Comments (1)
It is a little difficult to avoid the randomness of the seeds.
If you request more than 100 vectors as a result, the result is deterministic. This number 100 depends on the maximum number of objects in the leaf node of the tree index. The number is written in this line.
If 10 is set to this, even when you request only 10 vectors, the result remains deterministic. However, altering the number might affect the search performance.
Alternatively, if the following line is added in define.h.in, it might be possible to obtain deterministic results.
#define NGT_DISABLE_SRAND_FOR_RANDOM
from ngt.
Related Issues (20)
- How to create a QBG with Capi ? HOT 7
- Specify num_threads for searching HOT 3
- Linking issue HOT 2
- Add more ngt_insert_index_as_TYPE methods to C API HOT 2
- Feature request: Command line output option that doesn't require intensive deserialization
- Add new QBG methods to C API HOT 7
- Is there any benchmark result for NGT QG/QBG? HOT 4
- file descriptor leak on `index.build_index` HOT 2
- Missing functions and types in the C API HOT 14
- Python bindings for QG/QBG HOT 3
- bugs HOT 3
- Building with -DNGT_QBG_DISABLED=ON still trying to link with LAPACK and BLAS HOT 2
- How to update NGT from older version to new one? HOT 2
- pip install in python==3.11 fails : could not find a version that satisfies HOT 4
- Running sample codes (e.g., qg-l2-float) HOT 6
- Remove vector causes error, only for "Normalised" distance types: Index.h:remove:1544: Not found the specified id HOT 7
- Quantization in qg-l2-float.cpp HOT 1
- colab import ngt dose not work HOT 1
- Paper and references for QG HOT 1
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from ngt.