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sklearn, pytorch, tensorflow rely mostly on matrix input and outputs, what would be the simplest (and preferably efficient) way to integrate them with ibis? is there also support for sparse vectors? |
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Hi @ophiry -- we don't have support for sparse vectors. For For I haven't used |
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Hi @ophiry -- we don't have support for sparse vectors.
For
pytorch
, we have ato_torch()
method on tables and columns for generating a torch-compatible version of the table/column.For
numpy
, the fastest route is viapyarrow
, so you could callmy_column.to_pyarrow().to_numpy()
.I haven't used
tensorflow
in a loooooong time, is there a particular input format it prefers?