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Instructions</span></a></li><li class="level-2"><a class="final" href="/resources/glossary/"><span>Glossary</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="page-title"><h1>Modeling Workflow and DASE</h1></div></div><div id="table-of-content-wrapper"><h5>On this page</h5><aside id="table-of-contents"><ul> <li> <a href="#training-the-model">Training The Model</a> </li> </ul> </aside><hr/><a id="edit-page-link" href="https://github.com/apache/incubator-predictionio/t ree/livedoc/docs/manual/source/machinelearning/modelingworkflow.html.md"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="page-title"><h1>Modeling Workflow and DASE</h1></div></div><div class="content"><p>In addition to the DASE components, we also introduce the Data Model and Training Model abstractions. The Data Model abstraction refers to the set of Scala classes dealing with the implementation of modeling choices relating to feature <strong>extraction</strong>, <strong>preparation</strong>, and/or <strong>selection</strong>. For this illustration, this only includes the vectorization of text and t.f.-i.d.f. processing which is entirely implemented in the PreparedData class. The Training Model abstraction refers to any set of classes that individually take in a set of feature observations and output a predictive model. This predictive model is leveraged by the Algorithm component to produce predict ion results to queries in real-time. In the engine template, this abstraction is implemented in the NBModel class. <strong>Please note that these are conceptual abstractions that are designed to make engine development easier by decoupling class functionality.</strong> Keeping these abstractions in mind will help you in the future with debugging your code, and also make it easier to incorporate different modeling ideas into your engine. </p><p>The figure below shows a graphical representation of the engine architecture just described, as well as its interactions with your web/app and a provided Event Server:</p><p><img alt="Engine Overview" src="/images/demo/text_classification_template/engine_overview-27e09a89.png"/></p><h2 id='training-the-model' class='header-anchors'>Training The Model</h2><p>This section will guide you through the two Training Model implementations that come with this engine template. Recall that the Training Model abstraction refers to an arbitrary set Scala C lass that outputs a predictive model (i.e. implements some method that can be used for prediction). The general problem this engine template is tackling is text classification, so that our Training Model abstraction domain is restricted to implementations producing classifiers. In particular, the classification model that is implemented in this engine template is based on Multinomial Naive Bayes using t.f.-i.d.f. vectorized text. </p></div></div></div></div><footer><div class="container"><div class="seperator"></div><div class="row"><div class="col-md-6 col-xs-6 footer-link-column"><div class="footer-link-column-row"><h4>Community</h4><ul><li><a href="//docs.prediction.io/install/" target="blank">Download</a></li><li><a href="//docs.prediction.io/" target="blank">Docs</a></li><li><a href="//github.com/apache/incubator-predictionio" target="blank">GitHub</a></li><li><a href="mailto:[email protected]"; target="blank">Subscribe to User Mailing List</a></li ><li><a href="//stackoverflow.com/questions/tagged/predictionio" >target="blank">Stackoverflow</a></li></ul></div></div><div class="col-md-6 >col-xs-6 footer-link-column"><div >class="footer-link-column-row"><h4>Contribute</h4><ul><li><a >href="//predictionio.incubator.apache.org/community/contribute-code/" >target="blank">Contribute</a></li><li><a >href="//github.com/apache/incubator-predictionio" target="blank">Source >Code</a></li><li><a href="//issues.apache.org/jira/browse/PIO" >target="blank">Bug Tracker</a></li><li><a >href="mailto:[email protected]"; >target="blank">Subscribe to Development Mailing >List</a></li></ul></div></div></div></div><div id="footer-bottom"><div >class="container"><div class="row"><div class="col-md-12"><div >id="footer-logo-wrapper"><img alt="PredictionIO" >src="/images/logos/logo-white-d1e9c6e6.png"/></div><div >id="social-icons-wrapper"><a class="github-button" >href="https://github.com/apache/incubator-predictionio"; data-style="mega" data-count-href="/apache/incubator-predictionio/stargazers" data-count-api="/repos/apache/incubator-predictionio#stargazers_count" data-count-aria-label="# stargazers on GitHub" aria-label="Star apache/incubator-predictionio on GitHub">Star</a> <a