You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@lucene.apache.org by ct...@apache.org on 2021/01/28 16:33:32 UTC
svn commit: r1070647 [5/35] - in
/websites/production/lucene/content/solr/guide/8_8: ./
images/math-expressions/ meta-docs/
Modified: websites/production/lucene/content/solr/guide/8_8/curve-fitting.html
==============================================================================
--- websites/production/lucene/content/solr/guide/8_8/curve-fitting.html (original)
+++ websites/production/lucene/content/solr/guide/8_8/curve-fitting.html Thu Jan 28 16:33:25 2021
@@ -8,7 +8,7 @@
<meta name="description" content="">
<meta name="keywords" content=" ">
-<title>Curve Fitting | Apache Solr Reference Guide 8.8-DRAFT</title>
+<title>Curve Fitting | Apache Solr Reference Guide 8.8</title>
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.1.3/css/bootstrap.min.css" integrity="sha384-MCw98/SFnGE8fJT3GXwEOngsV7Zt27NXFoaoApmYm81iuXoPkFOJwJ8ERdknLPMO" crossorigin="anonymous">
<link rel="stylesheet" type="text/css" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.5.0/css/font-awesome.min.css">
@@ -68,7 +68,7 @@
</script>
</head>
-<body class="DRAFT" id="curve-fitting">
+<body class="" id="curve-fitting">
<div class="container-fluid">
<div class="row">
<nav id="sidebar" class="col-2 d-none d-md-block">
@@ -76,11 +76,6 @@
<div class="sidebar-header">
<div class="sidebarTitle text-center">Apache Solr Reference Guide</div>
- <p class="draft-notice">
- This is an unofficial DRAFT of the Guide for 8.8.
- <a href="https://lucene.apache.org/solr/guide/">Official releases are available from the Solr website</a>.
- </p>
-
<!--comment out this block if you want to hide search-->
<!--start search-->
@@ -872,11 +867,36 @@
</li>
<li class="sb-level2">
- <a href="math-expressions.html">Math Expressions</a>
+ <a href="math-expressions.html">Streaming Expressions and Math Expressions</a>
<ul>
<li class="sb-level3">
+ <a href="visualization.html">Visualization</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="math-start.html">Getting Started</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="loading.html">Loading Data</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="search-sample.html">Searching, Sampling and Aggregation</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="transform.html">Transforming Data</a>
+
+ </li>
+
+ <li class="sb-level3">
<a href="scalar-math.html">Scalar Math</a>
</li>
@@ -897,12 +917,12 @@
</li>
<li class="sb-level3">
- <a href="vectorization.html">Streams and Vectorization</a>
+ <a href="term-vectors.html">Text Analysis and Term Vectors</a>
</li>
<li class="sb-level3">
- <a href="term-vectors.html">Text Analysis and Term Vectors</a>
+ <a href="probability-distributions.html">Probability Distributions</a>
</li>
@@ -912,12 +932,12 @@
</li>
<li class="sb-level3">
- <a href="probability-distributions.html">Probability Distributions</a>
+ <a href="regression.html">Linear Regression</a>
</li>
<li class="sb-level3">
- <a href="simulations.html">Monte Carlo Simulations</a>
+ <a href="curve-fitting.html">Curve Fitting</a>
</li>
@@ -927,32 +947,32 @@
</li>
<li class="sb-level3">
- <a href="regression.html">Linear Regression</a>
+ <a href="numerical-analysis.html">Interpolation, Derivatives and Integrals</a>
</li>
<li class="sb-level3">
- <a href="numerical-analysis.html">Interpolation, Derivatives and Integrals</a>
+ <a href="dsp.html">Digital Signal Processing</a>
</li>
<li class="sb-level3">
- <a href="curve-fitting.html">Curve Fitting</a>
+ <a href="simulations.html">Monte Carlo Simulations</a>
</li>
<li class="sb-level3">
- <a href="dsp.html">Digital Signal Processing</a>
+ <a href="machine-learning.html">Machine Learning</a>
</li>
<li class="sb-level3">
- <a href="machine-learning.html">Machine Learning</a>
+ <a href="computational-geometry.html">Computational Geometry</a>
</li>
<li class="sb-level3">
- <a href="computational-geometry.html">Computational Geometry</a>
+ <a href="logs.html">Log Analytics</a>
</li>
@@ -1656,174 +1676,75 @@
<ul class="sectlevel1">
<li><a href="#polynomial-curve-fitting">Polynomial Curve Fitting</a>
<ul class="sectlevel2">
-<li><a href="#prediction-derivatives-and-integrals">Prediction, Derivatives and Integrals</a></li>
-</ul>
-</li>
-<li><a href="#harmonic-curve-fitting">Harmonic Curve Fitting</a>
-<ul class="sectlevel2">
-<li><a href="#interpolation-and-extrapolation">Interpolation and Extrapolation</a></li>
+<li><a href="#residuals">Residuals</a></li>
</ul>
</li>
<li><a href="#gaussian-curve-fitting">Gaussian Curve Fitting</a></li>
+<li><a href="#harmonic-curve-fitting">Harmonic Curve Fitting</a></li>
</ul>
</nav>
<section class="content">
- <section id="preamble" aria-label="Preamble"><p>These functions support constructing a curve.</p></section>
+ <section id="preamble" aria-label="Preamble"><p>These functions support constructing a curve through bivariate non-linear data.</p></section>
<section class="sect1"><h2 id="polynomial-curve-fitting">Polynomial Curve Fitting</h2><p>The <code>polyfit</code> function is a general purpose curve fitter used to model
the non-linear relationship between two random variables.</p>
<p>The <code>polyfit</code> function is passed x- and y-axes and fits a smooth curve to the data.
If only a single array is provided it is treated as the y-axis and a sequence is generated
-for the x-axis.</p>
-<p>The <code>polyfit</code> function also has a parameter the specifies the degree of the polynomial. The higher
+for the x-axis. A third parameter can be added that specifies the degree of the polynomial. If the degree is
+not provided a 3 degree polynomial is used by default. The higher
the degree the more curves that can be modeled.</p>
-<p>The example below uses the <code>polyfit</code> function to fit a curve to an array using
-a 3 degree polynomial. The fitted curve is then subtracted from the original curve. The output
-shows the error between the fitted curve and the original curve, known as the residuals.
