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hnsw(faiss).html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<!-- The above 3 meta tags *must* come first in the head; any other head content must come *after* these tags -->
<title>hnsw(faiss)</title>
<script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.5.0/Chart.js"></script>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script>
<!-- Include all compiled plugins (below), or include individual files as needed -->
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css" integrity="sha384-BVYiiSIFeK1dGmJRAkycuHAHRg32OmUcww7on3RYdg4Va+PmSTsz/K68vbdEjh4u" crossorigin="anonymous">
<!-- Bootstrap -->
<script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js" integrity="sha384-Tc5IQib027qvyjSMfHjOMaLkfuWVxZxUPnCJA7l2mCWNIpG9mGCD8wGNIcPD7Txa" crossorigin="anonymous"></script>
<style>
body { padding-top: 50px; }
</style>
<!-- HTML5 shim and Respond.js for IE8 support of HTML5 elements and media queries -->
<!-- WARNING: Respond.js doesn't work if you view the page via file:// -->
<!--[if lt IE 9]>
<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
<![endif]-->
</head>
<body>
<nav class="navbar navbar-inverse navbar-fixed-top">
<div class="container">
<div class="navbar-header">
<a class="navbar-brand" href="index.html">ANN Benchmarks</a>
</div>
<div id="navbar" class="collapse navbar-collapse">
<ul class="nav navbar-nav">
<li class="active"><a href="index.html">Home</a></li>
</ul>
<ul class="nav navbar-nav">
<li class="active"><a href="index.html#datasets">Datasets</a></li>
</ul>
<ul class="nav navbar-nav">
<li class="active"><a href="index.html#algorithms">Algorithms</a></li>
</ul>
<ul class="nav navbar-nav">
<li class="active"><a href="index.html#contact">Contact</a></li>
</ul>
</div><!--/.nav-collapse -->
</div>
</nav>
<div class="container">
<h2>Plots for hnsw(faiss)</h2>
<h3>Recall/Queries per second (1/s)</h3>
<div id="RecallQueries per second (1/s)">
<canvas id="chartRecallQueries per second (1/s)" width="800" height="600"></canvas>
<script>
var ctx = document.getElementById("chartRecallQueries per second (1/s)");
var chart = new Chart(ctx, {
type: "line",
data: { datasets: [
{
label: "fashion-mnist-784-euclidean (k = 10)",
fill: false,
pointStyle: "rect",
borderColor: "rgba(229, 102, 102, 1)",
data: [
{ x: 0.88994 , y: 7159.098667555145, label: "faiss ({'M': 12, 'efConstruction': 500}, ef: 10)" },
{ x: 0.9236000000000001 , y: 5870.275201340464, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 10)" },
{ x: 0.9298400000000001 , y: 5249.999655783198, label: "faiss ({'M': 48, 'efConstruction': 500}, ef: 10)" },
{ x: 0.93191 , y: 5233.271713134684, label: "faiss ({'M': 36, 'efConstruction': 500}, ef: 10)" },
{ x: 0.97223 , y: 5227.62318174408, label: "faiss ({'M': 12, 'efConstruction': 500}, ef: 20)" },
{ x: 0.9831099999999999 , y: 4092.963852204946, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 20)" },
{ x: 0.9857799999999999 , y: 3773.500574081115, label: "faiss ({'M': 48, 'efConstruction': 500}, ef: 20)" },
{ x: 0.9862500000000001 , y: 3771.6193713739913, label: "faiss ({'M': 36, 'efConstruction': 500}, ef: 20)" },
{ x: 0.99382 , y: 3466.0254956701783, label: "faiss ({'M': 12, 'efConstruction': 500}, ef: 40)" },
{ x: 0.99605 , y: 2913.163865328514, label: "faiss ({'M': 16, 'efConstruction': 500}, ef: 40)" },
{ x: 0.9966200000000001 , y: 2816.0579402546177, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 40)" },
