there is a fix for that in current master. check arrays now has 'allow lists'.
andy
Robert Layton <[email protected]> schrieb:
>When using cross_validation.X, all arrays are checked in the normal way
>--
>using check_arrays.
>I am developing code that uses string documents as input, so I have a
>list
>of strings as the "data" and a numpy array as classes as normal.
>(In case anyone doesn't know, my research area is authorship analysis.)
>I have classes that use the Classifier mixins etc, so they work well
>with
>cross validation, except that a copy of the data is made to create the
>numpy array.
>Normally this is fine, but I'm now working with a really large dataset
>that
>fits into memory only once.
>The copy that gets made by check_array causes a memory error.
>
>My question: converting to numpy arrays is intended behaviour, and fits
>with the rest of the project. Should there be a way to turn it off?
>i.e.
>"respect_input_type=True" argument?
>
>
>- Robert
>
>
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>
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