Batch query from python

[scottgigante]

Thanks for building NGT, this is excellent!
I'm wondering what would be the most efficient way to compute the approximate k nearest neighbours for all data points in the index in python. I see you have a batch_insert function but I do not see an equivalent batch_query function.
The equivalent code in e.g. scikit-learn would be

import sklearn.neighbors
distances, indices = sklearn.neighbors.NearestNeighbors(n_neighbors).fit(data).kneighbors(data)

[masajiro]

Thank you for your interest.

Although NGT does not have batch_query you mentioned, you only have to iterate search() with all of the registered objects after constructing an index.

[scottgigante]

Thanks. I was hoping to avoid a Python for loop, but this will be sufficient. Thank you!