-The output also includes the sum-of-squares of the residuals which provides a measure
-of how large the error is.</p>
-<div class="listingblock"><pre class="rouge highlight"><code class="language-text" data-lang="text"><pre class="highlight"><code>let(echo="residuals, sumSqError",
- y=array(0, 1, 2, 3, 4, 5.7, 6, 7, 6, 5, 5, 3, 2, 1, 0),
- curve=polyfit(y, 3),
- residuals=ebeSubtract(y, curve),
- sumSqError=sumSq(residuals))</code></pre></code></pre></div>
-<p>When this expression is sent to the <code>/stream</code> handler it
-responds with:</p>
-<div class="listingblock"><pre class="rouge highlight"><code class="language-json" data-lang="json"><pre class="highlight"><code><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"result-set"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"docs"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="background-color: #f8f8f8">[</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"residuals"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="background-color: #f8f8f8">[</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">0.5886274509803899</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-0.0746078431372561</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-0.49492135315664765</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-0.6689571213100631</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-0.5933591898297781</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">0.4352283990519288</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">0.32016160310277897</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">1.1647963800904968</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">0.272488687782805</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-0.3534055160525744</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">0.2904697263520779</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-0.7925296272355089</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-0.5990476190476182</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-0.12572829131652274</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">0.6307843137254909</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">],</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"sumSqError"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="color: #009999">4.7294282482223595</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">},</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"EOF"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="color: #000000;font-weight: bold">true</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"RESPONSE_TIME"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="color: #009999">0</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">}</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">]</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">}</span><span style="color: #bbbbbb">
-</span><span style="background-color: #f8f8f8">}</span></code></pre></code></pre></div>
-<p>In the next example the curve is fit using a 5 degree polynomial. Notice that the curve
-is fit closer, shown by the smaller residuals and lower value for the sum-of-squares of the
-residuals. This is because the higher polynomial produced a closer fit.</p>
-<div class="listingblock"><pre class="rouge highlight"><code class="language-text" data-lang="text"><pre class="highlight"><code>let(echo="residuals, sumSqError",
- y=array(0, 1, 2, 3, 4, 5.7, 6, 7, 6, 5, 5, 3, 2, 1, 0),
- curve=polyfit(y, 5),
- residuals=ebeSubtract(y, curve),
- sumSqError=sumSq(residuals))</code></pre></code></pre></div>
-<p>When this expression is sent to the <code>/stream</code> handler it
-responds with:</p>
-<div class="listingblock"><pre class="rouge highlight"><code class="language-json" data-lang="json"><pre class="highlight"><code><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"result-set"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"docs"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="background-color: #f8f8f8">[</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"residuals"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="background-color: #f8f8f8">[</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-0.12337461300309674</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">0.22708978328173413</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">0.12266015718028167</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-0.16502738747320755</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-0.41142804563857105</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">0.2603044014808713</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-0.12128970101106162</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">0.6234168308471704</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-0.1754692675745293</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-0.5379689969473249</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">0.4651616185671843</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-0.288175756132409</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">0.027970945463215102</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">0.18699690402476687</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-0.09086687306501587</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">],</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"sumSqError"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="color: #009999">1.413089480179252</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">},</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"EOF"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="color: #000000;font-weight: bold">true</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"RESPONSE_TIME"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="color: #009999">0</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">}</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">]</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">}</span><span style="color: #bbbbbb">
-</span><span style="background-color: #f8f8f8">}</span></code></pre></code></pre></div>
-<section class="sect2"><h3 id="prediction-derivatives-and-integrals">Prediction, Derivatives and Integrals</h3><p>The <code>polyfit</code> function returns a function that can be used with the <code>predict</code>
-function.</p>
-<p>In the example below the x-axis is included for clarity.
-The <code>polyfit</code> function returns a function for the fitted curve.
-The <code>predict</code> function is then used to predict a value along the curve, in this
-case the prediction is made for the <strong><code>x</code></strong> value of 5.</p>
-<div class="listingblock"><pre class="rouge highlight"><code class="language-text" data-lang="text"><pre class="highlight"><code>let(x=array(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14),
- y=array(0, 1, 2, 3, 4, 5.7, 6, 7, 6, 5, 5, 3, 2, 1, 0),
- curve=polyfit(x, y, 5),
- p=predict(curve, 5))</code></pre></code></pre></div>
-<p>When this expression is sent to the <code>/stream</code> handler it
-responds with:</p>
-<div class="listingblock"><pre class="rouge highlight"><code class="language-json" data-lang="json"><pre class="highlight"><code><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"result-set"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"docs"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="background-color: #f8f8f8">[</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"p"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="color: #009999">5.439695598519129</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">},</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"EOF"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="color: #000000;font-weight: bold">true</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"RESPONSE_TIME"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="color: #009999">0</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">}</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">]</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">}</span><span style="color: #bbbbbb">
-</span><span style="background-color: #f8f8f8">}</span></code></pre></code></pre></div>
-<p>The <code>derivative</code> and <code>integrate</code> functions can be used to compute the derivative
-and integrals for the fitted
-curve. The example below demonstrates how to compute a derivative
-for the fitted curve.</p>
-<div class="listingblock"><pre class="rouge highlight"><code class="language-text" data-lang="text"><pre class="highlight"><code>let(x=array(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14),
- y=array(0, 1, 2, 3, 4, 5.7, 6, 7, 6, 5, 5, 3, 2, 1, 0),
- curve=polyfit(x, y, 5),
- d=derivative(curve))</code></pre></code></pre></div>
-<p>When this expression is sent to the <code>/stream</code> handler it
-responds with:</p>
-<div class="listingblock"><pre class="rouge highlight"><code class="language-json" data-lang="json"><pre class="highlight"><code><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"result-set"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"docs"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="background-color: #f8f8f8">[</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"d"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="background-color: #f8f8f8">[</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">0.3198918573686361</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">0.9261492094077225</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">1.2374272373653175</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">1.30051359631081</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">1.1628032287629813</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">0.8722983646900058</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">0.47760852150945</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">0.02795050408827482</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-0.42685159525716865</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-0.8363663967611356</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-1.1495552332084857</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-1.3147721499346892</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-1.2797639048258267</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-0.9916699683185771</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-0.3970225234002308</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">]</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">},</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"EOF"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="color: #000000;font-weight: bold">true</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"RESPONSE_TIME"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="color: #009999">0</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">}</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">]</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">}</span><span style="color: #bbbbbb">
-</span><span style="background-color: #f8f8f8">}</span></code></pre></code></pre></div></section></section>
+<p>The <code>polyfit</code> function can be visualized in a similar manner to linear regression with
+Zeppelin-Solr.</p>
+<p>The example below uses the <code>polyfit</code> function to fit a non-linear curve to a scatter
+plot of a random sample. The blue points are the scatter plot of the original observations and the red points
+are the predicted curve.</p>
+<div class="imageblock"><img src="images/math-expressions/polyfit.png" alt="polyfit"></div>
+<p>In the example above a random sample containing two fields, <code>filesize_d</code>
+and <code>response_d</code>, is drawn from the <code>logs</code> collection.
+The two fields are vectorized and set to the variables <code>x</code> and <code>y</code>.</p>
+<p>Then the <code>polyfit</code> function is used to fit a non-linear model to the data using a 5 degree
+polynomial. The <code>polyfit</code> function returns a model that is then directly plotted
+by <code>zplot</code> along with the original observations.</p>
+<p>The fitted model can also be used
+by the <code>predict</code> function in the same manner as linear regression. The example below
+uses the fitted model to predict a response time for a file size of 42000.</p>
+<div class="imageblock"><img src="images/math-expressions/polyfit-predict.png" alt="polyfit predict"></div>
+<p>If an array of predictor values is provided an array of predictions will be returned.</p>
+<p>The <code>polyfit</code> model performs both <strong>interpolation</strong> and <strong>extrapolation</strong>,
+which means that it can predict results both within the bounds of the data set
+and beyond the bounds.</p>
+<section class="sect2"><h3 id="residuals">Residuals</h3><p>The residuals can be calculated and visualized in the same manner as linear
+regression as well. In the example below the <code>ebeSubtract</code> function is used
+to subtract the fitted model from the observed values, to
+calculate a vector of residuals. The residuals are then plotted in a <strong>residual plot</strong>
+with the predictions along the x-axis and the model error on the y-axis.</p>
+<div class="imageblock"><img src="images/math-expressions/polyfit-resid.png" alt="polyfit resid"></div></section></section>
+<section class="sect1"><h2 id="gaussian-curve-fitting">Gaussian Curve Fitting</h2><p>The <code>gaussfit</code> function fits a smooth curve through a Gaussian peak. The <code>gaussfit</code>
+function takes an x- and y-axis and fits a smooth gaussian curve to the data. If
+only one vector of numbers is passed, <code>gaussfit</code> will treat it as the y-axis
+and will generate a sequence for the x-axis.</p>
+<p>One of the interesting use cases for <code>gaussfit</code> is to visualize how well a regression
+model’s residuals fit a normal distribution.</p>
+<p>One of the characteristics of a well-fit regression model is that its residuals will ideally fit a normal distribution.
