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The version in PyPI does not work as described in #29#35 and #34 is not merged.
There is a fork https://github.com/rfayat/spherecluster but it doesn't work for me either.
Downgrading scikit-learn==0.20.0 for some reason also didn't work, maybe I'm doing it wrong.
The text was updated successfully, but these errors were encountered:
@Darel13712 I downgraded to scikit-learn 0.22.0 and it worked for me. I've only tested spherecluster.util.sample_vMF() and spherecluster.VonMisesFisherMixture (posterior_type='soft') so far.
I implemented a quick dirty fix for VonMisesFisherMixture obtained by replicating locally the dependencies from the last working version of sklearn (0.22). See my fork. Works with sklearn 1.6.1+
Disclaimer: I did not work on fixing SphericalKMeans. Therefore, the fix deprecates the option init == "spherical-k-means" for _init_unit_centers. This option will now raise a NotImplementedError.
The version in PyPI does not work as described in #29 #35 and #34 is not merged.
There is a fork https://github.com/rfayat/spherecluster but it doesn't work for me either.
Downgrading scikit-learn==0.20.0 for some reason also didn't work, maybe I'm doing it wrong.
The text was updated successfully, but these errors were encountered: