I tried to run the jupyter notebook tutorial as is after installing DeepTCR Development Version into its own Environment like this : pip3 install git+https://github.com/sidhomj/DeepTCR.git.
Running the Second Cell of the Tutorial (Phenograph Clustering) of the loaded Data I get a List index out of Range Error:
Command:
DTCRU.Cluster(clustering_method='phenograph')
Output:
Finding 30 nearest neighbors using minkowski metric and 'auto' algorithm Neighbors computed in 3.4997947216033936 seconds Jaccard graph constructed in 1.022956371307373 seconds Wrote graph to binary file in 0.5937418937683105 seconds Running Louvain modularity optimization
Error:
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
<ipython-input-2-1c6d55ce009b> in <module>
----> 1 DTCRU.Cluster(clustering_method='phenograph')
~/.local/lib/python3.8/site-packages/DeepTCR/DeepTCR.py in Cluster(self, set, clustering_method, t, criterion, linkage_method, write_to_sheets, sample, n_jobs, order_by_linkage)
1044
1045 elif clustering_method == 'phenograph':
-> 1046 IDX, _, _ = phenograph.cluster(features, k=30, n_jobs=n_jobs)
1047
1048 elif clustering_method == 'kmeans':
~/.local/lib/python3.8/site-packages/DeepTCR/phenograph/cluster.py in cluster(data, k, directed, prune, min_cluster_size, jaccard, primary_metric, n_jobs, q_tol, louvain_time_limit, nn_method)
114 uid = uuid.uuid1().hex
115 graph2binary(uid, graph)
--> 116 communities, Q = runlouvain(uid, tol=q_tol, time_limit=louvain_time_limit)
117 print("PhenoGraph complete in {} seconds".format(time.time() - tic), flush=True)
118 communities = sort_by_size(communities, min_cluster_size)
~/.local/lib/python3.8/site-packages/DeepTCR/phenograph/core.py in runlouvain(filename, max_runs, time_limit, tol)
261
262 # continue only if we've reached a higher modularity than before
--> 263 if q[-1] - Q > tol:
264
265 Q = q[-1]
IndexError: list index out of range
``
What am I doing wrong ?
I tried to run the jupyter notebook tutorial as is after installing DeepTCR Development Version into its own Environment like this : pip3 install git+https://github.com/sidhomj/DeepTCR.git.
Running the Second Cell of the Tutorial (Phenograph Clustering) of the loaded Data I get a List index out of Range Error:
Command:
Output:
Finding 30 nearest neighbors using minkowski metric and 'auto' algorithm Neighbors computed in 3.4997947216033936 seconds Jaccard graph constructed in 1.022956371307373 seconds Wrote graph to binary file in 0.5937418937683105 seconds Running Louvain modularity optimization
Error: