AttributeError: 'clusteval' object has no attribute 'results'... DUP of closed issue #5?

[junefeld]

I've tried versions from 2.0.0 to beta, all resulting in the same issue as described in Issue 5.

I'm on the latest HDBSCAN version of 0.8.27, and the beta version of Clusteval...

My array is as follows:

umap_rs_embed[:10]

array([[-0.16568227,  2.3830128 ,  0.9952151 ],
       [-0.16470274,  0.91874045,  1.6843276 ],
       [-0.10057875,  1.0044663 ,  4.231984  ],
       [ 7.218489  ,  3.189865  ,  1.6015646 ],
       [ 1.7666751 ,  2.4235313 ,  1.2277056 ],
       [-0.02537769,  1.1624466 ,  4.175513  ],
       [ 1.4869809 , -0.8690608 ,  2.6568232 ],
       [-0.05031788, -0.30832335,  0.93605393],
       [ 1.2532264 ,  1.6826892 ,  0.4620979 ],
       [ 1.3145269 ,  1.3296161 ,  3.9630399 ]], dtype=float32)

And the result of fitting is:

# Import library
from clusteval import clusteval
import hdbscan
# Set the method
ce = clusteval(method='hdbscan')
# Evaluate
results = ce.fit(umap_rs_embed)

AttributeError                            Traceback (most recent call last)
<ipython-input-6-68904b3307b8> in <module>
      5 ce = clusteval(method='hdbscan')
      6 # Evaluate
----> 7 results = ce.fit(umap_rs_embed)

~\Desktop\scripting\apps\trajectory\lib\site-packages\clusteval\clusteval.py in fit(self, X)
    170 
    171         # Compute the dendrogram threshold
--> 172         if (self.cluster!='kmeans') and (self.results['labx'] is not None) and (len(np.unique(self.results['labx']))>1):
    173             # print(self.results['labx'])
    174             max_d, max_d_lower, max_d_upper = _compute_dendrogram_threshold(self.Z, self.results['labx'], verbose=self.verbose)

AttributeError: 'clusteval' object has no attribute 'results'

[erdogant]

Thank you for reporting!
I made a fix. Can you check whether it works for you again?

pip install -U clusteval
import clusteval
print(clusteval.__version__)

Version should be >= 2.0.4

[erdogant]

I also noticed a small typo in your input arguments.

method='hdbscan' should be cluster='hdbscan'

# Import library
from clusteval import clusteval
import hdbscan
# Set the method
ce = clusteval(cluster='hdbscan')
# Evaluate
results = ce.fit(umap_rs_embed)