Benchmark

alexklibisz · Nov 29, 2023 · c9f72ab · c9f72ab
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diff --git a/docs/pages/performance/fashion-mnist/plot.b64 b/docs/pages/performance/fashion-mnist/plot.b64
diff --git a/docs/pages/performance/fashion-mnist/plot.png b/docs/pages/performance/fashion-mnist/plot.png
diff --git a/docs/pages/performance/fashion-mnist/results.md b/docs/pages/performance/fashion-mnist/results.md
@@ -1,10 +1,10 @@
 |Model|Parameters|Recall|Queries per Second|
 |---|---|---|---|
-|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=0|0.378|349.650|
-|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=0|0.447|287.767|
-|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=3|0.634|282.009|
-|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=3|0.716|239.570|
-|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=0|0.767|306.244|
-|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=0|0.847|263.877|
-|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=3|0.921|220.324|
-|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=3|0.960|195.076|
+|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=0|0.378|337.457|
+|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=0|0.446|281.828|
+|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=3|0.634|272.814|
+|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=3|0.716|232.698|
+|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=0|0.767|303.686|
+|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=0|0.846|254.121|
+|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=3|0.922|215.233|
+|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=3|0.960|190.689|