R6 Class for Kruskal Tensors (KTensor)

A class representing Kruskal tensors (KTensor), which are the sum of outer products of vectors. This matches the behavior of MATLAB's Tensor Toolbox ktensor.

A Kruskal tensor is represented by a set of factor matrices and a vector of weights.

Usage

ktensor(lambda = NULL, U = NULL)

Arguments

lambda: A numeric vector of weights, or list of matrices U if lambda is omitted.
U: A list of factor matrices. Let NULL if passing list as lambda.

Value

A KTensor object

Public fields

lambda: Vector of weights
U: List of factor matrices

Methods

`KTensor$new()`

Initialize a new KTensor

Usage

KTensor$new(lambda = NULL, U = NULL)

Arguments

lambda: A numeric vector of weights. If NULL, defaults to a vector of 1s.
U: A list of factor matrices

Returns

A new KTensor object

`KTensor$dim()`

Get dimensions of the tensor

Usage

KTensor$dim()

Returns

Integer vector of dimensions

`KTensor$ndims()`

Get number of dimensions

Usage

KTensor$ndims()

Returns

Integer number of dimensions

`KTensor$print()`

Print the KTensor object

Usage

KTensor$print(...)

Arguments

...: Additional arguments

Returns

Invisible self

`KTensor$full()`

Convert Kruskal tensor to dense Tensor

Usage

KTensor$full()

Returns

A new Tensor object representing the full dense tensor

`KTensor$clone()`

The objects of this class are cloneable with this method.

Usage

KTensor$clone(deep = FALSE)

Arguments

deep: Whether to make a deep clone.