class="github-button" href="https://github.com/apache/incubator-predictionio/fork"; data-icon="octicon-git-branch" data-style="mega" data-count-href="/apache/incubator-predictionio/network" data-count-api="/repos/apache/incubator-predictionio#forks_count" data-count-aria-label="# forks on GitHub" aria-label="Fork apache/incubator-predictionio on GitHub">Fork</a> <script id="github-bjs" async="" defer="" src="https://buttons.github.io/buttons.js";></script><a href="//www.facebook.com/predictionio" target="blank"><img alt="PredictionIO on Twitter" src="/images/icons/twitter-ea9dc152.png"/></a> <a href="//twitter.com/predictionio" target="blank"><img alt="PredictionIO on Facebook" src="/images/icons/facebook-5c57939c.png"/></a> </div></div></di v></div></div></footer></div><script>(function(w,d,t,u,n,s,e){w['SwiftypeObject']=n;w[n]=w[n]||function(){ +(w[n].q=w[n].q||[]).push(arguments);};s=d.createElement(t); +e=d.getElementsByTagName(t)[0];s.async=1;s.src=u;e.parentNode.insertBefore(s,e); +})(window,document,'script','//s.swiftypecdn.com/install/v1/st.js','_st'); + +_st('install','HaUfpXXV87xoB_zzCQ45');</script><script src="/javascripts/application-f819cf19.js"></script></body></html> \ No newline at end of file
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App</span></a><ul><li class="level-2"><a class="final" href="/appintegration/"><span>App Integration Overview</span></a></li><li class="level-2"><a class="expandible" href="/sdk/"><span>List of SDKs</span></a><ul><li class="level-3"><a class="final" href="/sdk/java/"><span>Java & Android SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/php/"><span>PHP SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web Service</span></a></li><li class="level-2"><a class="final" href="/cli/#engine-commands"><span>Engine Command-line In terface</span></a></li><li class="level-2"><a class="final" href="/deploy/monitoring/"><span>Monitoring Engine</span></a></li><li class="level-2"><a class="final" href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying Multiple Engine Variants</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a class="final" href="/customize/"><span>Learning DASE</span></a></li><li class="level-2"><a class="final" href="/customize/dase/"><span>Implement DASE</span></a></li><li class="level-2"><a class="final" href="/customize/troubleshooting/"><span>Troubleshooting Engine Development</span></a></li><li class="level-2"><a class="final" href="/api/current/#package"><span>Engine Scala APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Collecting and Analyzing Data</span></a><ul 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>href="#"><span>Cho osing an Algorithm(s)</span></a><ul><li class="level-2"><a class="final" href="/algorithm/"><span>Built-in Algorithm Libraries</span></a></li><li class="level-2"><a class="final" href="/algorithm/switch/"><span>Switching to Another Algorithm</span></a></li><li class="level-2"><a class="final" href="/algorithm/multiple/"><span>Combining Multiple Algorithms</span></a></li><li class="level-2"><a class="final" href="/algorithm/custom/"><span>Adding Your Own Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>ML Tuning and Evaluation</span></a><ul><li class="level-2"><a class="final" href="/evaluation/"><span>Overview</span></a></li><li class="level-2"><a class="final" href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li class="level-2"><a class="final" href="/evaluation/evaluationdashboard/"><span>Evaluation Dashboard</span></a></li><li class="level-2"><a class="final" 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Instructions</span></a></li><li class="level-2"><a class="final" href="/resources/glossary/"><span>Glossary</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Getting Help</a><span class="spacer">></span></li><li><span class="last">FAQs</span></li></ul></div><div id="page-title"><h1>Frequently Asked Questions</h1></div></div><div id="table-of-content-wrapper"><h5>On this page</h5><aside id="table-of-contents"><ul> <li> <a href="#using-pr edictionio">Using PredictionIO</a> </li> <li> <a href="#problem-with-event-server">Problem with Event Server</a> </li> <li> <a href="#engine-training">Engine Training</a> </li> <li> <a href="#deploy-engine">Deploy Engine</a> </li> <li> <a href="#building-predictionio">Building PredictionIO</a> </li> <li> <a href="#engine-development">Engine Development</a> </li> <li> <a href="#running-hbase">Running HBase</a> </li> </ul> </aside><hr/><a id="edit-page-link" href="https://github.com/apache/incubator-predictionio/tree/livedoc/docs/manual/source/resources/faq.html.md";><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Getting Help</a><span class="spacer">></span></li><li><span class="last">FAQs</span></li></ul></div><div id="page-title"><h1>Frequently Asked Questions</h1></div></div><div class="content"><p>If you have questions that are not res olved below, you can subscribe and post to the user mailing list. You can follow the instructions <a href="/support">here</a>.