开源推荐系统Librec的API文档资源-CSDN文库

共813个文件

html：794个

js：9个

css：3个

推荐系统

需积分: 4 111 浏览量 2022-11-02 19:56:06 上传评论收藏 1.84MB RAR 举报

资源详情

资源评论

资源推荐

收起资源包目录

开源推荐系统Librec的API文档（813个子文件）

stylesheet.css 19KB

jquery-ui.min.css 2KB

jquery-ui.overrides.css 536B

element-list 1KB

index-7.html 147KB

IOUtil.html 146KB

FileUtil.html 124KB

allclasses-index.html 122KB

index-18.html 105KB

overview-tree.html 88KB

index-17.html 75KB

StringUtil.html 71KB

SparseTensor.html 69KB

Recommender.html 66KB

Configuration.html 63KB

Lists.html 62KB

DataFrame.html 58KB

RecommendedList.html 58KB

AbstractRecommender.html 57KB

index-3.html 54KB

LibrecException.html 54KB

index-9.html 53KB

Randoms.html 52KB

SequentialAccessSparseMatrix.html 50KB

MatrixRecommender.html 50KB

DenseMatrix.html 50KB

index-19.html 49KB

Configuration.html 45KB

index-1.html 44KB

Stats.html 44KB

RowSequentialAccessSparseMatrix.html 41KB

DenseVector.html 41KB

SequentialAccessSparseMatrix.html 40KB

IncrementalRatingRecommender.html 40KB

VectorBasedSequentialSparseVector.html 39KB

index-5.html 38KB

index-13.html 37KB

Maths.html 36KB

IncrementalMFRecommender.html 36KB

SparseStringMatrix.html 35KB

AbstractDataModel.html 34KB

index-16.html 34KB

RecommendedList.html 33KB

TableMatrix.html 33KB

EvalContext.html 33KB

MatrixFactorizationRecommender.html 33KB

index-14.html 32KB

LLORMAUpdater.html 32KB

Measure.html 32KB

UserItemBaseline.html 32KB

ConvMFDocumentDataSetIterator.html 32KB

Recommender.html 32KB

IncrementalSimpleMFRecommender.html 32KB

serialized-form.html 32KB

package-use.html 31KB

Ensemble.html 31KB

index-12.html 31KB

AbstractVector.html 30KB

RecommenderJob.html 30KB

UserFeatureAppender.html 29KB

RandomAccessSparseVector.html 29KB

ItemFeatureAppender.html 29KB

OrderedIntDoubleMapping.html 29KB

index-4.html 29KB

ArffDataConvertor.html 29KB

Path.html 28KB

ModelData.html 28KB

VectorBasedDenseVector.html 27KB

MatrixBasedSequentialSparseVector.html 27KB

DateUtil.html 27KB

AbstractRecommenderEvaluator.html 27KB

index-21.html 26KB

Vector.html 26KB

SequentialSparseVector.html 26KB

RowRandomAccessSparseMatrix.html 25KB

package-use.html 25KB

index-2.html 25KB

IncrementalBiasedMFRecommender.html 24KB

RatioDataSplitter.html 24KB

USGRecommender.html 24KB

AbstractRecommender.html 24KB

DenseMatrix.html 24KB

TextDataConvertor.html 23KB

JobStatus.html 23KB

index-20.html 23KB

RecommenderEvaluator.html 23KB

constant-values.html 23KB

SymmMatrix.html 22KB

DataModel.html 22KB

Matrix.html 22KB

DataModel.html 22KB

Systems.html 21KB

ConvMFDocumentDataSetIterator.Builder.html 21KB

RecommenderSimilarity.html 21KB

DataSet.html 21KB

AbstractRecommenderSimilarity.html 21KB

GivenNDataSplitter.html 21KB

MatrixRecommender.html 20KB

AutoRecLossFunction.html 20KB

共 813 条

<!DOCTYPE HTML> <html lang="zh"> <head>  <title>G - 索引</title> <meta name="viewport" content="width=device-width, initial-scale=1"> <meta http-equiv="Content-Type" content="text/html; charset=UTF-8"> <meta name="dc.created" content="2022-11-02"> <meta name="description" content="index: G"> <meta name="generator" content="javadoc/IndexWriter"> <link rel="stylesheet" type="text/css" href="../stylesheet.css" title="Style"> <link rel="stylesheet" type="text/css" href="../script-dir/jquery-ui.min.css" title="Style"> <link rel="stylesheet" type="text/css" href="../jquery-ui.overrides.css" title="Style"> <script type="text/javascript" src="../script.js"></script> <script type="text/javascript" src="../script-dir/jquery-3.6.0.min.js"></script> <script type="text/javascript" src="../script-dir/jquery-ui.min.js"></script> </head> <body class="index-page"> <script type="text/javascript">var pathtoroot = "../"; loadScripts(document, 'script');</script> <noscript> <div>您的浏览器已禁用 JavaScript。