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aksnzhy / xlearn

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
https://xlearn-doc.readthedocs.io/en/latest/index.html
Apache License 2.0
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returned support for sparse matrixes (which was depricated) #310

Open iamrinni opened 5 years ago

iamrinni commented 5 years ago

In current version support of sparse matrixes was unexpectedly depricated and data conversion was switched to DMatrix function only, which returns this message if we try to add sparse matrix as input data:

[https://github.com/aksnzhy/xlearn/blob/499a1836532e6efd9643bd1d17d76f5d874f8903/python-package/xlearn/data.py#L42]

As previous interface included support and conversion of sparse matrixes, it would be a good point to keep it working. Also it might be that DMatrix function itself could be performed to be able to solve this issue.

iamrinni commented 4 years ago

@aksnzhy @etveritas hi! any updates with it?

orenov commented 4 years ago

@aksnzhy @etveritas Any updates on this?