{ x: 0.99685 , y: 2626.2843456182645, label: "faiss ({'M': 48, 'efConstruction': 500}, ef: 40)" },
{ x: 0.99748 , y: 2512.016558702902, label: "faiss ({'M': 36, 'efConstruction': 500}, ef: 40)" },
{ x: 0.9984400000000001 , y: 2245.4783044109317, label: "faiss ({'M': 12, 'efConstruction': 500}, ef: 80)" },
{ x: 0.9990399999999999 , y: 1935.2654932751402, label: "faiss ({'M': 16, 'efConstruction': 500}, ef: 80)" },
{ x: 0.9994099999999999 , y: 1820.8791161084462, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 80)" },
{ x: 0.9996600000000001 , y: 1396.2403776166998, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 120)" },
{ x: 0.9996700000000001 , y: 1322.4671867300258, label: "faiss ({'M': 48, 'efConstruction': 500}, ef: 120)" },
{ x: 0.9997999999999999 , y: 1041.7703228349837, label: "faiss ({'M': 16, 'efConstruction': 500}, ef: 200)" },
{ x: 0.9998400000000001 , y: 957.364311890064, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 200)" },
{ x: 0.9999 , y: 585.1060757815643, label: "faiss ({'M': 16, 'efConstruction': 500}, ef: 400)" },
{ x: 0.9999499999999999 , y: 577.8502387971446, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 400)" },
{ x: 0.99996 , y: 530.7836574167128, label: "faiss ({'M': 36, 'efConstruction': 500}, ef: 400)" },
{ x: 0.99997 , y: 376.54273927933764, label: "faiss ({'M': 36, 'efConstruction': 500}, ef: 600)" },
{ x: 0.99999 , y: 163.04192189310092, label: "faiss ({'M': 64, 'efConstruction': 500}, ef: 600)" },
]
},
]},
options: {
responsive: false,
title:{
display:true,
text: 'Recall-Queries per second (1/s) tradeoff - up and to the right is better'
},
scales: {
xAxes: [{
display: true,
type: 'linear',
max: '1',
position: 'bottom',
scaleLabel: {
display: true,
labelString: ' Recall '
}
}],
yAxes: [{
display: true,
type: 'logarithmic',
scaleLabel: {
display: true,
labelString: ' Queries per second (1/s) '
}
}]
}
}
});
function pushOrConcat(base, toPush) {
if (toPush) {
if (Chart.helpers.isArray(toPush)) {
// base = base.concat(toPush);
Array.prototype.push.apply(base, toPush);
} else {
base.push(toPush);
}
}
return base;
}
Chart.Tooltip.prototype.getFooter = function(tooltipItem, data) {
var me = this;
var callbacks = me._options.callbacks;
var item = tooltipItem[0];
var beforeFooter = callbacks.beforeFooter.apply(me, arguments);
var footer = "Parameters: " + data.datasets[item.datasetIndex].data[item.index].label || '';
var afterFooter = callbacks.afterFooter.apply(me, arguments);
var lines = [];
lines = pushOrConcat(lines, beforeFooter);
lines = pushOrConcat(lines, footer);
lines = pushOrConcat(lines, afterFooter);
return lines;
}
</script>
</div>
<h3>Recall/Build time (s)</h3>
<div id="RecallBuild time (s)">
<canvas id="chartRecallBuild time (s)" width="800" height="600"></canvas>
<script>
var ctx = document.getElementById("chartRecallBuild time (s)");
var chart = new Chart(ctx, {
type: "line",
data: { datasets: [
{
label: "fashion-mnist-784-euclidean (k = 10)",
fill: false,
pointStyle: "rect",
borderColor: "rgba(229, 102, 102, 1)",
data: [
{ x: 0.9999 , y: 88.68253111839294, label: "faiss ({'M': 12, 'efConstruction': 500}, ef: 600)" },
{ x: 0.99996 , y: 100.18839025497437, label: "faiss ({'M': 48, 'efConstruction': 500}, ef: 800)" },
{ x: 0.99997 , y: 100.24140977859497, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 800)" },
{ x: 0.99999 , y: 359.2218713760376, label: "faiss ({'M': 64, 'efConstruction': 500}, ef: 600)" },
