Benchmark

alexklibisz · Dec 3, 2023 · f7d082f · f7d082f
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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|370.734|
-|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=0|0.446|309.552|
-|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=3|0.634|294.413|
-|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=3|0.716|251.986|
-|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=0|0.768|322.301|
-|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=0|0.847|275.513|
-|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=3|0.921|224.335|
-|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=3|0.960|198.367|
+|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=0|0.378|395.003|
+|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=0|0.447|329.985|
+|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=3|0.635|310.019|
+|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=3|0.717|269.350|
+|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=0|0.767|342.488|
+|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=0|0.846|294.885|
+|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=3|0.922|234.953|
+|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=3|0.960|211.898|