Can you just reshape your 3d array to a 2d array, and then reshape when
input by your distance metric?
On 10 January 2014 12:59, Mark Regan <m...@thinkvein.com> wrote:
> Hi all,
>
> tldr: Is there a way for me to pass a 3D array to KNearestNeighbour?
>
> I have constructed a custom distance metric to be used with KNN. It takes *two
> 2D arrays* and returns a float. I believe this fits the requirements for
> a distance metric in sklearn.
>
> However, I am unable to pass a 3D array to KNearestNeighbour. I get the
> following error:
>
> /Library/Python/2.7/site-packages/sklearn/neighbors/base.pyc in _fit(self, X)
> 178 179 if X.ndim != 2:--> 180 raise
> ValueError("data type not understood") 181 182 n_samples =
> X.shape[0]
> ValueError: data type not understood
>
>
> Is there a way for me to pass a non 2D array to KNearestNeighbour? For
> context, I'm implementing a 1NN with Dynamic Time Warping.
>
> If not, is there a work around or a suggestion?
>
> Many thanks
> Mark
>
>
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