]
},
]},
options: {
responsive: false,
title:{
display:true,
text: 'Recall-Build time (s) tradeoff - down and to the right is better'
},
scales: {
xAxes: [{
display: true,
type: 'linear',
max: '1',
position: 'bottom',
scaleLabel: {
display: true,
labelString: ' Recall '
}
}],
yAxes: [{
display: true,
type: 'logarithmic',
scaleLabel: {
display: true,
labelString: ' Build time (s) '
}
}]
}
}
});
function pushOrConcat(base, toPush) {
if (toPush) {
if (Chart.helpers.isArray(toPush)) {
// base = base.concat(toPush);
Array.prototype.push.apply(base, toPush);
} else {
base.push(toPush);
}
}
return base;
}
Chart.Tooltip.prototype.getFooter = function(tooltipItem, data) {
var me = this;
var callbacks = me._options.callbacks;
var item = tooltipItem[0];
var beforeFooter = callbacks.beforeFooter.apply(me, arguments);
var footer = "Parameters: " + data.datasets[item.datasetIndex].data[item.index].label || '';
var afterFooter = callbacks.afterFooter.apply(me, arguments);
var lines = [];
lines = pushOrConcat(lines, beforeFooter);
lines = pushOrConcat(lines, footer);
lines = pushOrConcat(lines, afterFooter);
return lines;
}
</script>
</div>
<h3>Recall/Index size (kB)</h3>
<div id="RecallIndex size (kB)">
<canvas id="chartRecallIndex size (kB)" width="800" height="600"></canvas>
<script>
var ctx = document.getElementById("chartRecallIndex size (kB)");
var chart = new Chart(ctx, {
type: "line",
data: { datasets: [
{
label: "fashion-mnist-784-euclidean (k = 10)",
fill: false,
pointStyle: "rect",
borderColor: "rgba(229, 102, 102, 1)",
data: [
{ x: 0.99603 , y: 183964.0, label: "faiss ({'M': 4, 'efConstruction': 500}, ef: 800)" },
{ x: 0.9999 , y: 184028.0, label: "faiss ({'M': 12, 'efConstruction': 500}, ef: 600)" },
{ x: 0.99992 , y: 184080.0, label: "faiss ({'M': 16, 'efConstruction': 500}, ef: 800)" },
{ x: 0.99997 , y: 184196.0, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 800)" },
{ x: 0.99999 , y: 230608.0, label: "faiss ({'M': 64, 'efConstruction': 500}, ef: 600)" },
]
},
]},
options: {
responsive: false,
title:{
display:true,
text: 'Recall-Index size (kB) tradeoff - down and to the right is better'
},
scales: {
xAxes: [{
display: true,
type: 'linear',
max: '1',
position: 'bottom',
scaleLabel: {
display: true,
labelString: ' Recall '
}
}],
yAxes: [{
display: true,
type: 'logarithmic',
scaleLabel: {
display: true,
labelString: ' Index size (kB) '
}
}]
}
}
});
function pushOrConcat(base, toPush) {
if (toPush) {
if (Chart.helpers.isArray(toPush)) {
// base = base.concat(toPush);
Array.prototype.push.apply(base, toPush);
} else {
base.push(toPush);
}
}
return base;
}
Chart.Tooltip.prototype.getFooter = function(tooltipItem, data) {
var me = this;
var callbacks = me._options.callbacks;
var item = tooltipItem[0];
var beforeFooter = callbacks.beforeFooter.apply(me, arguments);
var footer = "Parameters: " + data.datasets[item.datasetIndex].data[item.index].label || '';
var afterFooter = callbacks.afterFooter.apply(me, arguments);
var lines = [];
lines = pushOrConcat(lines, beforeFooter);
lines = pushOrConcat(lines, footer);
lines = pushOrConcat(lines, afterFooter);
return lines;
}
</script>
</div>
<h3>Recall/Distance computations</h3>
<div id="RecallDistance computations">
<canvas id="chartRecallDistance computations" width="800" height="600"></canvas>
<script>
var ctx = document.getElementById("chartRecallDistance computations");
var chart = new Chart(ctx, {
type: "line",
data: { datasets: [
{
