Open
Description
Describe the bug
When passing a list to silhouette_score as such:
silhouette_score(X, tsk.labels_, metric='euclidean')with X a pure python list. It crashes:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-17-77a8b5db76ff> in <module>
4 tsk = TimeSeriesKMeans(n_clusters=k)
5 tsk.fit(X)
----> 6 print(k, silhouette_score(X, tsk.labels_, metric='euclidean'))
/usr/local/lib/python3.8/dist-packages/tslearn/clustering/utils.py in silhouette_score(X, labels, metric, sample_size, metric_params, n_jobs, verbose, random_state, **kwds)
177 elif metric == "euclidean":
178 X_ = to_time_series_dataset(X)
--> 179 X_ = X_.reshape((X.shape[0], -1))
180 sklearn_X = cdist(X_, X_, metric="euclidean")
181 else:
AttributeError: 'list' object has no attribute 'shape'
Passing np.array(X) instead fixes this issue,
Expected behavior
One would expect tslearn to do the conversion to numpy array when a list is passed.