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Performance: picked better parameters for Fashion MNIST dataset (239QPS @ 0.96 recall) #727

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Aug 31, 2024
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Performance: picked better parameters for Fashion MNIST dataset (239QPS @ 0.96 recall) #727

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ee33264
Partial results for a gridsearch of parameters on AWS
alexklibisz Aug 31, 2024
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alexklibisz Aug 31, 2024
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alexklibisz Aug 31, 2024
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Remove plot.txt
alexklibisz Aug 31, 2024
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4 changes: 2 additions & 2 deletions ann-benchmarks/config.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -18,5 +18,5 @@ float:
name: elastiknn-l2lsh
run_groups:
elastiknn-l2lsh:
args: [[100], [4], [1024, 2048]]
query_args: [[500, 1000], [0, 3]]
args: [[175], [7], [3900]]
query_args: [[100,500,1000], [0]]
2 changes: 1 addition & 1 deletion docs/pages/performance/fashion-mnist/plot.b64
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11 changes: 3 additions & 8 deletions docs/pages/performance/fashion-mnist/results.md
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@@ -1,10 +1,5 @@
|Model|Parameters|Recall|Queries per Second|
|---|---|---|---|
|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=0|0.378|373.943|
|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=0|0.447|322.600|
|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=3|0.635|278.750|
|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=3|0.717|248.708|
|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=0|0.767|328.214|
|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=0|0.847|291.762|
|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=3|0.922|217.030|
|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=3|0.960|197.218|
|eknn-l2lsh|L=175 k=7 w=3900 candidates=100 probes=0|0.607|304.462|
|eknn-l2lsh|L=175 k=7 w=3900 candidates=500 probes=0|0.921|269.909|
|eknn-l2lsh|L=175 k=7 w=3900 candidates=1000 probes=0|0.962|239.598|