[R] incremental learning for LOESS time series model
Hi All, I am currently working on some time series data, I know I can use LOESS/ARIMA model. The data is written to a vector whose length is 1000, which is a queue, updating every 15 minutes, Thus the old data will pop out while the new data push in the vector. I can rerun the whole model on a scheduler, e.g. retrain the model every 15 minutes, that is, Use the whole 1000 value to train The LOESS model, However it is very inefficient, as every time only one value is insert while another 999 vlaues still same as last time. So how can I achieve better performance? Many thanks Ying [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] an error about JRI
Hi everyone, I try to run my R script in Java, thus I installed JRI. and run the example, I am using Eclipse on 64 bits windows 7. part of the example code is as follows: public static void main(String[] args) { System.out.println("Creating Rengine (with arguments)"); Rengine re=new Rengine(args, false, null); System.out.println("Rengine created, waiting for R"); if (!re.waitForR()) { System.out.println("Cannot load R"); return; } However, everytime I run it. it teminated after print out "Creating Rengine (with arguments)" never successfully print out "Rengine created, waiting for R" I do not know what is right argument to input, I have tried to add "--no-save" under the Program arguments of eclipse run configuration, but still does not help. any suggestions? Many thanks Ying [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] rShowMessage "Fatal error: unable to open the base package
Hi All, As you may know I am trying connect R with java by RJava, now I run the examples, I got this error rShowMessage "Fatal error: unable to open the base package I am using 64bits windows 7 and eclipse. Any suggestions? Many thanks Ying [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] JRI & plot( )
Hi Everyone, Thanks a lot for your guys help, I finally got it running, now I can call my R function from my java code. But there is one problem left. In my R code , it open a window and plot a curve. Once running in Java, the window did successfully opened, but nothing inside, instead of grey color. Any suggestions? Many thanks Ying [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] how should I deal with features with variable based on time in Bayesian Network?
Hi All, I would like to apply Bayesian network on some data. However, some of the features are based on time. E.g. Number of time he/she visit library. As it can be Total number of this person visits, Average weekly number of visit, Daily number of visits, or even Number of visits in the last 3 days, there are all kinds different ways, of course I do not want to include all these in my network So how should I treat feature like this properly? Many thanks Ying [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] can I use the output of a neural network as the fitness function of genetic algorithm?
Hi Everyone, I need to use genetic algorithm to find the minimum. The problem is, I cannot define the fitness function, but I can build a neural network from the input data and use the output as a fitness function. Can this be done? The other problem is, I know there are a few package in R related to GA. So far I know all of them take a specific function as fitness function, is there any package can Solve my problem? Many thanks Ying [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] a question about AMORE (newff, sim), pls help
Hi All, I try to test the neural network package AMORE, I normalized my data first, the input data is X [x1,x2,x3] where x1,x2,x3 each is 100 row 1 column vector. the output data Y is 100 row 1 column vector. my network has neurons=c(3,2,2,1) which 2 hidden layers, 3 node in the input layer while 1 in the output layer. Once the network is trained. I use sim (result$net, z) to test the output, Here z =c(0.01,0.09,-0.001842388), to my surprise, the simulation result return is: [,1] [1,] -0.008967264 [2,] -0.008783412 [3,] -0.008750038 How come? It should return one scalar instead of a vector. Then I tried sim (result$net, z2) which z2=c(0.01), the result return is: [,1] [1,] -0.008967264 As the input should have 3 variables, how come just one input variable can have output value? And it is same as the first value in the result above. Am I misunderstand something here? Many thanks Ying [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.