Description Usage Arguments Value See Also

Will extract the mapping between IDs passed as 'X' to function 'poismf' and row/column positions in the latent factor matrices and prediction functions.

Such a mapping will only be generated if the 'X' passed to 'poismf' was a 'data.frame', otherwise they will not be re-mapped.

1 | ```
get.model.mappings(model)
``` |

`model` |
A Poisson factorization model as returned by 'poismf'. |

A list with row entries:

'rows': a vector in which each user/row ID is placed at its ordinal position in the internal data structures. If there is no mapping (e.g. if 'X' passed to 'poismf' was a sparse matrix), will be 'NULL'.

'columns': a vector in which each item/column ID is placed at its ordinal position in the internal data structures. If there is no mapping (e.g. if 'X' passed to 'poismf' was a sparse matrix), will be 'NULL'.

get.factor.matrices

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