</p><h2 id='using-predictionio' class='header-anchors'>Using PredictionIO</h2><h3 id='q:-how-do-i-check-to-see-if-various-dependencies,-such-as-elasticsearch-and-hbase,-are-running?' class='header-anchors'>Q: How do I check to see if various dependencies, such as ElasticSearch and HBase, are running?</h3><p>You can run <code>$ pio status</code> from the terminal and it will return the status of various components that PredictionIO depends on.</p> <ul> <li> You should see the following message if everything is OK:</li> </ul> <div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1 +2 +3 +4 +5 +6 +7 +8 +9 +10 +11 +12 +13 +14 +15 +16 +17 +18 +19</pre></td><td class="code"><pre><span class="gp">$ </span>pio status +PredictionIO + Installed at: /home/vagrant/PredictionIO + Version: 0.8.6 + +Apache Spark + Installed at: /home/vagrant/PredictionIO/vendors/spark-1.2.0 + Version: 1.2.0 <span class="o">(</span>meets minimum requirement of 1.2.0<span class="o">)</span> + +Storage Backend Connections + Verifying Meta Data Backend + Verifying Model Data Backend + Verifying Event Data Backend + Test write Event Store <span class="o">(</span>App Id 0<span class="o">)</span> +2015-02-03 18:52:38,904 INFO hbase.HBLEvents - The table predictionio_eventdata:events_0 doesn<span class="s1">'t exist yet. Creating now... +2015-02-03 18:52:39,868 INFO hbase.HBLEvents - Removing table predictionio_eventdata:events_0... + +(sleeping 5 seconds for all messages to show up...) +Your system is all ready to go. +</span></pre></td></tr></tbody></table> </div> <ul> <li>If you see the following error message, it usually means ElasticSearch is not running properly:</li> </ul> <div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1 +2 +3 +4 +5 +6 +7 +8 +9</pre></td><td class="code"><pre> ... +Storage Backend Connections + Verifying Meta Data Backend + ... +Caused by: org.elasticsearch.client.transport.NoNodeAvailableException: None of the configured nodes are available: <span class="o">[]</span> + at org.elasticsearch.client.transport.TransportClientNodesService.ensureNodesAreAvailable<span class="o">(</span>TransportClientNodesService.java:298<span class="o">)</span> + ... + +Unable to connect to all storage backend<span class="o">(</span>s<span class="o">)</span> successfully. Please refer to error message<span class="o">(</span>s<span class="o">)</span> above. Aborting. +</pre></td></tr></tbody></table> </div> <p>You can check if there is any ElasticSearch process by running 'jps'.</p><p>Please see <strong>How to start elasticsearch</strong> below.</p> <ul> <li>If you see the following error message, it usually means HBase is not running properly:</li> </ul> <div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1 +2 +3 +4 +5 +6 +7 +8 +9 +10 +11 +12 +13 +14 +15</pre></td><td class="code"><pre>Storage Backend Connections + Verifying Meta Data Backend + Verifying Model Data Backend + Verifying Event Data Backend +2015-02-03 18:40:04,810 ERROR zookeeper.RecoverableZooKeeper - ZooKeeper exists failed after 1 attempts +2015-02-03 18:40:04,812 ERROR zookeeper.ZooKeeperWatcher - hconnection-0x1e4075ce, <span class="nv">quorum</span><span class="o">=</span>localhost:2181, <span class="nv">baseZNode</span><span class="o">=</span>/hbase Received unexpected KeeperException, re-throwing exception +org.apache.zookeeper.KeeperException<span class="nv">$ConnectionLossException</span>: KeeperErrorCode <span class="o">=</span> ConnectionLoss <span class="k">for</span> /hbase/hbaseid +... +2015-02-03 18:40:07,021 ERROR hbase.StorageClient - Failed to connect to HBase. Plase check <span class="k">if </span>HBase is running properly. +2015-02-03 18:40:07,026 ERROR storage.Storage<span class="nv">$ </span>- Error initializing storage client <span class="k">for </span><span class="nb">source </span>HBASE +2015-02-03 18:40:07,027 ERROR storage.Storage<span class="nv">$ </span>- Can<span class="s1">'t connect to ZooKeeper +java.util.NoSuchElementException: None.get +... + +Unable to connect to all storage backend(s) successfully. Please refer to error message(s) above. Aborting. +</span></pre></td></tr></tbody></table> </div> <p>You can check if there is any HBase-related process by running 'jps'.</p><p>Please see <strong>How to start HBase</strong> below.</p><h3 id='q:-how-to-start-elasticsearch?' class='header-anchors'>Q: How to start ElasticSearch?