On 10 September 2012 10:08, Andreas Mueller <[email protected]>wrote:
> Hi Denis.
> As far as I know there was no change in MiniBatchKMeans.
> Was the result you had before robust?I would guess
> that there is something non-deterministic somewhere.
>
MiniBatchKMeans uses a random initialisation and can easily fall into local
minimas. If you want to compare the 0.11 version against the 0.12 version,
you need to use the same initialisation (possible by fixing the seed).
Cheers,
N
>
> Cheers,
> Andy
>
>
> On 09/07/2012 03:56 PM, denis wrote:
>
> Folks,
>
> what changed in MiniBatchKMeans in .12 ?
> Running it on datasets.load_digits() gave 10 classes in .11
> but now only 8 in .12 ?
> test-mbkmeans.py and logs attached.
> (Sure the size is too small for MiniBatch
> and for that matter kmeans is I think generally weak, low priority.)
>
> Bytheway datasets.load_digits() is only the 1797 uciml/optdigits test,
> not the 5620 train+test in mldata uci-20070111-optdigits .
>
> cheers,
> bon weekend
> -- denis
>
>
>
>
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