Predict exact value by using Pre trained GPR Model(gaussian process regression)

3 次查看（过去 30 天）
JaeWook Lee
JaeWook Lee 2022-7-25
回答： Ayush Anand 2023-9-11
i have 4 input data(a,b,c,d) and 1 output data.
%% MGPR(Multivariate Gaussian process regression) by using metamodel %%
clc; clear all; close all; warning off;
tbl = readtable('D-optimal.txt','Filetype','text',...
'ReadVariableNames',false);
tbl.Properties.VariableNames = {'Hole_horizon','Hole_vertical','Height','Depth','Deflection'};
tbl(1:20,:) %Data
gprMdl1 = fitrgp(tbl,'Deflection','KernelFunction','ardsquaredexponential',...
'FitMethod','sr','PredictMethod','fic','Standardize',1)
gprMdl2 = fitrgp(tbl1,'Deflection','KernelFunction','ardsquaredexponential',...
'FitMethod','sr','PredictMethod','fic','Standardize',1)
i wanna predict the exact value of deflection(Output).
is there any way to predict the output value about random input value?

请先登录，再回答此问题。

回答（1 个）

Ayush Anand
Ayush Anand 2023-9-11
Hi JaeWook,
I understand you have trained a Gaussian process model on some data and want to know how to use it to predict the values for certain input data you have. You can do this using the "predict" function, with the following syntax:
ypred=predict(gprMdl1,xtest) %where xtest is your test input data
You can refer to the following example which demonstrates how to train a Gaussian process regression model and then use it to predict values at certain inputs:
https://in.mathworks.com/help/stats/predict-battery-soc-using-machine-learning.html
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

Community Treasure Hunt

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

Start Hunting!

Translated by