</h3><p>If you used the <a href="/install/install-linux/#quick-install">install script</a> to install PredictionIO, the ElasticSearch is installed at <code>~/PredictionIO/vendors/elasticsearch-x.y.z/</code> where x.y.z is the version number (currently it's 1.4.4). To start it, run:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>~/PredictionIO/vendors/elasticsearch-x.y.z/bin/elasticsearch +</pre></td></tr></tbody></table> </div> <p>If you didn't use install script, please go to where ElasticSearch is installed to start it.</p><div class="alert-message info"><p>It may take some time (15 seconds or so) for ElasticSearch to become ready after you start it (wait a bit before you run <code>pio status</code> again).</p></div><h3 id='q:-how-to-start-hbase-?' class='header-anchors'>Q: How to start HBase ?</h3><p>If you used the <a href="/install/install-linux/#quick-install">install script</a> to install PredictionIO, the HBase is installed at <code>~/PredictionIO/vendors/hbase-x.y.z/</code> where x.y.z is the version number (currently it's 0.98.6). To start it, run:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>~/PredictionIO/vendors/hbase-x.y.z/bin/start-hbase.sh +</pre></td></tr></tbody></table> </div> <p>If you didn't use install script, please go to where HBase is installed to start it.</p><div class="alert-message info"><p>It may take some time (15 seconds or so) for HBase to become ready after you start it (wait a bit before you run <code>pio status</code> again).</p></div><h2 id='problem-with-event-server' class='header-anchors'>Problem with Event Server</h2><h3 id='q:-how-do-i-increase-the-jvm-heap-size-of-the-event-server?' class='header-anchors'>Q: How do I increase the JVM heap size of the Event Server?</h3><p>Add the <code>JAVA_OPTS</code> environmental variable to supply JVM options, e.g.</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span><span class="nv">JAVA_OPTS</span><span class="o">=</span>-Xmx16g bin/pio eventserver ... +</pre></td></tr></tbody></table> </div> <h2 id='engine-training' class='header-anchors'>Engine Training</h2><h3 id='q:-how-to-increase-spark-driver-program-and-worker-executor-memory-size?' class='header-anchors'>Q: How to increase Spark driver program and worker executor memory size?</h3><p>In general, the PredictionIO <code>bin/pio</code> scripts wraps around Spark's <code>spark-submit</code> script. You can specify a lot of Spark configurations (i.e. executor memory, cores, master url, etc.) with it. You can supply these as pass-through arguments at the end of <code>bin/pio</code> command.</p><p>If the engine training seems stuck, it's possible that the the executor doesn't have enough memory.</p><p>First, follow <a href="http://spark.apache.org/docs/latest/spark-standalone.html";>instruction here</a> to start standalone Spark cluster and get the master URL. If you use the provided quick install script to install PredictionIO, the Spark is installed at <code>Prediction IO/vendors/spark-1.2.0/</code> where you could run the Spark commands in <code>sbin/</code> as described in the Spark documentation. Then use following train commmand to specify executor memory (default is only 512 MB) and driver memory.</p><p>For example, the follow command set the Spark master to <code>spark://localhost:7077</code> (the default url of standalone cluster), set the driver memory to 16G and set the executor memory to 24G for <code>pio train</code>.</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>pio train -- --master spark://localhost:7077 --driver-memory 16G --executor-memory 24G +</pre></td></tr></tbody></table> </div> <h3 id='q:-how-to-resolve-"exception-in-thread-"main"-org.apache.spark.sparkexception:-job-aborted-due-to-stage-failure:-serialized-task-165:35-was-110539813-bytes,-which-exceeds-max-allowed:-spark.akka.framesize-(10485760-bytes)---reserved-(204800-bytes).-consider-increasing-spark.akka.framesize-or-using-broadcast-variables-for-large-values."?' class='header-anchors'>Q: How to resolve "Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Serialized task 165:35 was 110539813 bytes, which exceeds max allowed: spark.akka.frameSize (10485760 bytes) - reserved (204800 bytes). Consider increasing spark.akka.frameSize or using broadcast variables for large values."?</h3><p>A likely reason is the local algorithm model is larger than the default frame size. You can specify a larger value as a pass-thru argument to spark-submit when you <code>pio train</code>. The followin g command increase the frameSize to 1024MB.