Displaying 4 results from an estimated 4 matches for "svmpredict".
2011 Feb 02
2
SVM Prediction and Plot
...olumn of BankTest.
> SvmPred = predict(Svm, BankTest[,-1], probability=TRUE)
> SvmPredRes = table(Pred = SvmPred, True = BankTest[,1])
I get this error:
Error in table(Pred = SvmPred, True = BankTest) : all arguments must have
the same length
I checked the length of both BankTest[,1] and SvmPredict.
> length(SvmPred)
[1] 2282
> length(BankTest[,1])
[1] 2598
How are these two columns not the same size? Surely the prediction should
try to predict all the values of BankTest[,1]?
Any help would be much appreciated.
--
View this message in context: http://r.789695.n4.nabble.com/SVM-Predic...
2017 Dec 07
1
Please to remove the warning when trying to check a package.
...9;
2) * checking files in 'vignettes' ... WARNING
Files in the 'vignettes' directory but no files in 'inst/doc':
'vignettes.Rmd', 'vignettes.pdf'
Notes:
1) * checking foreign function calls ... NOTE
Foreign function call to a different package:
.C("svmpredict", ..., PACKAGE = "e1071")
See chapter 'System and foreign language interfaces' in the 'Writing R
Extensions' manual.
2) * checking R code for possible problems ... NOTE
predict.packageXXX: no visible global function definition for 'as'
predict.packageXXX: no...
2011 Jan 21
1
help! complete the reviewer's suggest: carry out GA+GP (gaussian process)!
.../)
now I want to know, how to get the predicted values :
In libsvm for example:
cmd = ['-v ',num2str(v),' -c',num2str(cgp(nind,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 paramet...
2011 Jan 22
0
how to call BayesX in R to see the graph
...)
now I want to know, how to get the predicted values :
In libsvm for example:
cmd = ['-v ',num2str(v),' -c',num2str(cgp(nind,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 paramet...