+We can
+test this by building a histogram of the residuals and then fitting a gaussian curve to the curve of the histogram.</p>
+<p>In the example below the residuals from a <code>polyfit</code> regression are modeled with the
+<code>hist</code> function to return a histogram with 32 bins. The <code>hist</code> function returns
+a list of tuples with statistics about each bin. In the example the <code>col</code> function is
+used to return a vector with the <code>N</code> column for each bin, which is the count of
+observations in the
+bin. If the residuals are normally distributed we would expect the bin counts
+to roughly follow a gaussian curve.</p>
+<p>The bin count vector is then passed to <code>gaussfit</code> as the y-axis. <code>gaussfit</code> generates
+a sequence for the x-axis and then fits the gaussian curve to data.</p>
+<p><code>zplot</code> is then used to plot the original bin counts and the fitted curve. In the
+example below, the blue line is the bin counts, and the smooth yellow line is the
+fitted curve. We can see that the binned residuals fit fairly well to a normal
+distribution.</p>
+<div class="imageblock"><img src="images/math-expressions/gaussfit.png" alt="gaussfit"></div>
+<p>The second plot shows the two curves overlaid with an area chart:</p>
+<div class="imageblock"><img src="images/math-expressions/gaussfit2.png" alt="gaussfit2"></div></section>
<section class="sect1"><h2 id="harmonic-curve-fitting">Harmonic Curve Fitting</h2><p>The <code>harmonicFit</code> function (or <code>harmfit</code>, for short) fits a smooth line through control points of a sine wave.
The <code>harmfit</code> function is passed x- and y-axes and fits a smooth curve to the data.
If a single array is provided it is treated as the y-axis and a sequence is generated
@@ -1831,8 +1752,6 @@ for the x-axis.</p>
<p>The example below shows <code>harmfit</code> fitting a single oscillation of a sine wave. The <code>harmfit</code> function
returns the smoothed values at each control point. The return value is also a model which can be used by
the <code>predict</code>, <code>derivative</code> and <code>integrate</code> functions.</p>
-<p>There are also three helper functions that can be used to retrieve the estimated parameters of the fitted model:</p>
-<div class="ulist"><ul><li><p><code>getAmplitude</code>: Returns the amplitude of the sine wave.</p></li><li><p><code>getAngularFrequency</code>: Returns the angular frequency of the sine wave.</p></li><li><p><code>getPhase</code>: Returns the phase of the sine wave.</p></li></ul></div>
<div class="admonitionblock note">
<table>
<tr>
@@ -1847,118 +1766,13 @@ extrapolated to any point in time in the
</tr>
</table>
</div>
-<p>In the example below the <code>harmfit</code> function fits control points, provided as x and y axes, and then the
-angular frequency, phase and amplitude are retrieved from the fitted model.</p>
-<div class="listingblock"><pre class="rouge highlight"><code class="language-text" data-lang="text"><pre class="highlight"><code>let(echo="freq, phase, amp",
- x=array(0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19),
- y=array(-0.7441113653915925,-0.8997532112139415, -0.9853140681578838, -0.9941296760805463,
- -0.9255133950087844, -0.7848096869247675, -0.5829778403072583, -0.33573836075915076,
- -0.06234851460699166, 0.215897602691855, 0.47732764497752245, 0.701579055431586,
- 0.8711850882773975, 0.9729352782968976, 0.9989043923858761, 0.9470697190130273,
- 0.8214686154479715, 0.631884041542757, 0.39308257356494, 0.12366424851680227),
- model=harmfit(x, y),
- freq=getAngularFrequency(model),
- phase=getPhase(model),
- amp=getAmplitude(model))</code></pre></code></pre></div>
-<div class="listingblock"><pre class="rouge highlight"><code class="language-json" data-lang="json"><pre class="highlight"><code><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"result-set"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"docs"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="background-color: #f8f8f8">[</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"freq"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="color: #009999">0.28</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"phase"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="color: #009999">2.4100000000000006</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"amp"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="color: #009999">0.9999999999999999</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">},</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"EOF"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="color: #000000;font-weight: bold">true</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"RESPONSE_TIME"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="color: #009999">0</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">}</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">]</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">}</span><span style="color: #bbbbbb">
-</span><span style="background-color: #f8f8f8">}</span></code></pre></code></pre></div>
-<section class="sect2"><h3 id="interpolation-and-extrapolation">Interpolation and Extrapolation</h3><p>The <code>harmfit</code> function returns a fitted model of the sine wave that can used by the <code>predict</code> function to
-interpolate or extrapolate the sine wave.</p>
-<p>The example below uses the fitted model to extrapolate the sine wave beyond the control points
-to the x-axis points 20, 21, 22, 23.</p>
-<div class="listingblock"><pre class="rouge highlight"><code class="language-text" data-lang="text"><pre class="highlight"><code>let(x=array(0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19),
- y=array(-0.7441113653915925,-0.8997532112139415, -0.9853140681578838, -0.9941296760805463,
- -0.9255133950087844, -0.7848096869247675, -0.5829778403072583, -0.33573836075915076,
- -0.06234851460699166, 0.215897602691855, 0.47732764497752245, 0.701579055431586,
- 0.8711850882773975, 0.9729352782968976, 0.9989043923858761, 0.9470697190130273,
- 0.8214686154479715, 0.631884041542757, 0.39308257356494, 0.12366424851680227),
- model=harmfit(x, y),
- extrapolation=predict(model, array(20, 21, 22, 23)))</code></pre></code></pre></div>
-<div class="listingblock"><pre class="rouge highlight"><code class="language-json" data-lang="json"><pre class="highlight"><code><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"result-set"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"docs"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="background-color: #f8f8f8">[</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"extrapolation"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="background-color: #f8f8f8">[</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-0.1553861764415666</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-0.42233370833176975</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-0.656386037906838</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">-0.8393130343914845</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">]</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">},</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"EOF"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="color: #000000;font-weight: bold">true</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"RESPONSE_TIME"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="color: #009999">0</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">}</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">]</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">}</span><span style="color: #bbbbbb">
-</span><span style="background-color: #f8f8f8">}</span></code></pre></code></pre></div></section></section>
-<section class="sect1"><h2 id="gaussian-curve-fitting">Gaussian Curve Fitting</h2><p>The <code>gaussfit</code> function fits a smooth curve through a Gaussian peak.