</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>pio train -- --conf spark.akka.frameSize<span class="o">=</span>1024 +</pre></td></tr></tbody></table> </div> <h2 id='deploy-engine' class='header-anchors'>Deploy Engine</h2><h3 id='q:-how-to-increase-heap-space-memory-for-"pio-deploy"?' class='header-anchors'>Q: How to increase heap space memory for "pio deploy"?</h3><p>If you see the following error during <code>pio deploy</code>, it means there is not enough heap space memory.</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1 +2 +3 +4</pre></td><td class="code"><pre>... +<span class="o">[</span>ERROR] <span class="o">[</span>LocalFSModels] Java heap space +<span class="o">[</span>ERROR] <span class="o">[</span>OneForOneStrategy] None.get +... +</pre></td></tr></tbody></table> </div> <p>To increase the heap space, specify the "-- --driver-memory " parameter in the command. For example, set the driver memory to 8G when deploy the engine:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>pio deploy -- --driver-memory 8G +</pre></td></tr></tbody></table> </div> <h2 id='building-predictionio' class='header-anchors'>Building PredictionIO</h2><h3 id='q:-how-to-resolve-"error:-could-not-find-or-load-main-class-org.apache.predictionio.tools.console"-after-./make_distribution.sh?' class='header-anchors'>Q: How to resolve "Error: Could not find or load main class org.apache.predictionio.tools.Console" after ./make_distribution.sh?</h3><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1 +2</pre></td><td class="code"><pre><span class="gp">$ </span>bin/pio app +Error: Could not find or load main class org.apache.predictionio.tools.Console +</pre></td></tr></tbody></table> </div> <p>When PredictionIO bumps a version, it creates another JAR file with the new version number.</p><p>Delete everything but the latest <code>pio-assembly-<VERSION>.jar</code> in <code>$PIO_HOME/assembly</code> directory. For example:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1 +2 +3 +4 +5 +6 +7 +8 +9</pre></td><td class="code"><pre><span class="gp">PredictionIO$ </span><span class="nb">cd </span>assembly/ +<span class="gp">PredictionIO/assembly$ </span>ls -al +total 197776 +drwxr-xr-x 2 yipjustin yipjustin 4096 Nov 12 00:08 . +drwxr-xr-x 17 yipjustin yipjustin 4096 Nov 12 00:09 .. +-rw-r--r-- 1 yipjustin yipjustin 101184982 Nov 5 06:05 pio-assembly-0.8.1-SNAPSHOT.jar +-rw-r--r-- 1 yipjustin yipjustin 101324859 Nov 12 00:09 pio-assembly-0.8.2.jar + +<span class="gp">PredictionIO/assembly$ </span>rm pio-assembly-0.8.1-SNAPSHOT.jar +</pre></td></tr></tbody></table> </div> <h3 id='q:-how-to-resolve-".......<a-href="data/compile:compile">error</a>-java.lang.assertionerror:-assertion-failed:-java.lang.autocloseable"-when-./make_distribution.sh?' class='header-anchors' >Q: How to resolve ".......<a href="data/compile:compile">error</a> java.lang.AssertionError: assertion failed: java.lang.AutoCloseable" when ./make_distribution.sh?</h3><p>PredictionIO only support Java 7 or later. Please make sure you have the correct Java version with the command:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>javac -version +</pre></td></tr></tbody></table> </div> <h2 id='engine-development' class='header-anchors'>Engine Development</h2><h3 id='q:-what's-the-difference-between-p--and-l--prefixed-classes-and-functions?' class='header-anchors'>Q: What's the difference between P- and L- prefixed classes and functions?</h3><p>PredictionIO v0.8 is built on the top of Spark, a massively scalable programming framework. A spark algorithm is different from conventional single machine algorithm in a way that spark algorithms use the <a href="http://spark.apache.org/docs/1.0.1/programming-guide.html#resilient-distributed-datasets-rdds";>RDD</a> abstraction as its primary data type.</p><p>PredictionIO framework natively support both RDD-based algorithms and traditional single-machine algorithms. For controllers prefixed by "P" (i.e. PJavaDataSource, PJavaAlgorithm), their data include RDD abstraction; For "L" controllers, they are traditional single machine algorithms.</p><h2 id='running- hbase' class='header-anchors'>Running HBase</h2><h3 id='q:-how-to-resolve-'exception-in-thread-"main"-java.lang.nullpointerexception-at-org.apache.hadoop.net.dns.reversedns(dns.java:92)'?' class='header-anchors'>Q: How to resolve 'Exception in thread "main" java.lang.NullPointerException at org.apache.hadoop.net.DNS.reverseDns(DNS.java:92)'?</h3><p>HBase relies on reverse DNS be set up properly to function. If your network configuration changes (such as working on a laptop with public WiFi hotspots), there could be a chance that reverse DNS does not function properly. You can install a DNS server on your own computer. Some users have reported that using <a href="https://developers.google.com/speed/public-dns/";>Google Public DNS</a> would also solve the problem.