A package for combining multiple partitions into a consolidated clustering. The combinatorial optimization problem of obtaining such a consensus clustering is reformulated in terms of approximation algorithms for graph or hyper-graph partitioning.
Hi, when I update my scikit-learn and then using Cluster_Ensembles package, an error happened:
_ImportError: cannot import name 'jaccard_similarityscore' from 'sklearn.metrics'
Now I solved this problem, I go to my C:\Users\china\Anaconda3\Lib\site-packages\Cluster_Ensembles folder, modify "Cluster_Ensembles.py" file's 37 line,
from: from sklearn.metrics import jaccard_similarity_score
to: from sklearn.metrics import jaccard_score
then it is solved, reference by https://github.com/DiamondLightSource/SuRVoS/issues/103.
Maybe you can modify this sentence by scikit-learn version selection.
Hi, when I update my scikit-learn and then using Cluster_Ensembles package, an error happened: _ImportError: cannot import name 'jaccard_similarityscore' from 'sklearn.metrics'
Now I solved this problem, I go to my C:\Users\china\Anaconda3\Lib\site-packages\Cluster_Ensembles folder, modify "Cluster_Ensembles.py" file's 37 line, from: from sklearn.metrics import jaccard_similarity_score to: from sklearn.metrics import jaccard_score then it is solved, reference by https://github.com/DiamondLightSource/SuRVoS/issues/103.
Maybe you can modify this sentence by scikit-learn version selection.