-This is shown in the example below.</p>
-<div class="listingblock"><pre class="rouge highlight"><code class="language-text" data-lang="text"><pre class="highlight"><code>let(x=array(0,1,2,3,4,5,6,7,8,9, 10),
- y=array(4,55,1200,3028,12000,18422,13328,6426,1696,239,20),
- f=gaussfit(x, y))</code></pre></code></pre></div>
-<p>When this expression is sent to the <code>/stream</code> handler it responds with:</p>
-<div class="listingblock"><pre class="rouge highlight"><code class="language-json" data-lang="json"><pre class="highlight"><code><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"result-set"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"docs"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="background-color: #f8f8f8">[</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"f"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="background-color: #f8f8f8">[</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">2.81764431935644</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">61.157417979413424</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">684.2328985468831</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">3945.9411154167447</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">11729.758936952656</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">17972.951897338007</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">14195.201949425435</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">5779.03836032222</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">1212.7224502169634</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">131.17742331530349</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #009999">7.3138931735866946</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">]</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">},</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"EOF"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="color: #000000;font-weight: bold">true</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"RESPONSE_TIME"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="color: #009999">0</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">}</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">]</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">}</span><span style="color: #bbbbbb">
-</span><span style="background-color: #f8f8f8">}</span></code></pre></code></pre></div>
-<p>Like the <code>polyfit</code> function, the <code>gaussfit</code> function returns a function that can
-be used directly by the <code>predict</code>, <code>derivative</code> and <code>integrate</code> functions.</p>
-<p>The example below demonstrates how to compute an integral for a fitted Gaussian curve.</p>
-<div class="listingblock"><pre class="rouge highlight"><code class="language-text" data-lang="text"><pre class="highlight"><code>let(x=array(0,1,2,3,4,5,6,7,8,9, 10),
- y=array(4,55,1200,3028,12000,18422,13328,6426,1696,239,20),
- f=gaussfit(x, y),
- i=integrate(f, 0, 5))
-</code></pre></code></pre></div>
-<p>When this expression is sent to the <code>/stream</code> handler it
-responds with:</p>
-<div class="listingblock"><pre class="rouge highlight"><code class="language-json" data-lang="json"><pre class="highlight"><code><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"result-set"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"docs"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="background-color: #f8f8f8">[</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"i"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="color: #009999">25261.666789766092</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">},</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">{</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"EOF"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="color: #000000;font-weight: bold">true</span><span style="background-color: #f8f8f8">,</span><span style="color: #bbbbbb">
- </span><span style="color: #000080">"RESPONSE_TIME"</span><span style="background-color: #f8f8f8">:</span><span style="color: #bbbbbb"> </span><span style="color: #009999">3</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">}</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">]</span><span style="color: #bbbbbb">
- </span><span style="background-color: #f8f8f8">}</span><span style="color: #bbbbbb">
-</span><span style="background-color: #f8f8f8">}</span></code></pre></code></pre></div></section>
+<p>In the example below the original control points are shown in blue and the fitted curve is shown in yellow.</p>
+<div class="imageblock"><img src="images/math-expressions/harmfit.png" alt="harmfit"></div>
+<p>The output of <code>harmfit</code> is a model that can be used by the <code>predict</code> function to interpolate and extrapolate
+the sine wave. In the example below the <code>natural</code> function creates an x-axis from 0 to 127
+used to predict results for the model. This extrapolates the sine wave out to 128 points, when
+the original model curve had only 19 control points.</p>
+<div class="imageblock"><img src="images/math-expressions/harmfit2.png" alt="harmfit2"></div></section>
</section>
@@ -1973,10 +1787,10 @@ responds with:</p>
<nav class="scrollnav row">
<div class="col-lg-12">
- <a class="btn btn-primary prev float-left" href="numerical-analysis.html">Interpolation, Derivatives and Integrals</a>
+ <a class="btn btn-primary prev float-left" href="regression.html">Linear Regression</a>
- <a class="btn btn-primary next float-right" href="dsp.html">Digital Signal Processing</a>
+ <a class="btn btn-primary next float-right" href="time-series.html">Time Series</a>
</div>
</nav>
@@ -1988,7 +1802,7 @@ responds with:</p>
<div class="row">
<div class="col-lg-12 footer">
©2021 Apache Software Foundation. All rights reserved. <br />
- Site Version: 8.8-DRAFT <br />Site last generated: 2021-01-19 <br />
+ Site Version: 8.8 <br />Site last generated: 2021-01-28 <br />
<p><img src="images/solr-sunOnly-small.png" alt="Apache Solr"/></p>
</div>
</div>
Modified: websites/production/lucene/content/solr/guide/8_8/datadir-and-directoryfactory-in-solrconfig.html
==============================================================================
--- websites/production/lucene/content/solr/guide/8_8/datadir-and-directoryfactory-in-solrconfig.html (original)
+++ websites/production/lucene/content/solr/guide/8_8/datadir-and-directoryfactory-in-solrconfig.html Thu Jan 28 16:33:25 2021
@@ -8,7 +8,7 @@
<meta name="description" content="">
<meta name="keywords" content=" ">
-<title>DataDir and DirectoryFactory in SolrConfig | Apache Solr Reference Guide 8.8-DRAFT</title>
+<title>DataDir and DirectoryFactory in SolrConfig | Apache Solr Reference Guide 8.8</title>
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.1.3/css/bootstrap.min.css" integrity="sha384-MCw98/SFnGE8fJT3GXwEOngsV7Zt27NXFoaoApmYm81iuXoPkFOJwJ8ERdknLPMO" crossorigin="anonymous">
<link rel="stylesheet" type="text/css" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.5.0/css/font-awesome.min.css">
@@ -68,7 +68,7 @@
</script>
</head>
-<body class="DRAFT" id="datadir-and-directoryfactory-in-solrconfig">
+<body class="" id="datadir-and-directoryfactory-in-solrconfig">
<div class="container-fluid">
<div class="row">
<nav id="sidebar" class="col-2 d-none d-md-block">
@@ -76,11 +76,6 @@
<div class="sidebar-header">
<div class="sidebarTitle text-center">Apache Solr Reference Guide</div>
- <p class="draft-notice">
- This is an unofficial DRAFT of the Guide for 8.8.
- <a href="https://lucene.apache.org/solr/guide/">Official releases are available from the Solr website</a>.