</p></div></div></div></div><footer><div class="container"><div class="seperator"></div><div class="row"><div class="col-md-6 col-xs-6 footer-link-column"><div class="footer-link-column-row" ><h4>Community</h4><ul><li><a href="//docs.prediction.io/install/" >target="blank">Download</a></li><li><a href="//docs.prediction.io/" >target="blank">Docs</a></li><li><a >href="//github.com/apache/incubator-predictionio" >target="blank">GitHub</a></li><li><a >href="mailto:[email protected]"; >target="blank">Subscribe to User Mailing List</a></li><li><a >href="//stackoverflow.com/questions/tagged/predictionio" >target="blank">Stackoverflow</a></li></ul></div></div><div class="col-md-6 >col-xs-6 footer-link-column"><div >class="footer-link-column-row"><h4>Contribute</h4><ul><li><a >href="//predictionio.incubator.apache.org/community/contribute-code/" 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-heading-wrapper"><p>PredictionIO Docs</p><h4>Glossary</h4></div><h4 class="hidden-sm hidden-xs">PredictionIO Docs</h4></div><div class="col-md-3 col-sm-1 col-xs-1 hidden-md hidden-lg"><img id="left-menu-indicator" src="/images/icons/down-arrow-dfe9f7fe.png"/></div><div class="col-md-3 col-sm-12 col-xs-12 swiftype-wrapper"><div class="swiftype"><form class="search-form"><img class="search-box-toggler hidden-xs hidden-sm" src="/images/icons/search-glass-704bd4ff.png"/><div class="search-box"><img src="/images/icons/search-glass-704bd4ff.png"/><input type="text" id="st-search-input" class="st-search-input" placeholder="Search Doc..."/></div><img class="swiftype-row-hider hidden-md hidden-lg" src="/images/icons/drawer-toggle-active-fcbef12a.png"/></form></div></div><div class="mobile-left-menu-toggler hidden-md hidden-lg"></div></div></div></div><div id="page" class="container-fluid"><div class="row"><div id="left-menu-wrapper" class="col-md-3"><nav id="nav-main"><ul><li class="level-1 "><a class="expandible" href="/"><span>Apache PredictionIO (incubating) Documentation</span></a><ul><li class="level-2"><a class="final" href="/"><span>Welcome to Apache PredictionIO (incubating)</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Started</span></a><ul><li class="level-2"><a class="final" href="/start/"><span>A Quick Intro</span></a></li><li class="level-2"><a class="final" href="/install/"><span>Installing Apache PredictionIO (incubating)</span></a></li><li class="level-2"><a class="final" href="/start/download/"><span>Downloading an Engine Template</span></a></li><li class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your First Engine</span></a></li><li class="level-2"><a class="final" href="/start/customize/"><span>Customizing the Engine</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Integrating with Your App</span></a><ul><li class="level-2"><a class="final" href="/appin tegration/"><span>App Integration Overview</span></a></li><li class="level-2"><a class="expandible" href="/sdk/"><span>List of SDKs</span></a><ul><li class="level-3"><a class="final" href="/sdk/java/"><span>Java & Android SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/php/"><span>PHP SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web Service</span></a></li><li class="level-2"><a class="final" href="/cli/#engine-commands"><span>Engine Command-line Interface</span></a></li><li class="level-2"><a class="final" href="/deploy/monitoring/"><s pan>Monitoring Engine</span></a></li><li class="level-2"><a class="final" href="/deploy/engineparams/"><span>Setting Engine Parameters</span></a></li><li class="level-2"><a class="final" href="/deploy/enginevariants/"><span>Deploying Multiple Engine Variants</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a class="final" href="/customize/"><span>Learning DASE</span></a></li><li class="level-2"><a class="final" href="/customize/dase/"><span>Implement DASE</span></a></li><li class="level-2"><a class="final" href="/customize/troubleshooting/"><span>Troubleshooting Engine Development</span></a></li><li class="level-2"><a class="final" href="/api/current/#package"><span>Engine Scala APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Collecting and Analyzing Data</span></a><ul><li class="level-2"><a class="final" href="/datacollection/"><span>Event Server Overview </span></a></li><li class="level-2"><a class="final" href="/cli/#event-server-commands"><span>Event Server Command-line Interface</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventapi/"><span>Collecting Data with REST/SDKs</span></a></li><li class="level-2"><a class="final" href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li class="level-2"><a class="final" href="/datacollection/webhooks/"><span>Unifying