UNPKG

qminer

Version:

A C++ based data analytics platform for processing large-scale real-time streams containing structured and unstructured data

379 lines (375 loc) 16.2 kB
<!doctype html> <html> <head> <meta name="generator" content="JSDoc 3"> <meta charset="utf-8"> <title>Class: RecommenderSys</title> <link rel="stylesheet" href="https://brick.a.ssl.fastly.net/Karla:400,400i,700,700i" type="text/css"> <link rel="stylesheet" href="https://brick.a.ssl.fastly.net/Noto+Serif:400,400i,700,700i" type="text/css"> <link rel="stylesheet" href="https://brick.a.ssl.fastly.net/Inconsolata:500" type="text/css"> <link href="css/baseline.css" rel="stylesheet"> </head> <body onload="prettyPrint()"> <nav id="jsdoc-navbar" role="navigation" class="jsdoc-navbar"> <div id="jsdoc-navbar-container"> <div id="jsdoc-navbar-content"> <a href="index.html" class="jsdoc-navbar-package-name">QMiner JavaScript API v9.4.0</a> </div> </div> </nav> <div id="jsdoc-body-container"> <div id="jsdoc-content"> <div id="jsdoc-content-container"> <div id="jsdoc-main" role="main"> <header class="page-header"> <div class="symbol-detail-labels"><span class="label label-kind">class</span>&nbsp;<span class="label label-static">static</span></div> <h1><small><a href="module-analytics.html">analytics</a>.<wbr></small><span class="symbol-name">RecommenderSys</span></h1> <p class="source-link">Source: <a href="analyticsdoc.js.html#source-line-2795">analyticsdoc.<wbr>js:2795</a></p> <div class="symbol-classdesc"> <p>The recommender system algorithm using Weighted Non-negative Matrix Factorization to predict the unknown values. If <code>A</code> is a matrix with unknown values it calculates the matrices <code>U</code> and <code>V</code> such that <code>U*V</code> approximates <code>A</code>.</p> </div> <dl class="dl-compact"> </dl> </header> <section id="summary"> <div class="summary-callout"> <h2 class="summary-callout-heading">Methods</h2> <div class="summary-content"> <div class="summary-column"> <dl class="dl-summary-callout"> <dt><a href="module-analytics.RecommenderSys.html#fit">fit(A)</a></dt> <dd> </dd> <dt><a href="module-analytics.RecommenderSys.html#getModel">getModel()</a></dt> <dd> </dd> </dl> </div> <div class="summary-column"> <dl class="dl-summary-callout"> <dt><a href="module-analytics.RecommenderSys.html#getParams">getParams()</a></dt> <dd> </dd> <dt><a href="module-analytics.RecommenderSys.html#save">save(fout)</a></dt> <dd> </dd> </dl> </div> <div class="summary-column"> <dl class="dl-summary-callout"> <dt><a href="module-analytics.RecommenderSys.html#setParams">setParams(params)</a></dt> <dd> </dd> </dl> </div> </div> </div> </section> <section> <h2 id="RecommenderSys">new&nbsp;<span class="symbol-name">RecommenderSys</span><span class="signature"><span class="signature-params">([arg])</span></span></h2> <p>Recommender System</p> <section> <h3> Example </h3> <div> <pre class="prettyprint"><code>// import analytics and la modules var analytics &#x3D; require(&#x27;qminer&#x27;).analytics; var la &#x3D; require(&#x27;qminer&#x27;).la; // create a Recommender System object var recSys &#x3D; new analytics.RecommenderSys({ tol: 1e-3, iter: 10000, k: 2, verbose: false }); // create the matrix to be fitted var X &#x3D; new la.Matrix([[1, 2, 1], [1, 1, 3]]); // create the model recSys.fit(X);</code></pre> </div> </section> <section> <h3>Parameter</h3> <table class="jsdoc-details-table"> <thead> <tr> <th>Name</th> <th>Type</th> <th>Optional</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td> <p>arg</p> </td> <td> <p>(<a href="module-analytics.html#~RecSysParam">module:analytics~RecSysParam</a> or <a href="module-fs.FIn.html">module:fs.FIn</a>)</p> </td> <td> <p>Yes</p> </td> <td> <p>Construction arguments. There are two ways of constructing: <br>1. Using the <a href="module-analytics.html#~RecSysParam">module:analytics~RecSysParam</a> object, <br>2. using the file input stream <a href="module-fs.FIn.html">module:fs.FIn</a>. </p> </td> </tr> </tbody> </table> </section> <dl class="dl-compact"> </dl> </section> <section> <h2>Methods</h2> <section> <h3 id="fit"><span class="symbol-name">fit</span><span class="signature"><span class="signature-params">(A)</span>&nbsp;&rarr; <span class="signature-returns"> <a href="module-analytics.RecommenderSys.html">module:analytics.RecommenderSys</a></span></span></h3> <p>Fits the input matrix to the recommender model.