting the Verbose option to 1 or 2 in the ‘HyperparameterOptimizationOptions’ structure. Additionally, to save the detailed optimization information, you can set the ‘SaveIntermediateResults’ field to true. This will allow you to access the optimization history, including all the intermediate results.
Please refer to the table in the following documentation for more information:
www.mathworks.com/help/stats/fitrgp.html#butnn96_sep_shared-HyperparameterOptimizationOptions
I hope this helps!

类别

在 Help Center 和 File Exchange 中查找有关 Gaussian Process Regression 的更多信息

标签

产品


版本

R2021b

Community Treasure Hunt

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

Start Hunting!

Translated by