plus-.Kernel: Operator overloading for kernel addition

In BKTR: Bayesian Kernelized Tensor Regression

Operator overloading for kernel addition

Description

Operator overloading for kernel addition

Usage

## S3 method for class 'Kernel'
k1 + k2

Arguments

k1	Kernel: The left kernel to use for composition
k2	Kernel: The right kernel to use for composition

Value

A new KernelAddComposed object.

Examples

# Create a new additive kernel
k_rq_plus_per <- KernelRQ$new() + KernelPeriodic$new()
# Set the kernel's positions
positions_df <- data.frame(x=c(-4, 0, 3), y=c(-2, 0, 2))
k_rq_plus_per$set_positions(positions_df)
# Generate the kernel's covariance matrix
k_rq_plus_per$kernel_gen()

BKTR documentation built on Sept. 12, 2024, 7:04 a.m.