</p> <section> <h4> Examples </h4> <div> <p> Asynhronous function </p> <pre class="prettyprint"><code>// import modules var analytics &#x3D; require(&#x27;qminer&#x27;).analytics; var la &#x3D; require(&#x27;qminer&#x27;).la; // create a new Recommender System object var recSys &#x3D; new analytics.RecommenderSys({ iter: 1000, k: 2 }); // create a matrix to be fitted var X &#x3D; new la.Matrix([[1, 5, 0], [1, 0, 3]]); // create the model with the matrix X recSys.fitAsync(X, function (err) { if (err) { console.log(err); } // successful calculation });</code></pre> </div> <div> <p> Synhronous function </p> <pre class="prettyprint"><code>// import modules var analytics &#x3D; require(&#x27;qminer&#x27;).analytics; var la &#x3D; require(&#x27;qminer&#x27;).la; // create a new Recommender System object var recSys &#x3D; new analytics.RecommenderSys({ iter: 1000, k: 2 }); // create a matrix to be fitted var X &#x3D; new la.Matrix([[1, 5, 0], [1, 0, 3]]); // create the model with the matrix X recSys.fit(X);</code></pre> </div> </section> <section> <h4>Parameter</h4> <table class="jsdoc-details-table"> <thead> <tr> <th>Name</th> <th>Type</th> <th>Optional</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td> <p>A</p> </td> <td> <p>(<a href="module-la.Matrix.html">module:la.Matrix</a> or <a href="module-la.SparseMatrix.html">module:la.SparseMatrix</a>)</p> </td> <td> <p>&nbsp;</p> </td> <td> <p>Matrix with the ratings, where it A_ij element is the rating that the i-th person gave to the j-th item. If A_ij = 0, the data doesn't exist.</p> </td> </tr> </tbody> </table> </section> <dl class="dl-compact"> <dt>Returns</dt> <dd> <p><code><a href="module-analytics.RecommenderSys.html">module:analytics.RecommenderSys</a></code>B Self. The model has been fitted.</p> </dd> </dl> <h3 id="getModel"><span class="symbol-name">getModel</span><span class="signature"><span class="signature-params">()</span>&nbsp;&rarr; <span class="signature-returns"> Object</span></span></h3> <p>Gets the model.</p> <section> <h4> Example </h4> <div> <pre class="prettyprint"><code>// import modules //var analytics &#x3D; require(&#x27;qminer&#x27;).analytics; //var la &#x3D; require(&#x27;qminer&#x27;).la; // create a new Recommender System object //var recSys &#x3D; new analytics.RecommenderSys({ iter: 1000, k: 3 }); // create a matrix to be fitted //var X &#x3D; new la.Matrix([[1, 5, 0], [1, 0, 3]]); // create the model with the matrix X //recSys.fit(X); // get the model //var model &#x3D; recSys.getModel();</code></pre> </div> </section> <dl class="dl-compact"> <dt>Returns</dt> <dd> <p><code>Object</code>B An object <code>recSysModel</code> containing the properties: <br>1. <code>recSysModel.U</code> - The matrix <code>U</code> from the weighted NMF. Type <a href="module-la.Matrix.html">module:la.Matrix</a>. <br>2. <code>recSysModel.V</code> - The matrix <code>V</code> from the weighted NMF. Type <a href="module-la.Matrix.html">module:la.Matrix</a>. </p> </dd> </dl> <h3 id="getParams"><span class="symbol-name">getParams</span><span class="signature"><span class="signature-params">()</span>&nbsp;&rarr; <span class="signature-returns"> <a href="module-analytics.html#~RecSysParam">module:analytics~RecSysParam</a></span></span></h3> <p>Returns the parameters.