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Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

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Hi guys, I have a question regarding the the `cosinesimil` space. How should indexing results using this space interpreted? Does `1` mean the most similar (similarity interpretation) or orthogonal (angular...

Is it possible to return index only without the distance calculated? Will it save the computing time? Thanks. Marc.

Hello everyone, I have a question regarding the use of precomputed proximity matrices: My data are already given as a proximity matrix as the distance calculations are computational too expensive...

I have some 10 M vectors and I tried to build an index by batch. Here is what I have and they are wrong. ``` # Instantiate index index =...

When using `cmake . && make`, the following error happens ![image](https://user-images.githubusercontent.com/49133165/128405584-d0073abb-22b2-44c2-bba5-b71a850a47ba.png) Tested on Big Sur 11.4

first, I coude not build this nmslib with windows x64 release download from github, the Visual stuio is 2019; second,when I get the NonMetricSpaceLib.lib,for the Third_party of my c++ Project....

Hi @searchivarius , As I am using this package intensively, I have tried to add new space class using the instructions you have on the manual page but failed due...

enhancement

Hi @searchivarius Another question. I have a `1 mn * 2000` dimension data and and I am using `method=hnsw` and `space=angulardist`. I have noticed cases where the searched id finds...

Hi @searchivarius , I have a dataset with 1 mn * 2000 dimension - all numeric fields. At the index time, I am using following params ``` M=20 efC=3000 num_threads=12...

@searchivarius Kindly allow weight array to be passed along with feature array in the same fashion `scipy.spatial.distance.euclidean(u, v, w=None)` does. Reference: This is really useful especially when we are dealing...

enhancement