lenskit.math.sparse

Sparse matrix utility functions.

Functions

normalize_sparse_rows()	Normalize the rows of a sparse matrix.
torch_sparse_from_scipy(M[, layout])	Convert a SciPy sps.coo_array into a torch sparse tensor.
torch_sparse_to_scipy(M)

lenskit.math.sparse.normalize_sparse_rows(matrix: Tensor, method: Literal['center'], inplace: bool = False) → tuple[Tensor, Tensor]

lenskit.math.sparse.normalize_sparse_rows(matrix: Tensor, method: Literal['unit'], inplace: bool = False) → tuple[Tensor, Tensor]

Normalize the rows of a sparse matrix.

lenskit.math.sparse.torch_sparse_from_scipy(M, layout='coo')

Convert a SciPy sps.coo_array into a torch sparse tensor.

Stability:

Internal (see Stability Levels).

Parameters:

• M (coo_array)

• layout (Literal['csr', 'coo', 'csc'])

Return type:

Tensor