Multichannel Data with Webhooks</span></a></li><li class="level-2"><a class="final" href="/datacollection/channel/"><span>Channel</span></a></li><li class="level-2"><a class="final" href="/datacollection/batchimport/"><span>Importing Data in Batch</span></a></li><li class="level-2"><a class="final" href="/datacollection/analytics/"><span>Using Analytics Tools</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Choosing an Algorithm(s)</span></a><ul><li class="level-2"><a class="final" href="/algorithm /"><span>Built-in Algorithm Libraries</span></a></li><li class="level-2"><a class="final" href="/algorithm/switch/"><span>Switching to Another Algorithm</span></a></li><li class="level-2"><a class="final" href="/algorithm/multiple/"><span>Combining Multiple Algorithms</span></a></li><li class="level-2"><a class="final" href="/algorithm/custom/"><span>Adding Your Own Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>ML Tuning and Evaluation</span></a><ul><li class="level-2"><a class="final" href="/evaluation/"><span>Overview</span></a></li><li class="level-2"><a class="final" href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li class="level-2"><a class="final" href="/evaluation/evaluationdashboard/"><span>Evaluation Dashboard</span></a></li><li class="level-2"><a class="final" href="/evaluation/metricchoose/"><span>Choosing Evaluation Metrics</span></a></li><li class="level-2"><a class="final" href="/evaluation/metr icbuild/"><span>Building Evaluation Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>System Architecture</span></a><ul><li class="level-2"><a class="final" href="/system/"><span>Architecture Overview</span></a></li><li class="level-2"><a class="final" href="/system/anotherdatastore/"><span>Using Another Data Store</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li class="level-2"><a class="final" href="/gallery/template-gallery/"><span>Browse</span></a></li><li class="level-2"><a class="final" href="/community/submit-template/"><span>Submit your Engine as a Template</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Demo Tutorials</span></a><ul><li class="level-2"><a class="final" href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li class="level-2"><a class="final" href="/demo/community/"><span>Community Contributed Dem o</span></a></li><li class="level-2"><a class="final" href="/demo/textclassification/"><span>Text Classification Engine Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" href="/community/"><span>Getting Involved</span></a><ul><li class="level-2"><a class="final" href="/community/contribute-code/"><span>Contribute Code</span></a></li><li class="level-2"><a class="final" href="/community/contribute-documentation/"><span>Contribute Documentation</span></a></li><li class="level-2"><a class="final" href="/community/contribute-sdk/"><span>Contribute a SDK</span></a></li><li class="level-2"><a class="final" href="/community/contribute-webhook/"><span>Contribute a Webhook</span></a></li><li class="level-2"><a class="final" href="/community/projects/"><span>Community Projects</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Getting Help</span></a><ul><li class="level-2"><a class="final" href="/resources/faq/"><span>FAQs</span></a></l i><li class="level-2"><a class="final" href="/support/"><span>Support</span></a></li></ul></li><li class="level-1"><a class="expandible" href="#"><span>Resources</span></a><ul><li class="level-2"><a class="final" href="/resources/intellij/"><span>Developing Engines with IntelliJ IDEA</span></a></li><li class="level-2"><a class="final" href="/resources/upgrade/"><span>Upgrade Instructions</span></a></li><li class="level-2"><a class="final active" href="/resources/glossary/"><span>Glossary</span></a></li></ul></li></ul></nav></div><div class="col-md-9 col-sm-12"><div class="content-header hidden-md hidden-lg"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Resources</a><span class="spacer">></span></li><li><span class="last">Glossary</span></li></ul></div><div id="page-title"><h1>Glossary</h1></div></div><div id="table-of-content-wrapper"><a id="edit-page-link" href="https://github.com/apache/incubator-predictionio/tree/livedoc/docs/manual/source/resources/glo ssary.html.md"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Resources</a><span class="spacer">></span></li><li><span class="last">Glossary</span></li></ul></div><div id="page-title"><h1>Glossary</h1></div></div><div class="content"><p><strong>Data Preparator</strong> - Part of Engine. It reads data from source and transforms it to the desired format.</p><p><strong>Data Source</strong> - Part of Engine. It preprocesses the data and forward it to the algorithm for model training.