</div> </noscript> <div class="flex-box"> <header role="banner" class="flex-header"> <nav role="navigation">  <div class="top-nav" id="navbar-top"> <div class="skip-nav"><a href="#skip-navbar-top" title="跳过导航链接">跳过导航链接</a></div> <ul id="navbar-top-firstrow" class="nav-list" title="导航"> <li><a href="../index.html">概览</a></li> <li>程序包</li> <li>类</li> <li>使用</li> <li><a href="../overview-tree.html">树</a></li> <li><a href="../deprecated-list.html">已过时</a></li> <li class="nav-bar-cell1-rev">索引</li> <li><a href="../help-doc.html#index">帮助</a></li> </ul> </div> <div class="sub-nav"> <div class="nav-list-search"><label for="search-input">SEARCH:</label> <input type="text" id="search-input" value="search" disabled="disabled"> <input type="reset" id="reset-button" value="reset" disabled="disabled"> </div> </div>  <span class="skip-nav" id="skip-navbar-top"></span></nav> </header> <div class="flex-content"> <main role="main"> <div class="header"> <h1>索引</h1> </div> <a href="index-1.html">A</a> <a href="index-2.html">B</a> <a href="index-3.html">C</a> <a href="index-4.html">D</a> <a href="index-5.html">E</a> <a href="index-6.html">F</a> <a href="index-7.html">G</a> <a href="index-8.html">H</a> <a href="index-9.html">I</a> <a href="index-10.html">J</a> <a href="index-11.html">K</a> <a href="index-12.html">L</a> <a href="index-13.html">M</a> <a href="index-14.html">N</a> <a href="index-15.html">O</a> <a href="index-16.html">P</a> <a href="index-17.html">R</a> <a href="index-18.html">S</a> <a href="index-19.html">T</a> <a href="index-20.html">U</a> <a href="index-21.html">V</a> <a href="index-22.html">W</a> <a href="index-23.html">Z</a> <br><a href="../allclasses-index.html">All Classes and Interfaces</a><span class="vertical-separator">|</span><a href="../constant-values.html">常量字段值</a><span class="vertical-separator">|</span><a href="../allpackages-index.html">所有程序包</a><span class="vertical-separator">|</span><a href="../serialized-form.html">序列化表格</a> <h2 class="title" id="I:G">G</h2> <dl class="index"> <dt><a href="../net/librec/math/algorithm/Gamma.html#gamma(double)" class="member-name-link">gamma(double)</a> - 类中的静态方法 net.librec.math.algorithm.<a href="../net/librec/math/algorithm/Gamma.html" title="net.librec.math.algorithm中的类">Gamma</a></dt> <dd> <div class="block">The Gamma function is defined by: <br></div> </dd> <dt><a href="../net/librec/math/algorithm/Randoms.html#gamma(double,double)" class="member-name-link">gamma(double, double)</a> - 类中的静态方法 net.librec.math.algorithm.<a href="../net/librec/math/algorithm/Randoms.html" title="net.librec.math.algorithm中的类">Randoms</a></dt> <dd> <div class="block">Randomly sample 1 point from Gamma Distribution with the given parameters.</div> </dd> <dt><a href="../net/librec/math/algorithm/Gamma.html" class="type-name-link" title="net.librec.math.algorithm中的类">Gamma</a> - <a href="../net/librec/math/algorithm/package-summary.html">net.librec.math.algorithm</a>中的类</dt> <dd> </dd> <dt><a href="../net/librec/math/algorithm/Gamma.html#%3Cinit%3E()" class="member-name-link">Gamma()</a> - 类的构造器 net.librec.math.algorithm.