- </p>
-
<!--comment out this block if you want to hide search-->
<!--start search-->
@@ -872,11 +867,36 @@
</li>
<li class="sb-level2">
- <a href="math-expressions.html">Math Expressions</a>
+ <a href="math-expressions.html">Streaming Expressions and Math Expressions</a>
<ul>
<li class="sb-level3">
+ <a href="visualization.html">Visualization</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="math-start.html">Getting Started</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="loading.html">Loading Data</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="search-sample.html">Searching, Sampling and Aggregation</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="transform.html">Transforming Data</a>
+
+ </li>
+
+ <li class="sb-level3">
<a href="scalar-math.html">Scalar Math</a>
</li>
@@ -897,12 +917,12 @@
</li>
<li class="sb-level3">
- <a href="vectorization.html">Streams and Vectorization</a>
+ <a href="term-vectors.html">Text Analysis and Term Vectors</a>
</li>
<li class="sb-level3">
- <a href="term-vectors.html">Text Analysis and Term Vectors</a>
+ <a href="probability-distributions.html">Probability Distributions</a>
</li>
@@ -912,12 +932,12 @@
</li>
<li class="sb-level3">
- <a href="probability-distributions.html">Probability Distributions</a>
+ <a href="regression.html">Linear Regression</a>
</li>
<li class="sb-level3">
- <a href="simulations.html">Monte Carlo Simulations</a>
+ <a href="curve-fitting.html">Curve Fitting</a>
</li>
@@ -927,32 +947,32 @@
</li>
<li class="sb-level3">
- <a href="regression.html">Linear Regression</a>
+ <a href="numerical-analysis.html">Interpolation, Derivatives and Integrals</a>
</li>
<li class="sb-level3">
- <a href="numerical-analysis.html">Interpolation, Derivatives and Integrals</a>
+ <a href="dsp.html">Digital Signal Processing</a>
</li>
<li class="sb-level3">
- <a href="curve-fitting.html">Curve Fitting</a>
+ <a href="simulations.html">Monte Carlo Simulations</a>
</li>
<li class="sb-level3">
- <a href="dsp.html">Digital Signal Processing</a>
+ <a href="machine-learning.html">Machine Learning</a>
</li>
<li class="sb-level3">
- <a href="machine-learning.html">Machine Learning</a>
+ <a href="computational-geometry.html">Computational Geometry</a>
</li>
<li class="sb-level3">
- <a href="computational-geometry.html">Computational Geometry</a>
+ <a href="logs.html">Log Analytics</a>
</li>
@@ -1727,7 +1747,7 @@ element <code><solrDataHome></code
<div class="row">
<div class="col-lg-12 footer">
©2021 Apache Software Foundation. All rights reserved. <br />
- Site Version: 8.8-DRAFT <br />Site last generated: 2021-01-19 <br />
+ Site Version: 8.8 <br />Site last generated: 2021-01-28 <br />
<p><img src="images/solr-sunOnly-small.png" alt="Apache Solr"/></p>
</div>
</div>
Modified: websites/production/lucene/content/solr/guide/8_8/dataimport-screen.html
==============================================================================
--- websites/production/lucene/content/solr/guide/8_8/dataimport-screen.html (original)
+++ websites/production/lucene/content/solr/guide/8_8/dataimport-screen.html Thu Jan 28 16:33:25 2021
@@ -8,7 +8,7 @@
<meta name="description" content="">
<meta name="keywords" content=" ">
-<title>Dataimport Screen | Apache Solr Reference Guide 8.8-DRAFT</title>
+<title>Dataimport Screen | Apache Solr Reference Guide 8.8</title>
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.1.3/css/bootstrap.min.css" integrity="sha384-MCw98/SFnGE8fJT3GXwEOngsV7Zt27NXFoaoApmYm81iuXoPkFOJwJ8ERdknLPMO" crossorigin="anonymous">
<link rel="stylesheet" type="text/css" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.5.0/css/font-awesome.min.css">
@@ -68,7 +68,7 @@
</script>
</head>
-<body class="DRAFT" id="dataimport-screen">
+<body class="" id="dataimport-screen">
<div class="container-fluid">
<div class="row">
<nav id="sidebar" class="col-2 d-none d-md-block">
@@ -76,11 +76,6 @@
<div class="sidebar-header">
<div class="sidebarTitle text-center">Apache Solr Reference Guide</div>
- <p class="draft-notice">
- This is an unofficial DRAFT of the Guide for 8.8.
- <a href="https://lucene.apache.org/solr/guide/">Official releases are available from the Solr website</a>.
- </p>
-
<!--comment out this block if you want to hide search-->
<!--start search-->
@@ -872,11 +867,36 @@
</li>
<li class="sb-level2">
- <a href="math-expressions.html">Math Expressions</a>
+ <a href="math-expressions.html">Streaming Expressions and Math Expressions</a>
<ul>
<li class="sb-level3">
+ <a href="visualization.html">Visualization</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="math-start.html">Getting Started</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="loading.html">Loading Data</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="search-sample.html">Searching, Sampling and Aggregation</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="transform.html">Transforming Data</a>
+
+ </li>
+
+ <li class="sb-level3">
<a href="scalar-math.html">Scalar Math</a>
</li>
@@ -897,12 +917,12 @@
</li>
<li class="sb-level3">
- <a href="vectorization.html">Streams and Vectorization</a>
+ <a href="term-vectors.html">Text Analysis and Term Vectors</a>
</li>
<li class="sb-level3">
- <a href="term-vectors.html">Text Analysis and Term Vectors</a>
+ <a href="probability-distributions.html">Probability Distributions</a>
</li>
@@ -912,12 +932,12 @@
</li>
<li class="sb-level3">
- <a href="probability-distributions.html">Probability Distributions</a>
+ <a href="regression.html">Linear Regression</a>
</li>
<li class="sb-level3">
- <a href="simulations.html">Monte Carlo Simulations</a>
+ <a href="curve-fitting.html">Curve Fitting</a>
</li>
@@ -927,32 +947,32 @@
</li>
<li class="sb-level3">
- <a href="regression.html">Linear Regression</a>
+ <a href="numerical-analysis.html">Interpolation, Derivatives and Integrals</a>
</li>
<li class="sb-level3">
- <a href="numerical-analysis.html">Interpolation, Derivatives and Integrals</a>
+ <a href="dsp.html">Digital Signal Processing</a>
</li>
<li class="sb-level3">
- <a href="curve-fitting.html">Curve Fitting</a>
+ <a href="simulations.html">Monte Carlo Simulations</a>
</li>
<li class="sb-level3">
- <a href="dsp.html">Digital Signal Processing</a>
+ <a href="machine-learning.html">Machine Learning</a>
</li>
<li class="sb-level3">
- <a href="machine-learning.html">Machine Learning</a>
+ <a href="computational-geometry.html">Computational Geometry</a>
</li>
<li class="sb-level3">
- <a href="computational-geometry.html">Computational Geometry</a>
+ <a href="logs.html">Log Analytics</a>
</li>
@@ -1704,7 +1724,7 @@ The Data Import Handler is deprecated as
<div class="row">
<div class="col-lg-12 footer">
©2021 Apache Software Foundation. All rights reserved. <br />
- Site Version: 8.8-DRAFT <br />Site last generated: 2021-01-19 <br />
+ Site Version: 8.8 <br />Site last generated: 2021-01-28 <br />
<p><img src="images/solr-sunOnly-small.png" alt="Apache Solr"/></p>
</div>
</div>
Modified: websites/production/lucene/content/solr/guide/8_8/de-duplication.html
==============================================================================
--- websites/production/lucene/content/solr/guide/8_8/de-duplication.html (original)
+++ websites/production/lucene/content/solr/guide/8_8/de-duplication.html Thu Jan 28 16:33:25 2021
@@ -8,7 +8,7 @@
<meta name="description" content="">
<meta name="keywords" content=" ">
-<title>De-Duplication | Apache Solr Reference Guide 8.8-DRAFT</title>
+<title>De-Duplication | Apache Solr Reference Guide 8.8</title>
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.1.3/css/bootstrap.min.css" integrity="sha384-MCw98/SFnGE8fJT3GXwEOngsV7Zt27NXFoaoApmYm81iuXoPkFOJwJ8ERdknLPMO" crossorigin="anonymous">
<link rel="stylesheet" type="text/css" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.5.0/css/font-awesome.min.css">
@@ -68,7 +68,7 @@
</script>
</head>
-<body class="DRAFT" id="de-duplication">
+<body class="" id="de-duplication">
<div class="container-fluid">
<div class="row">
<nav id="sidebar" class="col-2 d-none d-md-block">
@@ -76,11 +76,6 @@
<div class="sidebar-header">
<div class="sidebarTitle text-center">Apache Solr Reference Guide</div>
- <p class="draft-notice">
- This is an unofficial DRAFT of the Guide for 8.8.
