DelayedTensor-package: R package for sparse and out-of-core arithmetic and...

In rikenbit/DelayedTensor: R package for sparse and out-of-core arithmetic and decomposition of Tensor

R package for sparse and out-of-core arithmetic and decomposition of Tensor

Description

DelayedTensor operates Tensor arithmetic directly on DelayedArray object. DelayedTensor provides some generic function related to Tensor arithmetic/decompotision and dispatches it on the DelayedArray class. DelayedTensor also suppors Tensor contraction by einsum function, which is inspired by numpy einsum.

Details

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Author(s)

Koki Tsuyuzaki [aut, cre]

Maintainer: Koki Tsuyuzaki <[e-mail]>

See Also

# Unfold operations unfold, k_unfold, matvec, rs_unfold, cs_unfold, ttl # Fold operations fold, k_fold, unmatvec, rs_fold, cs_fold, ttm # Vectorization vec # Norm operations fnorm, innerProd # Diagonal operations / Diagonal Tensor diag, DelayedDiagonalArray # Mode-wise operations modeSum, modeMean # Tensor product operations hadamard, hadamard_list, kronecker, kronecker_list, khatri_rao, khatri_rao_list # Utilities list_rep, modebind_list, rbind_list, cbind_list # Decomposition operations hosvd, cp, tucker, mpca, pvd # Einsum operation einsum

Examples

ls("package:DelayedTensor")

rikenbit/DelayedTensor documentation built on Sept. 28, 2024, 5:43 a.m.