[scikit-learn] Issue in BIRCH clustering algo

2021-02-11 Thread Farzana Anowar 

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)

--
Best Regards,

Farzana Anowar,
PhD Candidate
Department of Computer Science
University of Regina
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Re: [scikit-learn] Issue in BIRCH clustering algo

2021-02-11 Thread Roman Yurchak 
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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