Solve compatibility issues with scikit>=0.24 #34
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@rfayat Thanks for helping with this. I suspect even this PR is now out of date. Do you have an interest in becoming a co-owner of the package? Are you still using it? |
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Hi @jasonlaska, indeed as mentioned in #35 the API changed again with v1.0 and this PR is therefore outdated and I'm closing it. Sure I'd be happy to help you manage the package ! I'll work on compatibility with the latest version of scikit (which is supposed to be stable so there shouldn't be further issues) when I'll have a bit of time 😄 |
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Hi @jasonlaska sorry I was on vacation last week and I missed your invitation to co-own the repository which now has expired... Could you please re-send it ? |
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Hi !
First of all thanks a lot for implementing these algorithms !
I've taken care of solving issue #29 which came from a change in scikit's code for kmeans with the release of scikit v0.23. As mentioned by @dominikstrb in PR #31, fixing the issue went a little deeper than simply replacing
sklearn.clusters.k_means_bysklearn.clusters._kmeansmainly because_init_centroidsis now a class method ofKMeans(the same issue is for instance mentioned here).In any case, I hope this help ! This is only the second time I contribute to a public repo so I am 100% open to feedback.
Cheers,
Romain F