Tensor-class: S4 Class for a Tensor

In tensorregress: Supervised Tensor Decomposition with Side Information

S4 Class for a Tensor

Description

An S4 class for a tensor with arbitrary number of modes. The Tensor class extends the base "array" class to include additional tensor manipulation (folding, unfolding, reshaping, subsetting) as well as a formal class definition that enables more explicit tensor algebra.

Slots

num_modes

number of modes (integer)

modes

vector of modes (integer), aka sizes/extents/dimensions

data

actual data of the tensor, which can be 'array' or 'vector'

Note

All of the decompositions and regression models in this package require a Tensor input.

Author(s)

James Li [e-mail]

References

James Li, Jacob Bien, Martin T. Wells (2018). rTensor: An R Package for Multidimensional Array (Tensor) Unfolding, Multiplication, and Decomposition. Journal of Statistical Software, Vol. 87, No. 10, 1-31. URL: http://www.jstatsoft.org/v087/i10/.

See Also

as.tensor

tensorregress documentation built on July 9, 2023, 7:23 p.m.