eval: commit the AutoSketch-vs-ASAP accuracy curves (#138)

.gitignore

@@ -10,6 +10,9 @@
 
 # data
 *.csv
+# The AutoSketch-vs-ASAP eval's accuracy curves are inputs, committed so it
+# reruns from the repo alone.
+!rqe-optimizer/results/autosketch-vs-asap-inputs/saturation/**/*.csv
 *.pcap
 
 # Rust target directories

rqe-optimizer/results/autosketch-vs-asap-inputs/saturation/out_1e9/saturation.csv

@@ -0,0 +1,23 @@
+family,sketch,config,dist,param,cardinality,n_sat,final_error,error_metric,insert_cpu_secs,merge_cpu_secs,query_cpu_secs,memory_bytes
+topk,cms-heap-topk-fastpath-vector2d,rows=3 cols=256,zipf,1.1,10000,316228,0.65625,precision_at_k,,,,
+topk,cms-heap-topk-fastpath-vector2d,rows=3 cols=1024,zipf,1.1,10000,1000,0.96875,precision_at_k,,,,
+topk,cms-heap-topk-fastpath-vector2d,rows=3 cols=4096,zipf,1.1,10000,1000,1.0,precision_at_k,,,,
+topk,cms-heap-topk-fastpath-vector2d,rows=3 cols=16384,zipf,1.1,10000,1000,1.0,precision_at_k,,,,
+topk,cms-heap-topk-fastpath-vector2d,rows=5 cols=256,zipf,1.1,10000,1000,0.96875,precision_at_k,,,,
+topk,cms-heap-topk-fastpath-vector2d,rows=5 cols=1024,zipf,1.1,10000,1000,1.0,precision_at_k,,,,
+topk,cms-heap-topk-fastpath-vector2d,rows=5 cols=4096,zipf,1.1,10000,1000,1.0,precision_at_k,,,,
+topk,cms-heap-topk-fastpath-vector2d,rows=5 cols=16384,zipf,1.1,10000,1000,1.0,precision_at_k,,,,
+quantile,kll-percall,k=50,pareto,2.0,,not_saturated,0.011903529510008587,mean_rank_err,,,,
+quantile,kll-percall,k=200,pareto,2.0,,not_saturated,0.0032930911996395737,mean_rank_err,,,,
+quantile,kll-percall,k=800,pareto,2.0,,not_saturated,0.0006181762605163783,mean_rank_err,,,,
+quantile,dd,alpha=0.005,pareto,2.0,,17783,0.0023010639656919902,mean_relative_value_error,,,,
+quantile,dd,alpha=0.01,pareto,2.0,,1000,0.004927219807981431,mean_relative_value_error,,,,
+quantile,dd,alpha=0.02,pareto,2.0,,1000,0.009650384743271847,mean_relative_value_error,,,,
+quantile,dd,alpha=0.05,pareto,2.0,,1000,0.02464066557822502,mean_relative_value_error,,,,
+quantile,kll-percall,k=50,pareto,3.0,,not_saturated,0.011272746316098071,mean_rank_err,,,,
+quantile,kll-percall,k=200,pareto,3.0,,not_saturated,0.0021257541223047276,mean_rank_err,,,,
+quantile,kll-percall,k=800,pareto,3.0,,56234133,0.00038667884608452183,mean_rank_err,,,,
+quantile,dd,alpha=0.005,pareto,3.0,,1000,0.0024845866734421245,mean_relative_value_error,,,,
+quantile,dd,alpha=0.01,pareto,3.0,,1000,0.005007220316037436,mean_relative_value_error,,,,
+quantile,dd,alpha=0.02,pareto,3.0,,1000,0.009765569868380548,mean_relative_value_error,,,,
+quantile,dd,alpha=0.05,pareto,3.0,,1000,0.024532785099746105,mean_relative_value_error,,,,