label: "fashion-mnist-784-euclidean (k = 10)",
fill: false,
pointStyle: "rect",
borderColor: "rgba(229, 102, 102, 1)",
data: [
]
},
]},
options: {
responsive: false,
title:{
display:true,
text: 'Recall-Distance computations tradeoff - down and to the right is better'
},
scales: {
xAxes: [{
display: true,
type: 'linear',
max: '1',
position: 'bottom',
scaleLabel: {
display: true,
labelString: ' Recall '
}
}],
yAxes: [{
display: true,
type: 'logarithmic',
scaleLabel: {
display: true,
labelString: ' Distance computations '
}
}]
}
}
});
function pushOrConcat(base, toPush) {
if (toPush) {
if (Chart.helpers.isArray(toPush)) {
// base = base.concat(toPush);
Array.prototype.push.apply(base, toPush);
} else {
base.push(toPush);
}
}
return base;
}
Chart.Tooltip.prototype.getFooter = function(tooltipItem, data) {
var me = this;
var callbacks = me._options.callbacks;
var item = tooltipItem[0];
var beforeFooter = callbacks.beforeFooter.apply(me, arguments);
var footer = "Parameters: " + data.datasets[item.datasetIndex].data[item.index].label || '';
var afterFooter = callbacks.afterFooter.apply(me, arguments);
var lines = [];
lines = pushOrConcat(lines, beforeFooter);
lines = pushOrConcat(lines, footer);
lines = pushOrConcat(lines, afterFooter);
return lines;
}
</script>
</div>
<h3>Relative Error/Queries per second (1/s)</h3>
<div id="Relative ErrorQueries per second (1/s)">
<canvas id="chartRelative ErrorQueries per second (1/s)" width="800" height="600"></canvas>
<script>
var ctx = document.getElementById("chartRelative ErrorQueries per second (1/s)");
var chart = new Chart(ctx, {
type: "line",
data: { datasets: [
{
label: "fashion-mnist-784-euclidean (k = 10)",
fill: false,
pointStyle: "rect",
borderColor: "rgba(229, 102, 102, 1)",
data: [
{ x: 1.0056425510498765 , y: 7159.098667555145, label: "faiss ({'M': 12, 'efConstruction': 500}, ef: 10)" },
{ x: 1.0037391093085775 , y: 5870.275201340464, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 10)" },
{ x: 1.0034327318504224 , y: 5249.999655783198, label: "faiss ({'M': 48, 'efConstruction': 500}, ef: 10)" },
{ x: 1.003043984696001 , y: 5233.271713134684, label: "faiss ({'M': 36, 'efConstruction': 500}, ef: 10)" },
{ x: 1.0012138799138215 , y: 5227.62318174408, label: "faiss ({'M': 12, 'efConstruction': 500}, ef: 20)" },
{ x: 1.000796939320152 , y: 4092.963852204946, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 20)" },
{ x: 1.000653979381807 , y: 3773.500574081115, label: "faiss ({'M': 48, 'efConstruction': 500}, ef: 20)" },
{ x: 1.000571078058097 , y: 3771.6193713739913, label: "faiss ({'M': 36, 'efConstruction': 500}, ef: 20)" },
{ x: 1.000297052454723 , y: 3466.0254956701783, label: "faiss ({'M': 12, 'efConstruction': 500}, ef: 40)" },
{ x: 1.0002107256416433 , y: 2913.163865328514, label: "faiss ({'M': 16, 'efConstruction': 500}, ef: 40)" },
{ x: 1.000156409444673 , y: 2626.2843456182645, label: "faiss ({'M': 48, 'efConstruction': 500}, ef: 40)" },
{ x: 1.0001154589227126 , y: 2512.016558702902, label: "faiss ({'M': 36, 'efConstruction': 500}, ef: 40)" },
{ x: 1.000057982595207 , y: 1935.2654932751402, label: "faiss ({'M': 16, 'efConstruction': 500}, ef: 80)" },
{ x: 1.0000456996075902 , y: 1820.8791161084462, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 80)" },
{ x: 1.0000258087001117 , y: 1396.2403776166998, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 120)" },
{ x: 1.00002187321028 , y: 1371.6267874535135, label: "faiss ({'M': 16, 'efConstruction': 500}, ef: 120)" },
