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alexklibisz avatar alexklibisz commented on May 18, 2024

Some notes on how to work with the ann-benchmarks project:

  • Useful to wrap this line with timing: https://github.com/erikbern/ann-benchmarks/blob/master/ann_benchmarks/runner.py#L77
  • Run the benchmark locally (i.e. not in docker container): python run.py --dataset kosarak-jaccard --algorithm elastiknn-exact --local
  • Generate plots once there results directory is populated: python plot.py --dataset kosarak-jaccard -o out.png. If you generated the results in a docker image, you might need to run sudo chown -R alex:alex results because the permissions get set to root.
  • Original project use c5.4xlarge instance

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alexklibisz avatar alexklibisz commented on May 18, 2024

Once #125 is completed, I can use py4j to call models without worry about setting up the elasticsearch server in the same container. That was a major pain and bottleneck the first time I tried this integration.

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alexklibisz avatar alexklibisz commented on May 18, 2024

Working on this in #150

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alexklibisz avatar alexklibisz commented on May 18, 2024

Closing this since there was a pr merged over in ann-benchmarks recently.

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