- <a href="https://lucene.apache.org/solr/guide/">Official releases are available from the Solr website</a>.
- </p>
-
<!--comment out this block if you want to hide search-->
<!--start search-->
@@ -872,11 +867,36 @@
</li>
<li class="sb-level2">
- <a href="math-expressions.html">Math Expressions</a>
+ <a href="math-expressions.html">Streaming Expressions and Math Expressions</a>
<ul>
<li class="sb-level3">
+ <a href="visualization.html">Visualization</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="math-start.html">Getting Started</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="loading.html">Loading Data</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="search-sample.html">Searching, Sampling and Aggregation</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="transform.html">Transforming Data</a>
+
+ </li>
+
+ <li class="sb-level3">
<a href="scalar-math.html">Scalar Math</a>
</li>
@@ -897,12 +917,12 @@
</li>
<li class="sb-level3">
- <a href="vectorization.html">Streams and Vectorization</a>
+ <a href="term-vectors.html">Text Analysis and Term Vectors</a>
</li>
<li class="sb-level3">
- <a href="term-vectors.html">Text Analysis and Term Vectors</a>
+ <a href="probability-distributions.html">Probability Distributions</a>
</li>
@@ -912,12 +932,12 @@
</li>
<li class="sb-level3">
- <a href="probability-distributions.html">Probability Distributions</a>
+ <a href="regression.html">Linear Regression</a>
</li>
<li class="sb-level3">
- <a href="simulations.html">Monte Carlo Simulations</a>
+ <a href="curve-fitting.html">Curve Fitting</a>
</li>
@@ -927,32 +947,32 @@
</li>
<li class="sb-level3">
- <a href="regression.html">Linear Regression</a>
+ <a href="numerical-analysis.html">Interpolation, Derivatives and Integrals</a>
</li>
<li class="sb-level3">
- <a href="numerical-analysis.html">Interpolation, Derivatives and Integrals</a>
+ <a href="dsp.html">Digital Signal Processing</a>
</li>
<li class="sb-level3">
- <a href="curve-fitting.html">Curve Fitting</a>
+ <a href="simulations.html">Monte Carlo Simulations</a>
</li>
<li class="sb-level3">
- <a href="dsp.html">Digital Signal Processing</a>
+ <a href="machine-learning.html">Machine Learning</a>
</li>
<li class="sb-level3">
- <a href="machine-learning.html">Machine Learning</a>
+ <a href="computational-geometry.html">Computational Geometry</a>
</li>
<li class="sb-level3">
- <a href="computational-geometry.html">Computational Geometry</a>
+ <a href="logs.html">Log Analytics</a>
</li>
@@ -1749,7 +1769,7 @@
<div class="row">
<div class="col-lg-12 footer">
©2021 Apache Software Foundation. All rights reserved. <br />
- Site Version: 8.8-DRAFT <br />Site last generated: 2021-01-19 <br />
+ Site Version: 8.8 <br />Site last generated: 2021-01-28 <br />
<p><img src="images/solr-sunOnly-small.png" alt="Apache Solr"/></p>
</div>
</div>
Modified: websites/production/lucene/content/solr/guide/8_8/defining-core-properties.html
==============================================================================
--- websites/production/lucene/content/solr/guide/8_8/defining-core-properties.html (original)
+++ websites/production/lucene/content/solr/guide/8_8/defining-core-properties.html Thu Jan 28 16:33:25 2021
@@ -8,7 +8,7 @@
<meta name="description" content="">
<meta name="keywords" content=" ">
-<title>Defining core.properties | Apache Solr Reference Guide 8.8-DRAFT</title>
+<title>Defining core.properties | Apache Solr Reference Guide 8.8</title>
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.1.3/css/bootstrap.min.css" integrity="sha384-MCw98/SFnGE8fJT3GXwEOngsV7Zt27NXFoaoApmYm81iuXoPkFOJwJ8ERdknLPMO" crossorigin="anonymous">
<link rel="stylesheet" type="text/css" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.5.0/css/font-awesome.min.css">
@@ -68,7 +68,7 @@
</script>
</head>
-<body class="DRAFT" id="defining-core-properties">
+<body class="" id="defining-core-properties">
<div class="container-fluid">
<div class="row">
<nav id="sidebar" class="col-2 d-none d-md-block">
@@ -76,11 +76,6 @@
<div class="sidebar-header">
<div class="sidebarTitle text-center">Apache Solr Reference Guide</div>
- <p class="draft-notice">
- This is an unofficial DRAFT of the Guide for 8.8.
- <a href="https://lucene.apache.org/solr/guide/">Official releases are available from the Solr website</a>.
