lenskit.data.types

Basic data types used in data representations.

Attributes

FeedbackType	Types of feedback supported.
NPID	NumPy entity identifier types.
ID	Allowable identifier types.
IDArray	NumPy arrays of identifiers.
IDSequence	Sequences of identifiers.
NPMatrix
NPVector
DF_FORMAT
MAT_FORMAT
LAYOUT

Classes

AliasedColumn	A data frame column with possible aliases.
UIPair	A user-item pair of values.
Extent	Representation of a range with a start and end.

Module Contents

type lenskit.data.types.FeedbackType = Literal['explicit', 'implicit']

Types of feedback supported.

type lenskit.data.types.NPID = np.integer[Any] | np.str_ | np.bytes_ | np.object_

NumPy entity identifier types.

type lenskit.data.types.ID = CoreID | NPID

Allowable identifier types.

type lenskit.data.types.IDArray = np.ndarray[tuple[int], np.dtype[NPID]]

NumPy arrays of identifiers.

type lenskit.data.types.IDSequence = '\n    Sequence[ID]\n    | IDArray\n    | pa.StringArray\n    | pa.IntegerArray[Any]\n    | pa.ChunkedArray[Any]\n    | pd.Series[CoreID]\n    '

Sequences of identifiers.

type lenskit.data.types.NPMatrix = np.ndarray[tuple[int, int], np.dtype[V]]

type lenskit.data.types.NPVector = np.ndarray[tuple[int], np.dtype[V]]

type lenskit.data.types.DF_FORMAT = Literal['numpy', 'pandas', 'torch']

type lenskit.data.types.MAT_FORMAT = Literal['scipy', 'torch', 'pandas', 'structure']

type lenskit.data.types.LAYOUT = Literal['csr', 'coo']