{ x: 1.0000120189894703 , y: 1041.7703228349837, label: "faiss ({'M': 16, 'efConstruction': 500}, ef: 200)" },
{ x: 1.0000100950254163 , y: 957.364311890064, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 200)" },
{ x: 1.0000083041224785 , y: 585.1060757815643, label: "faiss ({'M': 16, 'efConstruction': 500}, ef: 400)" },
{ x: 1.000002702008794 , y: 577.8502387971446, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 400)" },
{ x: 1.000000825137492 , y: 376.54273927933764, label: "faiss ({'M': 36, 'efConstruction': 500}, ef: 600)" },
{ x: 1.0000001107964964 , y: 139.9774208155414, label: "faiss ({'M': 96, 'efConstruction': 500}, ef: 600)" },
]
},
]},
options: {
responsive: false,
title:{
display:true,
text: 'Relative Error-Queries per second (1/s) tradeoff - up and to the left is better'
},
scales: {
xAxes: [{
display: true,
type: 'linear',
max: '1',
position: 'bottom',
scaleLabel: {
display: true,
labelString: ' Relative Error '
}
}],
yAxes: [{
display: true,
type: 'logarithmic',
scaleLabel: {
display: true,
labelString: ' Queries per second (1/s) '
}
}]
}
}
});
function pushOrConcat(base, toPush) {
if (toPush) {
if (Chart.helpers.isArray(toPush)) {
// base = base.concat(toPush);
Array.prototype.push.apply(base, toPush);
} else {
base.push(toPush);
}
}
return base;
}
Chart.Tooltip.prototype.getFooter = function(tooltipItem, data) {
var me = this;
var callbacks = me._options.callbacks;
var item = tooltipItem[0];
var beforeFooter = callbacks.beforeFooter.apply(me, arguments);
var footer = "Parameters: " + data.datasets[item.datasetIndex].data[item.index].label || '';
var afterFooter = callbacks.afterFooter.apply(me, arguments);
var lines = [];
lines = pushOrConcat(lines, beforeFooter);
lines = pushOrConcat(lines, footer);
lines = pushOrConcat(lines, afterFooter);
return lines;
}
</script>
</div>
<h3>Recall/Candidates generated</h3>
<div id="RecallCandidates generated">
<canvas id="chartRecallCandidates generated" width="800" height="600"></canvas>
<script>
var ctx = document.getElementById("chartRecallCandidates generated");
var chart = new Chart(ctx, {
type: "line",
data: { datasets: [
{
label: "fashion-mnist-784-euclidean (k = 10)",
fill: false,
pointStyle: "rect",
borderColor: "rgba(229, 102, 102, 1)",
data: [
{ x: 0.99999 , y: 10.0, label: "faiss ({'M': 64, 'efConstruction': 500}, ef: 600)" },
]
},
]},
options: {
responsive: false,
title:{
display:true,
text: 'Recall-Candidates generated tradeoff - down and to the right is better'
},
scales: {
xAxes: [{
display: true,
type: 'linear',
max: '1',
position: 'bottom',
scaleLabel: {
display: true,
labelString: ' Recall '
}
}],
yAxes: [{
display: true,
type: 'logarithmic',
scaleLabel: {
display: true,
labelString: ' Candidates generated '
}
}]
}
}
});
function pushOrConcat(base, toPush) {
if (toPush) {
if (Chart.helpers.isArray(toPush)) {
// base = base.concat(toPush);
Array.prototype.push.apply(base, toPush);
} else {
base.push(toPush);
}
}
return base;
}
Chart.Tooltip.prototype.getFooter = function(tooltipItem, data) {
var me = this;
var callbacks = me._options.callbacks;
var item = tooltipItem[0];
var beforeFooter = callbacks.beforeFooter.apply(me, arguments);
var footer = "Parameters: " + data.datasets[item.datasetIndex].data[item.index].label || '';
var afterFooter = callbacks.afterFooter.apply(me, arguments);
var lines = [];
lines = pushOrConcat(lines, beforeFooter);