</p> <section> <h4> Example </h4> <div> <pre class="prettyprint"><code>// import analytics module var analytics &#x3D; require(&#x27;qminer&#x27;).analytics; // create a new KMeans object var recSys &#x3D; new analytics.RecommenderSys({ iter: 1000, k: 5 }); // get the parameters var json &#x3D; recSys.getParams();</code></pre> </div> </section> <dl class="dl-compact"> <dt>Returns</dt> <dd> <p><code><a href="module-analytics.html#~RecSysParam">module:analytics~RecSysParam</a></code>B The construction parameters.</p> </dd> </dl> <h3 id="save"><span class="symbol-name">save</span><span class="signature"><span class="signature-params">(fout)</span>&nbsp;&rarr; <span class="signature-returns"> <a href="module-fs.FOut.html">module:fs.FOut</a></span></span></h3> <p>Saves RecommenderSys internal state into (binary) file.</p> <section> <h4> Example </h4> <div> <pre class="prettyprint"><code>// import modules var analytics &#x3D; require(&#x27;qminer&#x27;).analytics; var fs &#x3D; require(&#x27;qminer&#x27;).fs; // create a new Recommender System object var recSys &#x3D; new analytics.RecommenderSys(); // change the parameters of the Recommender System object recSys.setParams({ iter: 1000, k: 5 }); // create the file output stream var fout &#x3D; new fs.openWrite(&#x27;recsys.bin&#x27;); // save the RecommenderSys instance recSys.save(fout); fout.close(); // load the RecommenderSys instance var fin &#x3D; fs.openRead(&#x27;recsys.bin&#x27;); var recSys2 &#x3D; new analytics.RecommenderSys(fin);</code></pre> </div> </section> <section> <h4>Parameter</h4> <table class="jsdoc-details-table"> <thead> <tr> <th>Name</th> <th>Type</th> <th>Optional</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td> <p>fout</p> </td> <td> <p><a href="module-fs.FOut.html">module:fs.FOut</a></p> </td> <td> <p>&nbsp;</p> </td> <td> <p>The output stream.</p> </td> </tr> </tbody> </table> </section> <dl class="dl-compact"> <dt>Returns</dt> <dd> <p><code><a href="module-fs.FOut.html">module:fs.FOut</a></code>B The output stream <code>fout</code>.</p> </dd> </dl> <h3 id="setParams"><span class="symbol-name">setParams</span><span class="signature"><span class="signature-params">(params)</span>&nbsp;&rarr; <span class="signature-returns"> <a href="module-analytics.RecommenderSys.html">module:analytics.RecommenderSys</a></span></span></h3> <p>Sets the parameters.</p> <section> <h4> Example </h4> <div> <pre class="prettyprint"><code>// import analytics module var analytics &#x3D; require(&#x27;qminer&#x27;).analytics; // create a new Recommender System object var recSys &#x3D; new analytics.RecommenderSys(); // change the parameters of the Recommender System object recSys.setParams({ iter: 1000, k: 5 });</code></pre> </div> </section> <section> <h4>Parameter</h4> <table class="jsdoc-details-table"> <thead> <tr> <th>Name</th> <th>Type</th> <th>Optional</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td> <p>params</p> </td> <td> <p><a href="module-analytics.html#~RecSysParam">module:analytics~RecSysParam</a></p> </td> <td> <p>&nbsp;</p> </td> <td> <p>The construction parameters.</p> </td> </tr> </tbody> </table> </section> <dl class="dl-compact"> <dt>Returns</dt> <dd> <p><code><a href="module-analytics.RecommenderSys.html">module:analytics.RecommenderSys</a></code>B Self. The parameters has been updated.</p> </dd> </dl> </section> </section> </div> </div> <nav id="jsdoc-toc-nav" role="navigation"></nav> </div> </div> <footer id="jsdoc-footer" class="jsdoc-footer"> <div id="jsdoc-footer-container"> <p> </p> </div> </footer> <script src="scripts/jquery.min.js"></script> <script src="scripts/tree.jquery.js"></script> <script src="scripts/prettify.js"></script> <script src="scripts/jsdoc-toc.js"></script> <script src="scripts/linenumber.js"></script> <script src="scripts/scrollanchor.js"></script> </body> </html>