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DOC: Small corrections and improvements to supported inputs page #2851

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10 changes: 5 additions & 5 deletions doc/sources/input-types.rst
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Expand Up @@ -40,16 +40,16 @@ receiving an unsupported class, estimators will either convert to a supported cl
circumstances (e.g. PyArrow tables might get converted to NumPy arrays when passed to data
validators from stock |sklearn|), throw an error (e.g. when passing some data format not that's
not recognized by |sklearn|), or fall back to stock |sklearn| to handle it (when array API is
enabled the input is unsupported).
enabled but the input is unsupported).

.. warning::
In some cases data passed to estimators might be copied/duplicated during calls to methods such as fit/predict.
The affected cases are listed below.
In some cases, data passed to estimators might be copied/duplicated during calls to methods such as fit/predict.
The affected cases are listed below:

- Non-contiguous NumPy array - i.e. where strides are wider than one element across both rows and columns
- For SciPy CSR matrix / array, index arrays are always copied. Note that sparse matrices in formats other than CSR
will be converted to CSR, which implies more than just data copying.
- Heterogeneous NumPy array
- If SYCL queue is provided for device without ``float64`` support but data are ``float64``, data are copied with reduced precision.
- If :ref:`Array API <array_api>` is not enabled then data from GPU devices are always copied to the host device and then result table
- If a SYCL queue is provided for device without ``float64`` support but data are ``float64``, data is copied with reduced precision.
- If :doc:`array_api` is not enabled then data from GPU devices are always copied to the host device and then result table
(for applicable methods) is copied to the source device.
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