TypeError: 'numpy.float64' object cannot be interpreted as an integer

Nobody has claimed this yet.

Hey! I had the problem mentioned in this [thread](https://github.com/MaartenGr/BERTopic/issues/1411), but after the update the problem was solved. Another one appeared, I get this error:

```
TypeError Traceback (most recent call last)
[/usr/local/lib/python3.10/dist-packages/bertopic/_bertopic.py](https://localhost:8080/#) in _cluster_embeddings(self, umap_embeddings, documents, partial_fit, y)
3217 try:
-> 3218 self.hdbscan_model.fit(umap_embeddings, y=y)
3219 except TypeError:

9 frames
hdbscan/_hdbscan_tree.pyx in hdbscan._hdbscan_tree.condense_tree()

hdbscan/_hdbscan_tree.pyx in hdbscan._hdbscan_tree.condense_tree()

TypeError: 'numpy.float64' object cannot be interpreted as an integer

During handling of the above exception, another exception occurred:

TypeError Traceback (most recent call last)
[/usr/local/lib/python3.10/dist-packages/hdbscan/hdbscan_.py](https://localhost:8080/#) in _tree_to_labels(X, single_linkage_tree, min_cluster_size, cluster_selection_method, allow_single_cluster, match_reference_implementation, cluster_selection_epsilon, max_cluster_size)
76 set of labels and probabilities.
77 """
---> 78 condensed_tree = condense_tree(single_linkage_tree, min_cluster_size)
79 stability_dict = compute_stability(condensed_tree)
80 labels, probabilities, stabilities = get_clusters(

hdbscan/_hdbscan_tree.pyx in hdbscan._hdbscan_tree.condense_tree()

hdbscan/_hdbscan_tree.pyx in hdbscan._hdbscan_tree.condense_tree()

TypeError: 'numpy.float64' object cannot be interpreted as an integer
```
I checked the data that I put into the model and there is nothing there in this format. What's more, I checked it on the file I was working on yesterday, which was reprocessed successfully. Suddenly I am getting this error on it as well. Any ideas?

Start at bertopic/_bertopic.py in _cluster_embeddings and inspect the hdbscan_model.fit call shown in the traceback. Reproduce the failure and determine whether the issue is in BERTopic's clustering path or the hdbscan dependency; done means the cause is confirmed and clustering succeeds under a tested fix or documented compatible setup.

Written by the indexing model from the issue text.