<a href="../net/librec/math/algorithm/Gamma.html" title="net.librec.math.algorithm中的类">Gamma</a></dt> <dd> </dd> <dt><a href="../net/librec/recommender/cf/ranking/BNPPFRecommeder.GammaDenseMatrix.html#%3Cinit%3E(int,int,double,double)" class="member-name-link">GammaDenseMatrix(int, int, double, double)</a> - 类的构造器 net.librec.recommender.cf.ranking.<a href="../net/librec/recommender/cf/ranking/BNPPFRecommeder.GammaDenseMatrix.html" title="net.librec.recommender.cf.ranking中的类">BNPPFRecommeder.GammaDenseMatrix</a></dt> <dd> </dd> <dt><a href="../net/librec/recommender/cf/ranking/BNPPFRecommeder.GammaDenseMatrixGR.html#%3Cinit%3E(int,int,double,double)" class="member-name-link">GammaDenseMatrixGR(int, int, double, double)</a> - 类的构造器 net.librec.recommender.cf.ranking.<a href="../net/librec/recommender/cf/ranking/BNPPFRecommeder.GammaDenseMatrixGR.html" title="net.librec.recommender.cf.ranking中的类">BNPPFRecommeder.GammaDenseMatrixGR</a></dt> <dd> </dd> <dt><a href="../net/librec/recommender/cf/ranking/BNPPFRecommeder.GammaDenseVector.html#%3Cinit%3E(int,double,double)" class="member-name-link">GammaDenseVector(int, double, double)</a> - 类的构造器 net.librec.recommender.cf.ranking.<a href="../net/librec/recommender/cf/ranking/BNPPFRecommeder.GammaDenseVector.html" title="net.librec.recommender.cf.ranking中的类">BNPPFRecommeder.GammaDenseVector</a></dt> <dd> </dd> <dt><a href="../net/librec/math/algorithm/Randoms.html#gaussian(double,double)" class="member-name-link">gaussian(double, double)</a> - 类中的静态方法 net.librec.math.algorithm.<a href="../net/librec/math/algorithm/Randoms.html" title="net.librec.math.algorithm中的类">Randoms</a></dt> <dd> <div class="block">Return a real number from a Gaussian distribution with given mean and stddev.</div> </dd> <dt><a href="../net/librec/math/algorithm/Gaussian.html" class="type-name-link" title="net.librec.math.algorithm中的类">Gaussian</a> - <a href="../net/librec/math/algorithm/package-summary.html">net.librec.math.algorithm</a>中的类</dt> <dd> <div class="block">Gaussian</div> </dd> <dt><a href="../net/librec/math/algorithm/Gaussian.html#%3Cinit%3E()" class="member-name-link">Gaussian()</a> - 类的构造器 net.librec.math.algorithm.<a href="../net/librec/math/algorithm/Gaussian.html" title="net.librec.math.algorithm中的类">Gaussian</a></dt> <dd> </dd> <dt><a href="../net/librec/math/algorithm/KernelSmoothing.html#GAUSSIAN_KERNEL" class="member-name-link">GAUSSIAN_KERNEL</a> - 类中的静态变量 net.librec.math.algorithm.<a href="../net/librec/math/algorithm/KernelSmoothing.html" title="net.librec.math.algorithm中的类">KernelSmoothing</a></dt> <dd> </dd> <dt><a href="../net/librec/recommender/cf/ranking/GBPRRecommender.html" class="type-name-link" title="net.librec.recommender.cf.ranking中的类">GBPRRecommender</a> - <a href="../net/librec/recommender/cf/ranking/package-summary.html">net.librec.recommender.cf.ranking</a>中的类</dt> <dd> <div class="block">Pan and Chen, <strong>GBPR: Group Preference Based Bayesian Personalized Ranking for One-Class Collaborative Filtering</strong>, IJCAI 2013.</div> </dd> <dt><a href="../net/librec/recommender/cf/ranking/GBPRRecommender.html#%3Cinit%3E()" class="member-name-link">GBPRRecommender()</a