Predict Function Values at a Test Point
predict.gaussian_process.RdPredict Function Values at a Test Point
Usage
# S3 method for class 'gaussian_process'
predict(object, newdata = NULL, kernel_str = NA, ...)Arguments
- object
An object for which predictions are desired.
- newdata
a new data set to generate predictions for. Must have all of the predictor columns of the original data set or an error will be returned.
- kernel_str
the label of the kernel you would like to extract predictions for. This can be useful if you are (for example) attempting to isolate a specific signal from a data set such as a periodic component from a time series. Use the print method of the Gaussian process to determine the labels for the individual kernels.
- ...
additional arguments (ignored)