- </p>
-
<!--comment out this block if you want to hide search-->
<!--start search-->
@@ -872,11 +867,36 @@
</li>
<li class="sb-level2">
- <a href="math-expressions.html">Math Expressions</a>
+ <a href="math-expressions.html">Streaming Expressions and Math Expressions</a>
<ul>
<li class="sb-level3">
+ <a href="visualization.html">Visualization</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="math-start.html">Getting Started</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="loading.html">Loading Data</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="search-sample.html">Searching, Sampling and Aggregation</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="transform.html">Transforming Data</a>
+
+ </li>
+
+ <li class="sb-level3">
<a href="scalar-math.html">Scalar Math</a>
</li>
@@ -897,12 +917,12 @@
</li>
<li class="sb-level3">
- <a href="vectorization.html">Streams and Vectorization</a>
+ <a href="term-vectors.html">Text Analysis and Term Vectors</a>
</li>
<li class="sb-level3">
- <a href="term-vectors.html">Text Analysis and Term Vectors</a>
+ <a href="probability-distributions.html">Probability Distributions</a>
</li>
@@ -912,12 +932,12 @@
</li>
<li class="sb-level3">
- <a href="probability-distributions.html">Probability Distributions</a>
+ <a href="regression.html">Linear Regression</a>
</li>
<li class="sb-level3">
- <a href="simulations.html">Monte Carlo Simulations</a>
+ <a href="curve-fitting.html">Curve Fitting</a>
</li>
@@ -927,32 +947,32 @@
</li>
<li class="sb-level3">
- <a href="regression.html">Linear Regression</a>
+ <a href="numerical-analysis.html">Interpolation, Derivatives and Integrals</a>
</li>
<li class="sb-level3">
- <a href="numerical-analysis.html">Interpolation, Derivatives and Integrals</a>
+ <a href="dsp.html">Digital Signal Processing</a>
</li>
<li class="sb-level3">
- <a href="curve-fitting.html">Curve Fitting</a>
+ <a href="simulations.html">Monte Carlo Simulations</a>
</li>
<li class="sb-level3">
- <a href="dsp.html">Digital Signal Processing</a>
+ <a href="machine-learning.html">Machine Learning</a>
</li>
<li class="sb-level3">
- <a href="machine-learning.html">Machine Learning</a>
+ <a href="computational-geometry.html">Computational Geometry</a>
</li>
<li class="sb-level3">
- <a href="computational-geometry.html">Computational Geometry</a>
+ <a href="logs.html">Log Analytics</a>
</li>
@@ -1722,7 +1742,7 @@
<div class="row">
<div class="col-lg-12 footer">
©2021 Apache Software Foundation. All rights reserved. <br />
- Site Version: 8.8-DRAFT <br />Site last generated: 2021-01-19 <br />
+ Site Version: 8.8 <br />Site last generated: 2021-01-28 <br />
<p><img src="images/solr-sunOnly-small.png" alt="Apache Solr"/></p>
</div>
</div>
Modified: websites/production/lucene/content/solr/guide/8_8/defining-fields.html
==============================================================================
--- websites/production/lucene/content/solr/guide/8_8/defining-fields.html (original)
+++ websites/production/lucene/content/solr/guide/8_8/defining-fields.html Thu Jan 28 16:33:25 2021
@@ -8,7 +8,7 @@
<meta name="description" content="">
<meta name="keywords" content=" ">
-<title>Defining Fields | Apache Solr Reference Guide 8.8-DRAFT</title>
+<title>Defining Fields | Apache Solr Reference Guide 8.8</title>
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.1.3/css/bootstrap.min.css" integrity="sha384-MCw98/SFnGE8fJT3GXwEOngsV7Zt27NXFoaoApmYm81iuXoPkFOJwJ8ERdknLPMO" crossorigin="anonymous">
<link rel="stylesheet" type="text/css" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.5.0/css/font-awesome.min.css">
@@ -68,7 +68,7 @@
</script>
</head>
-<body class="DRAFT" id="defining-fields">
+<body class="" id="defining-fields">
<div class="container-fluid">
<div class="row">
<nav id="sidebar" class="col-2 d-none d-md-block">
@@ -76,11 +76,6 @@
<div class="sidebar-header">
<div class="sidebarTitle text-center">Apache Solr Reference Guide</div>
- <p class="draft-notice">
- This is an unofficial DRAFT of the Guide for 8.8.
- <a href="https://lucene.apache.org/solr/guide/">Official releases are available from the Solr website</a>.
- </p>
-
<!--comment out this block if you want to hide search-->
<!--start search-->
@@ -872,11 +867,36 @@
</li>
<li class="sb-level2">
- <a href="math-expressions.html">Math Expressions</a>
+ <a href="math-expressions.html">Streaming Expressions and Math Expressions</a>
<ul>
<li class="sb-level3">
+ <a href="visualization.html">Visualization</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="math-start.html">Getting Started</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="loading.html">Loading Data</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="search-sample.html">Searching, Sampling and Aggregation</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="transform.html">Transforming Data</a>
+
+ </li>
+
+ <li class="sb-level3">
<a href="scalar-math.html">Scalar Math</a>
</li>
@@ -897,12 +917,12 @@
</li>
<li class="sb-level3">
- <a href="vectorization.html">Streams and Vectorization</a>
+ <a href="term-vectors.html">Text Analysis and Term Vectors</a>
</li>
<li class="sb-level3">
- <a href="term-vectors.html">Text Analysis and Term Vectors</a>
+ <a href="probability-distributions.html">Probability Distributions</a>
</li>
@@ -912,12 +932,12 @@
</li>
<li class="sb-level3">
- <a href="probability-distributions.html">Probability Distributions</a>
+ <a href="regression.html">Linear Regression</a>
</li>
<li class="sb-level3">
- <a href="simulations.html">Monte Carlo Simulations</a>
+ <a href="curve-fitting.html">Curve Fitting</a>
</li>
@@ -927,32 +947,32 @@
</li>
<li class="sb-level3">
- <a href="regression.html">Linear Regression</a>
+ <a href="numerical-analysis.html">Interpolation, Derivatives and Integrals</a>
</li>
<li class="sb-level3">
- <a href="numerical-analysis.html">Interpolation, Derivatives and Integrals</a>
+ <a href="dsp.html">Digital Signal Processing</a>
</li>
<li class="sb-level3">
- <a href="curve-fitting.html">Curve Fitting</a>
+ <a href="simulations.html">Monte Carlo Simulations</a>
</li>
<li class="sb-level3">
- <a href="dsp.html">Digital Signal Processing</a>
+ <a href="machine-learning.html">Machine Learning</a>
</li>
<li class="sb-level3">
- <a href="machine-learning.html">Machine Learning</a>
+ <a href="computational-geometry.html">Computational Geometry</a>
</li>
<li class="sb-level3">
- <a href="computational-geometry.html">Computational Geometry</a>
+ <a href="logs.html">Log Analytics</a>
</li>
@@ -1698,7 +1718,7 @@
<div class="row">
<div class="col-lg-12 footer">
©2021 Apache Software Foundation. All rights reserved. <br />
- Site Version: 8.8-DRAFT <br />Site last generated: 2021-01-19 <br />
+ Site Version: 8.8 <br />Site last generated: 2021-01-28 <br />
<p><img src="images/solr-sunOnly-small.png" alt="Apache Solr"/></p>
</div>
</div>
Modified: websites/production/lucene/content/solr/guide/8_8/deployment-and-operations.html
==============================================================================
--- websites/production/lucene/content/solr/guide/8_8/deployment-and-operations.html (original)
+++ websites/production/lucene/content/solr/guide/8_8/deployment-and-operations.html Thu Jan 28 16:33:25 2021
@@ -8,7 +8,7 @@
<meta name="description" content="">
<meta name="keywords" content=" ">
-<title>Deployment and Operations | Apache Solr Reference Guide 8.8-DRAFT</title>
+<title>Deployment and Operations | Apache Solr Reference Guide 8.8</title>
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.1.3/css/bootstrap.min.css" integrity="sha384-MCw98/SFnGE8fJT3GXwEOngsV7Zt27NXFoaoApmYm81iuXoPkFOJwJ8ERdknLPMO" crossorigin="anonymous">
<link rel="stylesheet" type="text/css" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.5.0/css/font-awesome.min.css">
@@ -68,7 +68,7 @@
</script>
</head>
-<body class="DRAFT" id="deployment-and-operations">
+<body class="" id="deployment-and-operations">
<div class="container-fluid">
<div class="row">
<nav id="sidebar" class="col-2 d-none d-md-block">
@@ -76,11 +76,6 @@
<div class="sidebar-header">
<div class="sidebarTitle text-center">Apache Solr Reference Guide</div>
- <p class="draft-notice">
- This is an unofficial DRAFT of the Guide for 8.8.
- <a href="https://lucene.apache.org/solr/guide/">Official releases are available from the Solr website</a>.
