summary.html

{% extends "general.html" %}
{% block content %}
        <div class="container">
            <h1>Info</h1>
            <p>ANN-Benchmarks is a benchmarking environment for approximate nearest neighbor algorithms search. This website contains the current benchmarking results. Please visit <a href="http://github.com/erikbern/ann-benchmarks/">http://github.com/erikbern/ann-benchmarks/</a> to get an overview over evaluated data sets and algorithms. Make a pull request on <a href="http://github.com/erikbern/ann-benchmarks/">Github</a> to add your own code or improvements to the
            benchmarking system.
            </p>
            <div id="results">
            <h1>Benchmarking Results</h1>
            <p>Results are split by distance measure and dataset. In the bottom, you can find an overview of an algorithm's performance on all datasets. Each dataset is annoted
            by <em>(k = ...)</em>, the number of nearest neighbors an algorithm was supposed to return. The plot shown depicts <em>Recall</em> (the fraction
            of true nearest neighbors found, on average over all queries) against <em>Queries per second</em>.  Clicking on a plot reveils detailled interactive plots, including
            approximate recall, index size, and build time.</p>
            {% for type in ['non-batch', 'batch'] %}
                {% if len(dataset_with_distances[type]) > 0 %}
                    {% if type == 'batch' %}
                        <h2>Benchmarks for Batched Queries</h2>
                    {% else %}
                        <h2>Benchmarks for Single Queries</h2>
                    {% endif %}

                    <h2 id ="datasets">Results by Dataset</h2>
                    {% for distance_data in dataset_with_distances[type] %}
                        <h3>Distance: {{ distance_data.name }} </h3>
                        {% for entry in distance_data.entries %}
                            <a href="./{{ entry.name }}.html">
                            <div class="row" id="{{entry.name}}">
                                <div class = "col-md-4 bg-success">
                                    <h4>{{entry.desc}}</h4>
                            </div>
                            <div class = "col-md-8">
                                <img class = "img-responsive" src="{{ entry.name }}.png" />
                            </div>
                        </div>
                        </a>
                        <hr />
                        {% endfor %}
                    {% endfor %}
                    <h2 id="algorithms">Results by Algorithm</h2>
                    <ul class="list-inline"><b>Algorithms:</b>
                        {% for algo in algorithms[type].keys() %}
                            <li><a href="#{{algo}}">{{algo}}</a></li>
                        {% endfor %}
                    </ul>
                    {% for algo in algorithms[type].keys()%}
                    <a href="./{{ algo }}.html">
                        <div class="row" id="{{algo}}">
                            <div class = "col-md-4 bg-success">
                                <h4>{{algo}}</h4>
                        </div>
                        <div class = "col-md-8">
                            <img class = "img-responsive" src="{{ algo }}.png" />
                        </div>
                    </div>
                    </a>
                    <hr />
                    {% endfor %}
                {% endif %}
            {% endfor %}
{% endblock %}