lines = pushOrConcat(lines, footer);
lines = pushOrConcat(lines, afterFooter);
return lines;
}
</script>
</div>
<h3>Recall/Index size (kB)/Queries per second (s)</h3>
<div id="RecallIndex size (kB)/Queries per second (s)">
<canvas id="chartRecallIndex size (kB)/Queries per second (s)" width="800" height="600"></canvas>
<script>
var ctx = document.getElementById("chartRecallIndex size (kB)/Queries per second (s)");
var chart = new Chart(ctx, {
type: "line",
data: { datasets: [
{
label: "fashion-mnist-784-euclidean (k = 10)",
fill: false,
pointStyle: "rect",
borderColor: "rgba(229, 102, 102, 1)",
data: [
{ x: 0.88994 , y: 25.705470555114747, label: "faiss ({'M': 12, 'efConstruction': 500}, ef: 10)" },
{ x: 0.9236000000000001 , y: 31.377745281505586, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 10)" },
{ x: 0.97223 , y: 35.20299639091491, label: "faiss ({'M': 12, 'efConstruction': 500}, ef: 20)" },
{ x: 0.9831099999999999 , y: 45.003084965133674, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 20)" },
{ x: 0.99382 , y: 53.094820055389405, label: "faiss ({'M': 12, 'efConstruction': 500}, ef: 40)" },
{ x: 0.99605 , y: 63.18903038406373, label: "faiss ({'M': 16, 'efConstruction': 500}, ef: 40)" },
{ x: 0.9966200000000001 , y: 65.40916554555893, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 40)" },
{ x: 0.99685 , y: 78.72414894638061, label: "faiss ({'M': 48, 'efConstruction': 500}, ef: 40)" },
{ x: 0.99748 , y: 80.13322973632812, label: "faiss ({'M': 36, 'efConstruction': 500}, ef: 40)" },
{ x: 0.9984400000000001 , y: 81.95492231588362, label: "faiss ({'M': 12, 'efConstruction': 500}, ef: 80)" },
{ x: 0.9990399999999999 , y: 95.11873210144041, label: "faiss ({'M': 16, 'efConstruction': 500}, ef: 80)" },
{ x: 0.9994099999999999 , y: 101.15773110389709, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 80)" },
{ x: 0.9996600000000001 , y: 131.9228429093361, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 120)" },
{ x: 0.9996700000000001 , y: 156.3380944908142, label: "faiss ({'M': 48, 'efConstruction': 500}, ef: 120)" },
{ x: 0.9997999999999999 , y: 176.69921667480466, label: "faiss ({'M': 16, 'efConstruction': 500}, ef: 200)" },
{ x: 0.9998400000000001 , y: 192.3990665960312, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 200)" },
{ x: 0.9999 , y: 314.60961972427367, label: "faiss ({'M': 16, 'efConstruction': 500}, ef: 400)" },
{ x: 0.9999499999999999 , y: 318.7607923870087, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 400)" },
{ x: 0.99996 , y: 379.2430252651215, label: "faiss ({'M': 36, 'efConstruction': 500}, ef: 400)" },
{ x: 0.99997 , y: 534.5900451705932, label: "faiss ({'M': 36, 'efConstruction': 500}, ef: 600)" },
{ x: 0.99999 , y: 1414.4092348911286, label: "faiss ({'M': 64, 'efConstruction': 500}, ef: 600)" },
]
},
]},
options: {
responsive: false,
title:{
display:true,
text: 'Recall-Index size (kB)/Queries per second (s) tradeoff - down and to the right is better'
},
scales: {
xAxes: [{
display: true,
type: 'linear',
max: '1',
position: 'bottom',
scaleLabel: {
display: true,
labelString: ' Recall '
}
}],
yAxes: [{
display: true,
type: 'logarithmic',
scaleLabel: {
display: true,
labelString: ' Index size (kB)/Queries per second (s) '
}
}]
}
}
});
function pushOrConcat(base, toPush) {
if (toPush) {
if (Chart.helpers.isArray(toPush)) {
// base = base.concat(toPush);
Array.prototype.push.apply(base, toPush);
} else {
base.push(toPush);
}
}
return base;
}