- </p>
-
<!--comment out this block if you want to hide search-->
<!--start search-->
@@ -872,11 +867,36 @@
</li>
<li class="sb-level2">
- <a href="math-expressions.html">Math Expressions</a>
+ <a href="math-expressions.html">Streaming Expressions and Math Expressions</a>
<ul>
<li class="sb-level3">
+ <a href="visualization.html">Visualization</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="math-start.html">Getting Started</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="loading.html">Loading Data</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="search-sample.html">Searching, Sampling and Aggregation</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="transform.html">Transforming Data</a>
+
+ </li>
+
+ <li class="sb-level3">
<a href="scalar-math.html">Scalar Math</a>
</li>
@@ -897,12 +917,12 @@
</li>
<li class="sb-level3">
- <a href="vectorization.html">Streams and Vectorization</a>
+ <a href="term-vectors.html">Text Analysis and Term Vectors</a>
</li>
<li class="sb-level3">
- <a href="term-vectors.html">Text Analysis and Term Vectors</a>
+ <a href="probability-distributions.html">Probability Distributions</a>
</li>
@@ -912,12 +932,12 @@
</li>
<li class="sb-level3">
- <a href="probability-distributions.html">Probability Distributions</a>
+ <a href="regression.html">Linear Regression</a>
</li>
<li class="sb-level3">
- <a href="simulations.html">Monte Carlo Simulations</a>
+ <a href="curve-fitting.html">Curve Fitting</a>
</li>
@@ -927,32 +947,32 @@
</li>
<li class="sb-level3">
- <a href="regression.html">Linear Regression</a>
+ <a href="numerical-analysis.html">Interpolation, Derivatives and Integrals</a>
</li>
<li class="sb-level3">
- <a href="numerical-analysis.html">Interpolation, Derivatives and Integrals</a>
+ <a href="dsp.html">Digital Signal Processing</a>
</li>
<li class="sb-level3">
- <a href="curve-fitting.html">Curve Fitting</a>
+ <a href="simulations.html">Monte Carlo Simulations</a>
</li>
<li class="sb-level3">
- <a href="dsp.html">Digital Signal Processing</a>
+ <a href="machine-learning.html">Machine Learning</a>
</li>
<li class="sb-level3">
- <a href="machine-learning.html">Machine Learning</a>
+ <a href="computational-geometry.html">Computational Geometry</a>
</li>
<li class="sb-level3">
- <a href="computational-geometry.html">Computational Geometry</a>
+ <a href="logs.html">Log Analytics</a>
</li>
@@ -1697,7 +1717,7 @@
<div class="row">
<div class="col-lg-12 footer">
©2021 Apache Software Foundation. All rights reserved. <br />
- Site Version: 8.8-DRAFT <br />Site last generated: 2021-01-19 <br />
+ Site Version: 8.8 <br />Site last generated: 2021-01-28 <br />
<p><img src="images/solr-sunOnly-small.png" alt="Apache Solr"/></p>
</div>
</div>
Modified: websites/production/lucene/content/solr/guide/8_8/detecting-languages-during-indexing.html
==============================================================================
--- websites/production/lucene/content/solr/guide/8_8/detecting-languages-during-indexing.html (original)
+++ websites/production/lucene/content/solr/guide/8_8/detecting-languages-during-indexing.html Thu Jan 28 16:33:25 2021
@@ -8,7 +8,7 @@
<meta name="description" content="">
<meta name="keywords" content=" ">
-<title>Detecting Languages During Indexing | Apache Solr Reference Guide 8.8-DRAFT</title>
+<title>Detecting Languages During Indexing | Apache Solr Reference Guide 8.8</title>
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.1.3/css/bootstrap.min.css" integrity="sha384-MCw98/SFnGE8fJT3GXwEOngsV7Zt27NXFoaoApmYm81iuXoPkFOJwJ8ERdknLPMO" crossorigin="anonymous">
<link rel="stylesheet" type="text/css" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.5.0/css/font-awesome.min.css">
@@ -68,7 +68,7 @@
</script>
</head>
-<body class="DRAFT" id="detecting-languages-during-indexing">
+<body class="" id="detecting-languages-during-indexing">
<div class="container-fluid">
<div class="row">
<nav id="sidebar" class="col-2 d-none d-md-block">
@@ -76,11 +76,6 @@
<div class="sidebar-header">
<div class="sidebarTitle text-center">Apache Solr Reference Guide</div>
- <p class="draft-notice">
- This is an unofficial DRAFT of the Guide for 8.8.
- <a href="https://lucene.apache.org/solr/guide/">Official releases are available from the Solr website</a>.
- </p>
-
<!--comment out this block if you want to hide search-->
<!--start search-->
@@ -872,11 +867,36 @@
</li>
<li class="sb-level2">
- <a href="math-expressions.html">Math Expressions</a>
+ <a href="math-expressions.html">Streaming Expressions and Math Expressions</a>
<ul>
<li class="sb-level3">
+ <a href="visualization.html">Visualization</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="math-start.html">Getting Started</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="loading.html">Loading Data</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="search-sample.html">Searching, Sampling and Aggregation</a>
+
+ </li>
+
+ <li class="sb-level3">
+ <a href="transform.html">Transforming Data</a>
+
+ </li>
+
+ <li class="sb-level3">
<a href="scalar-math.html">Scalar Math</a>
</li>
@@ -897,12 +917,12 @@
</li>
<li class="sb-level3">
- <a href="vectorization.html">Streams and Vectorization</a>
+ <a href="term-vectors.html">Text Analysis and Term Vectors</a>
</li>
<li class="sb-level3">
- <a href="term-vectors.html">Text Analysis and Term Vectors</a>
+ <a href="probability-distributions.html">Probability Distributions</a>
</li>
@@ -912,12 +932,12 @@
</li>
<li class="sb-level3">
- <a href="probability-distributions.html">Probability Distributions</a>
+ <a href="regression.html">Linear Regression</a>
</li>
<li class="sb-level3">
- <a href="simulations.html">Monte Carlo Simulations</a>
+ <a href="curve-fitting.html">Curve Fitting</a>
</li>
@@ -927,32 +947,32 @@
</li>
<li class="sb-level3">
- <a href="regression.html">Linear Regression</a>
+ <a href="numerical-analysis.html">Interpolation, Derivatives and Integrals</a>
</li>
<li class="sb-level3">
- <a href="numerical-analysis.html">Interpolation, Derivatives and Integrals</a>
+ <a href="dsp.html">Digital Signal Processing</a>
</li>
<li class="sb-level3">
- <a href="curve-fitting.html">Curve Fitting</a>
+ <a href="simulations.html">Monte Carlo Simulations</a>
</li>
<li class="sb-level3">
- <a href="dsp.html">Digital Signal Processing</a>
+ <a href="machine-learning.html">Machine Learning</a>
</li>
<li class="sb-level3">
- <a href="machine-learning.html">Machine Learning</a>
+ <a href="computational-geometry.html">Computational Geometry</a>
</li>
<li class="sb-level3">
- <a href="computational-geometry.html">Computational Geometry</a>
+ <a href="logs.html">Log Analytics</a>
</li>
@@ -1732,7 +1752,7 @@
<div class="row">
<div class="col-lg-12 footer">
©2021 Apache Software Foundation. All rights reserved. <br />
- Site Version: 8.8-DRAFT <br />Site last generated: 2021-01-19 <br />
+ Site Version: 8.8 <br />Site last generated: 2021-01-28 <br />
<p><img src="images/solr-sunOnly-small.png" alt="Apache Solr"/></p>
</div>
</div>