Description Usage Arguments Value
Perform IVM selection for sparse GP regression
1 | IVM.regression(predictors, activeSetSize, variance, kernel.function)
|
predictors |
a numeric matrix of predictors (X) |
activeSetSize |
the number of points to select for the active set |
variance |
the variance of the Gaussian noise function |
kernel.function |
a positive definite function which takes two vectors x_1 and x_2 and returns the covariance between the two points |
An object of class IVM. Active set indices are stored in activeSet
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