Updating a compressed index fails with AttributeError: 'NNDescent' object has no attribute '_neighbor_graph'

[lsorber]

Minimal example that reproduces the problem:

import numpy as np
from pynndescent import NNDescent

X = np.random.randn(1024, 384).astype(dtype=np.float32)
ann_index = NNDescent(X, metric="cosine", compressed=True)
ann_index.prepare()

X_update = np.random.randn(1024, 384).astype(dtype=np.float32)
ann_index.update(X_update)

Results in an AttributeError: 'NNDescent' object has no attribute '_neighbor_graph'.

With compressed=False this issue doesn't occur.

Thank you for the great package 🙏!

[lmcinnes]

compressed=True indexes are, unfortunately, not updateable; a bunch of the information needed for the update is dropped to compress the whole thing down to be smaller.

[lsorber]

Thanks for the clarification! Would it make sense to for instance raise a more informative error when attempting to update a compressed index to help other users know about this limitation?