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Just tried to run the clustering with the DBSCAN algorithm. However, I get the following error:
TypeError Traceback (most recent call last) in ----> 1 C.CombinedClustering(alpha=0.4, clustering_algorithm=DBSCAN,cluster_subset=nr_spikes,min_samples=5, eps=0.2, n_jobs=-1)
~\Anaconda3\envs\spikesorting_20\lib\site-packages\herdingspikes\hs2.py in CombinedClustering(self, alpha, clustering_algorithm, cluster_subset, **kwargs) 484 ) 485 ) --> 486 clusterer.fit(fourvec[inds]) 487 self.NClusters = len(np.unique(clusterer.labels_)) 488 print("Number of estimated units:", self.NClusters)
TypeError: fit() missing 1 required positional argument: 'X'
The text was updated successfully, but these errors were encountered:
Thanks, I will have a look... I'm working on some API changes, by the way. I will let you know!
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Just tried to run the clustering with the DBSCAN algorithm. However, I get the following error:
Clustering...
Using 248746 out of 248746 spikes...
TypeError Traceback (most recent call last)
in
----> 1 C.CombinedClustering(alpha=0.4, clustering_algorithm=DBSCAN,cluster_subset=nr_spikes,min_samples=5, eps=0.2, n_jobs=-1)
~\Anaconda3\envs\spikesorting_20\lib\site-packages\herdingspikes\hs2.py in CombinedClustering(self, alpha, clustering_algorithm, cluster_subset, **kwargs)
484 )
485 )
--> 486 clusterer.fit(fourvec[inds])
487 self.NClusters = len(np.unique(clusterer.labels_))
488 print("Number of estimated units:", self.NClusters)
TypeError: fit() missing 1 required positional argument: 'X'
The text was updated successfully, but these errors were encountered: