KernelMulComposed {BKTR}

R6 class for Kernels Composed via Multiplication

Description

R6 class automatically generated when multiplying two kernels together.

Super classes

BKTR::Kernel -> BKTR::KernelComposed -> KernelMulComposed

Methods

Public methods

• KernelMulComposed$new()

• KernelMulComposed$clone()

Inherited methods

• BKTR::Kernel$add_jitter_to_kernel()
• BKTR::Kernel$kernel_gen()
• BKTR::Kernel$plot()
• BKTR::KernelComposed$core_kernel_fn()
• BKTR::KernelComposed$set_positions()

Method new()

Create a new KernelMulComposed object.

Usage

KernelMulComposed$new(left_kernel, right_kernel, new_name)

Arguments

left_kernel

Kernel: The left kernel to use for composition

right_kernel

Kernel: The right kernel to use for composition

new_name

String: The name of the composed kernel

Returns

A new KernelMulComposed object.

Method clone()

The objects of this class are cloneable with this method.

Usage

KernelMulComposed$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

# Create a new locally periodic kernel
k_loc_per <- KernelMulComposed$new(
  left_kernel = KernelSE$new(),
  right_kernel = KernelPeriodic$new(),
  new_name = 'Locally Periodic Kernel'
)
# Set the kernel's positions
positions_df <- data.frame(x=c(-4, 0, 3), y=c(-2, 0, 2))
k_loc_per$set_positions(positions_df)
# Generate the kernel's covariance matrix
k_loc_per$kernel_gen()