Chart.Tooltip.prototype.getFooter = function(tooltipItem, data) {
var me = this;
var callbacks = me._options.callbacks;
var item = tooltipItem[0];
var beforeFooter = callbacks.beforeFooter.apply(me, arguments);
var footer = "Parameters: " + data.datasets[item.datasetIndex].data[item.index].label || '';
var afterFooter = callbacks.afterFooter.apply(me, arguments);
var lines = [];
lines = pushOrConcat(lines, beforeFooter);
lines = pushOrConcat(lines, footer);
lines = pushOrConcat(lines, afterFooter);
return lines;
}
</script>
</div>
<h3>Epsilon 0.01 Recall/Queries per second (1/s)</h3>
<div id="Epsilon 0.01 RecallQueries per second (1/s)">
<canvas id="chartEpsilon 0.01 RecallQueries per second (1/s)" width="800" height="600"></canvas>
<script>
var ctx = document.getElementById("chartEpsilon 0.01 RecallQueries per second (1/s)");
var chart = new Chart(ctx, {
type: "line",
data: { datasets: [
{
label: "fashion-mnist-784-euclidean (k = 10)",
fill: false,
pointStyle: "rect",
borderColor: "rgba(229, 102, 102, 1)",
data: [
{ x: 0.9515499999999999 , y: 7159.098667555145, label: "faiss ({'M': 12, 'efConstruction': 500}, ef: 10)" },
{ x: 0.9728 , y: 5870.275201340464, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 10)" },
{ x: 0.9762600000000001 , y: 5249.999655783198, label: "faiss ({'M': 48, 'efConstruction': 500}, ef: 10)" },
{ x: 0.9788600000000001 , y: 5233.271713134684, label: "faiss ({'M': 36, 'efConstruction': 500}, ef: 10)" },
{ x: 0.9940300000000001 , y: 5227.62318174408, label: "faiss ({'M': 12, 'efConstruction': 500}, ef: 20)" },
{ x: 0.99678 , y: 4092.963852204946, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 20)" },
{ x: 0.9976 , y: 3773.500574081115, label: "faiss ({'M': 48, 'efConstruction': 500}, ef: 20)" },
{ x: 0.99774 , y: 3771.6193713739913, label: "faiss ({'M': 36, 'efConstruction': 500}, ef: 20)" },
{ x: 0.9991300000000001 , y: 3466.0254956701783, label: "faiss ({'M': 12, 'efConstruction': 500}, ef: 40)" },
{ x: 0.99946 , y: 2913.163865328514, label: "faiss ({'M': 16, 'efConstruction': 500}, ef: 40)" },
{ x: 0.99954 , y: 2626.2843456182645, label: "faiss ({'M': 48, 'efConstruction': 500}, ef: 40)" },
{ x: 0.9997400000000001 , y: 2512.016558702902, label: "faiss ({'M': 36, 'efConstruction': 500}, ef: 40)" },
{ x: 0.99977 , y: 2245.4783044109317, label: "faiss ({'M': 12, 'efConstruction': 500}, ef: 80)" },
{ x: 0.9999499999999999 , y: 1935.2654932751402, label: "faiss ({'M': 16, 'efConstruction': 500}, ef: 80)" },
{ x: 0.99997 , y: 1820.8791161084462, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 80)" },
{ x: 0.9999800000000001 , y: 1396.2403776166998, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 120)" },
{ x: 1.0 , y: 1371.6267874535135, label: "faiss ({'M': 16, 'efConstruction': 500}, ef: 120)" },
]
},
]},
options: {
responsive: false,
title:{
display:true,
text: 'Epsilon 0.01 Recall-Queries per second (1/s) tradeoff - up and to the right is better'
},
scales: {
xAxes: [{
display: true,
type: 'linear',
max: '1',
position: 'bottom',
scaleLabel: {
display: true,
labelString: ' Epsilon 0.01 Recall '
}
}],
yAxes: [{
display: true,
type: 'logarithmic',
scaleLabel: {
display: true,
labelString: ' Queries per second (1/s) '
}
}]
}
}
});
function pushOrConcat(base, toPush) {
if (toPush) {
if (Chart.helpers.isArray(toPush)) {
// base = base.concat(toPush);
Array.prototype.push.apply(base, toPush);
} else {
base.push(toPush);
}
}
return base;
}
