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76 lines
2.6 KiB
76 lines
2.6 KiB
using HNSWDemo.Utils;
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using System;
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using System.Collections.Generic;
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using System.Diagnostics;
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using System.Linq;
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using ZeroLevel.HNSW;
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namespace HNSWDemo.Tests
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{
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public class AccuracityTest
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: ITest
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{
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private static int K = 200;
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private static int count = 10000;
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private static int testCount = 500;
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private static int dimensionality = 128;
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public void Run()
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{
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var totalHits = new List<int>();
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var timewatchesNP = new List<float>();
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var timewatchesHNSW = new List<float>();
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var samples = VectorUtils.RandomVectors(dimensionality, count);
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var sw = new Stopwatch();
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var test = new VectorsDirectCompare(samples, Metrics.Cosine);
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var world = new SmallWorld<float[]>(NSWOptions<float[]>.Create(8, 12, 100, 100, Metrics.Cosine));
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sw.Start();
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var ids = world.AddItems(samples.ToArray());
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sw.Stop();
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Console.WriteLine($"Insert {ids.Length} items: {sw.ElapsedMilliseconds} ms");
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Console.WriteLine("Start test");
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var test_vectors = VectorUtils.RandomVectors(dimensionality, testCount);
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foreach (var v in test_vectors)
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{
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sw.Restart();
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var gt = test.KNearest(v, K).ToDictionary(p => p.Item1, p => p.Item2);
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sw.Stop();
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timewatchesNP.Add(sw.ElapsedMilliseconds);
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sw.Restart();
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var result = world.Search(v, K);
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sw.Stop();
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timewatchesHNSW.Add(sw.ElapsedMilliseconds);
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var hits = 0;
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foreach (var r in result)
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{
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if (gt.ContainsKey(r.Item1))
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{
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hits++;
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}
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}
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totalHits.Add(hits);
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}
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Console.WriteLine($"MIN Accuracity: {totalHits.Min() * 100 / K}%");
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Console.WriteLine($"AVG Accuracity: {totalHits.Average() * 100 / K}%");
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Console.WriteLine($"MAX Accuracity: {totalHits.Max() * 100 / K}%");
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Console.WriteLine($"MIN HNSW TIME: {timewatchesHNSW.Min()} ms");
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Console.WriteLine($"AVG HNSW TIME: {timewatchesHNSW.Average()} ms");
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Console.WriteLine($"MAX HNSW TIME: {timewatchesHNSW.Max()} ms");
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Console.WriteLine($"MIN NP TIME: {timewatchesNP.Min()} ms");
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Console.WriteLine($"AVG NP TIME: {timewatchesNP.Average()} ms");
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Console.WriteLine($"MAX NP TIME: {timewatchesNP.Max()} ms");
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}
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}
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}
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