It's a known issue, see
https://github.com/scikit-learn/scikit-learn/issues/17966
Someone would would need to investigate more to find a fix though.
If you have a minimal reproducible example that's different from the one
in that issue, and could post it there it would help.
Roman
On 11/02/2021 17:29, Farzana Anowar wrote:
Hello everyone,
I was trying to run the BIRCH clustering algorithm. However, after
fitting the model I am facing the following error:
AttributeError: '_CFSubcluster' object has no attribute 'sq_norm_'
This error occurs only after fitting the model and I couldn't find any
proper explanation of this. Could anyone give me any suggestions on
that? It would be really helpful.
Here is my code:
from sklearn.cluster import Birch
# Creating the BIRCH clustering model
model = Birch(n_clusters = None)
# Fit the data (Training)
model.fit(df)
# Predict the same data
pred = model.predict(df)
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