I'm getting an error while trying to install kernlab for R. My R version is 3.5.2. My OS is ChromeOS 108.0.5359.58 beta (64-bit), with Debian 10 (bust ...
I'm getting an error while trying to install kernlab for R. My R version is 3.5.2. My OS is ChromeOS 108.0.5359.58 beta (64-bit), with Debian 10 (bust ...
I am trying to implement Kernel K Means clustering with the kkmeans() function from the kernlab R package. My problem is that my code returns the expe ...
For a range I want to identify where changes in distribution happens and where that value is the maximum. Currently I am using a kernel maximum discre ...
I have a 2043-hourly time series. My aim is to train and test a forecasting model through Gaussian Processes Regression (GPR) model, including its unc ...
I seem to be encountering an error using the ksvm function. Each time I try to run the below code I get an error message I have asked colleagues, b ...
I am trying to do an assignment for data splitting (training set, validation set, and test set) to find the most suitable classifier --in this case, k ...
I am trying to complete a homework assignment for a class in Analytics. We are using the kknn (K nearest neighbor) function for classification. Anyway ...
I am trying to use a Gaussian Process Regression (GPR) model to predict hourly streamflow discharges in a river. I've got good results applying the ca ...
I am using stepAIC() function from library (MASS). And per the documentation it says that I can pass an 'object': a model of an appropriate clas ...
Is there an easy way to iterate through multiple C values and display the top 5 results? I have ksvm set up like this: and want to know if there's ...
I'm new to R, so maybe this is a dumb question, but I'm looking for a way to iterate over all possible kernel options in the ksvm function in kernlab ...
I am experimenting with gaussian process model and in particular the implementation in the kernlab R package. I found the model fitting hangs when exc ...
I have been running into this error every time I try to implement ksvm. My code: I am not sure where I am going wrong. the dimensions of the datase ...
I am working with a dataset that has approximately 150000 rows and 25 columns. The data consist of numerical and factor variables. Factor variables ar ...
I'm having trouble with my custom training model in the caret package. I need to do a SVM regression and I want to find all the parameters of the SVM ...
I am using the tm package to create a corpus of documents and I want to use spectral clustering (kernlab package) for text classification. So, if I h ...
I want to build an svm with a custom kernel. Usually I use the R package kernlab for that. Since, I want to try out different kernels and tune the hyp ...
I want to suppress the message "Setting default kernel parameters", but none of the options discussed here are doing the job that is "echo=F", "warnin ...
I have been using the kernlab package and been facing issues using ksvm/predict function with precomputed kernels. The error message I have got is: ...
I'm using gausspr function from the kernlab package for Gaussian process classification, and running into the following error message: Error in vo ...