mirror of
https://github.com/deepset-ai/haystack.git
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7fdb85d63a
* Skeleton of doc website * Flesh out documentation pages * Split concepts into their own rst files * add tutorial rsts * Consistent level 1 markdown headers in tutorials * Change theme to readthedocs * Turn bullet points into prose * Populate sections * Add more text * Add more sphinx files * Add more retriever documentation * combined all documenations in one structure * rename of src to _src as it was ignored by git * Incorporate MP2's changes * add benchmark bar charts * Adapt docstrings in Readers * Improvements to intro, creation of glossary * Adapt docstrings in Retrievers * Adapt docstrings in Finder * Adapt Docstrings of Finder * Updates to text * Edit text * update doc strings * proof read tutorials * Edit text * Edit text * Add stacked chart * populate graph with data * Switch Documentation to markdown (#386) * add way to generate markdown files to sphinx * changed from rst to markdown and extended sphinx for it * fix spelling * Clean titles * delete file * change spelling * add sections to document store usage * add basic rest api docs * fix readme in setup.py * Update Tutorials * Change section names * add windows note to pip install * update intro * new renderer for markdown files * Fix typos * delete dpr_utils.py * fix windows note in get started * Fix docstrings * deleted rest api docs in api * fixed typo * Fix docstring * revert readme to rst * Fix readme * Update setup.py Co-authored-by: deepset <deepset@Crenolape.localdomain> Co-authored-by: PiffPaffM <markuspaff.mp@gmail.com> Co-authored-by: Bogdan Kostić <bogdankostic@web.de> Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai>
49 lines
2.0 KiB
HTML
49 lines
2.0 KiB
HTML
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<html>
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<head>
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<script type="text/javascript" src="https://www.gstatic.com/charts/loader.js"></script>
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<script type="text/javascript">
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google.charts.load('current', {'packages':['bar']});
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google.charts.setOnLoadCallback(drawChart);
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function drawChart() {
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var data = google.visualization.arrayToDataTable(
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[
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["Name", "preproc","language_model","prediction_head"],
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["BERT-base (irrelevant)", 8.7348466796875,16.9350302734375,93.34227734375],
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["BERT-base (relevant)", 8.72920361328125,17.01487744140625,0.6795068359375023],
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["MiniLM (irrelevant)", 11.3310205078125,5.710112304687506,68.3330791015625],
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["MiniLM (relevant)", 11.351005859375,5.700729980468751,1.5442099609375006],
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["RoBERTa-base (irrelevant)", 11.422080566406253,14.346810058593748,1.2042656250000014],
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["RoBERTa-base (relevant)", 11.39172119140625,14.487136230468751,1.0287207031250034],
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["BERT-large (irrelevant)", 8.57398193359375,44.95627490234374,1.134274414062503],
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["BERT-large (relevant)", 8.494043945312502,45.1757705078125,0.9535410156250066],
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["XLMR-large (irrelevant)", 6.914632568359375,48.34647045898438,0.7067622070312467],
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["XLMR-large (relevant)", 6.85790966796875,48.516737792968755,0.8400478515624954],
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]);
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var options = {
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chart: {
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title: 'Reader Performance',
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subtitle: 'Time and Accuracy Benchmarks',
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},
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bars: 'horizontal', // Required for Material Bar Charts.
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isStacked: true,
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height: 300,
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legend: {position: 'top', maxLines: 3},
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hAxis: {minValue: 0}
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};
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var chart = new google.charts.Bar(document.getElementById('barchart_material'));
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chart.draw(data, google.charts.Bar.convertOptions(options));
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}
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</script>
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</head>
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<body>
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<div id="barchart_material" style="width: 900px; height: 500px;"></div>
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</body>
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</html>
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