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test_pf
2011 Jan 21
1
help! complete the reviewer's suggest: carry out GA+GP (gaussian process)!
...ind,1)), '-g
',num2str(cgp(nind,2)),' -p ',num2str(cgp(nind,3)),' -s 3'];
model = svmtrain(train_y,train_data_best,cmd);
train_pred = svmpredict(train_y,train_data_best,model); % get the predicted
values for the training set
I can get the train_pred, likewise I can get the test_pred (tes_pred =
svmpredict(test_y,test_data_best,model);)
If I have the obsved train_y,test_y and the predicted train_pred and
test_pred, some statistical parameter can be calculated.
But For GP, how can i get the predicted values?
(from GP website: http://www.gaussianprocess.org/gpml/code/matla...
2011 Jan 22
0
how to call BayesX in R to see the graph
...ind,1)), '-g
',num2str(cgp(nind,2)),' -p ',num2str(cgp(nind,3)),' -s 3'];
model = svmtrain(train_y,train_data_best,cmd);
train_pred = svmpredict(train_y,train_data_best,model); % get the predicted
values for the training set
I can get the train_pred, likewise I can get the test_pred (tes_pred =
svmpredict(test_y,test_data_best,model);)
If I have the obsved train_y,test_y and the predicted train_pred and
test_pred, some statistical parameter can be calculated.
But For GP, how can i get the predicted values?
(from GP website: http://www.gaussianprocess.org/gpml/code/matlab...