Chart.Tooltip.prototype.getFooter = function(tooltipItem, data) {
var me = this;
var callbacks = me._options.callbacks;
var item = tooltipItem[0];
var beforeFooter = callbacks.beforeFooter.apply(me, arguments);
var footer = "Parameters: " + data.datasets[item.datasetIndex].data[item.index].label || '';
var afterFooter = callbacks.afterFooter.apply(me, arguments);
var lines = [];
lines = pushOrConcat(lines, beforeFooter);
lines = pushOrConcat(lines, footer);
lines = pushOrConcat(lines, afterFooter);
return lines;
}
</script>
</div>
<h3>Epsilon 0.1 Recall/Queries per second (1/s)</h3>
<div id="Epsilon 0.1 RecallQueries per second (1/s)">
<canvas id="chartEpsilon 0.1 RecallQueries per second (1/s)" width="800" height="600"></canvas>
<script>
var ctx = document.getElementById("chartEpsilon 0.1 RecallQueries per second (1/s)");
var chart = new Chart(ctx, {
type: "line",
data: { datasets: [
{
label: "fashion-mnist-784-euclidean (k = 10)",
fill: false,
pointStyle: "rect",
borderColor: "rgba(229, 102, 102, 1)",
data: [
{ x: 0.9988699999999999 , y: 7159.098667555145, label: "faiss ({'M': 12, 'efConstruction': 500}, ef: 10)" },
{ x: 0.99924 , y: 5870.275201340464, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 10)" },
{ x: 0.99943 , y: 5249.999655783198, label: "faiss ({'M': 48, 'efConstruction': 500}, ef: 10)" },
{ x: 0.99979 , y: 5233.271713134684, label: "faiss ({'M': 36, 'efConstruction': 500}, ef: 10)" },
{ x: 0.99983 , y: 5227.62318174408, label: "faiss ({'M': 12, 'efConstruction': 500}, ef: 20)" },
{ x: 0.99986 , y: 4092.963852204946, label: "faiss ({'M': 24, 'efConstruction': 500}, ef: 20)" },
{ x: 0.9999 , y: 3773.500574081115, label: "faiss ({'M': 48, 'efConstruction': 500}, ef: 20)" },
{ x: 0.9999100000000001 , y: 3771.6193713739913, label: "faiss ({'M': 36, 'efConstruction': 500}, ef: 20)" },
{ x: 1.0 , y: 3466.0254956701783, label: "faiss ({'M': 12, 'efConstruction': 500}, ef: 40)" },
]
},
]},
options: {
responsive: false,
title:{
display:true,
text: 'Epsilon 0.1 Recall-Queries per second (1/s) tradeoff - up and to the right is better'
},
scales: {
xAxes: [{
display: true,
type: 'linear',
max: '1',
position: 'bottom',
scaleLabel: {
display: true,
labelString: ' Epsilon 0.1 Recall '
}
}],
yAxes: [{
display: true,
type: 'logarithmic',
scaleLabel: {
display: true,
labelString: ' Queries per second (1/s) '
}
}]
}
}
});
function pushOrConcat(base, toPush) {
if (toPush) {
if (Chart.helpers.isArray(toPush)) {
// base = base.concat(toPush);
Array.prototype.push.apply(base, toPush);
} else {
base.push(toPush);
}
}
return base;
}
Chart.Tooltip.prototype.getFooter = function(tooltipItem, data) {
var me = this;
var callbacks = me._options.callbacks;
var item = tooltipItem[0];
var beforeFooter = callbacks.beforeFooter.apply(me, arguments);
var footer = "Parameters: " + data.datasets[item.datasetIndex].data[item.index].label || '';
var afterFooter = callbacks.afterFooter.apply(me, arguments);
var lines = [];
lines = pushOrConcat(lines, beforeFooter);
lines = pushOrConcat(lines, footer);
lines = pushOrConcat(lines, afterFooter);
return lines;
}
</script>
</div>
<hr />
<hr />
<div id="contact">
<h2>Contact</h2>
<p>ANN-Benchmarks has been developed by Martin Aumueller ([email protected]), Erik Bernhardsson ([email protected]), and Alec Faitfull ([email protected]). Please use
<a href="https://github.com/erikbern/ann-benchmarks/">Github</a> to submit your implementation or improvements.</p>
</div>
</div>
</body>
</html>