</p><p><strong>Engine</strong> - An Engine represents a type of prediction, e.g. product recommendation. It is comprised of four components: [D] Data Source and Data Preparator, [A] Algorithm, [S] Serving, [E] Evaluation Metrics.</p><p><strong>EngineClient</strong> - Part of PredictionSDK. It sends queries to a deployed engine instance through the Engine API and retrives prediction results.</p><p><strong>Event API</strong> - Please see Event Server.</p><p><strong>Event Server</strong> - Event Server is designed to collect data into PredictionIO in an event-based style. Once the Event Server is launched, your application can send data to it through its Event API with HTTP requests or with the EventClient of PredictionIO's SDKs.</p><p><strong>EventClient</strong> - Please see Event Server.</p><p><strong>Live Evaluation</strong> - Evaluation of prediction results in a production environment. Prediction results are shown to real users. Users do not rate the results explicitly but the system observes user behaviors such as click through rate.</p><p><strong>Offline Evaluation</strong> - The prediction results are compared with pre-compiled offline datasets. Typically, offline evaluations are meant to identify the most promising approaches.</p><p><strong>Test Data</strong> - Also commonly referred as Test Set. A set of data used to assess the strength and utility of a predictive relationship.</p><p><strong>Training Data</strong> - Also commonly referred as Training Set. A set of data used to discover potentially predictive relationships. In PredictionIO Engine, training data is processed through the Data layer and passed onto algorithm.</p></div></div></div></div><footer><div class="container"><div class="seperator"></div><div class="row"><div class="col-md-6 col-xs-6 footer-link-column"><div class="footer-link-column-row"><h4>Community</h4><ul><li><a href="//docs.prediction.io/install/" target="blank">Download</a></li><li><a href="//docs.prediction.io/" target="blank">Docs</a></li><li><a href="//github.com/apache/incubator-predictionio" target="blank">GitHub</a></li><li><a href="mailto:[email protected]"; target="blank">Subscribe to User Mailing List</a></li><li><a href="//stackoverflow.com/questions/tagged/predictionio" target="blank">Stackoverflow</a></li></ul></div></div><div class="col -md-6 col-xs-6 footer-link-column"><div class="footer-link-column-row"><h4>Contribute</h4><ul><li><a href="//predictionio.incubator.apache.org/community/contribute-code/" target="blank">Contribute</a></li><li><a href="//github.com/apache/incubator-predictionio" target="blank">Source Code</a></li><li><a href="//issues.apache.org/jira/browse/PIO" target="blank">Bug Tracker</a></li><li><a href="mailto:[email protected]"; target="blank">Subscribe to Development Mailing List</a></li></ul></div></div></div></div><div id="footer-bottom"><div class="container"><div class="row"><div class="col-md-12"><div id="footer-logo-wrapper"><img alt="PredictionIO" src="/images/logos/logo-white-d1e9c6e6.png"/></div><div id="social-icons-wrapper"><a class="github-button" href="https://github.com/apache/incubator-predictionio"; data-style="mega" data-count-href="/apache/incubator-predictionio/stargazers" data-count-api="/repos/apache/incubator-predictionio#stargazers_count" dat a-count-aria-label="# stargazers on GitHub" aria-label="Star apache/incubator-predictionio on GitHub">Star</a> <a class="github-button" href="https://github.com/apache/incubator-predictionio/fork"; data-icon="octicon-git-branch" data-style="mega" data-count-href="/apache/incubator-predictionio/network" data-count-api="/repos/apache/incubator-predictionio#forks_count" data-count-aria-label="# forks on GitHub" aria-label="Fork apache/incubator-predictionio on GitHub">Fork</a> <script id="github-bjs" async="" defer="" src="https://buttons.github.io/buttons.js";></script><a href="//www.facebook.com/predictionio" target="blank"><img alt="PredictionIO on Twitter" src="/images/icons/twitter-ea9dc152.png"/></a> <a href="//twitter.com/predictionio" target="blank"><img alt="PredictionIO on Facebook" src="/images/icons/facebook-5c57939c.png"/></a> </div></div></div></div></div></footer></div><script>(function(w,d,t,u,n,s,e){w['SwiftypeObject']=n;w[n]=w[n]||function(){ +(w[n].q=w[n].q||[]).push(arguments);};s=d.createElement(t); +e=d.getElementsByTagName(t)[0];s.async=1;s.src=u;e.parentNode.insertBefore(s,e); +})(window,document,'script','//s.swiftypecdn.com/install/v1/st.js','_st'); + +_st('install','HaUfpXXV87xoB_zzCQ45');</script><script src="/javascripts/application-f819cf19.js"></script></body></html> \ No newline at end of file http://git-wip-us.apache.org/repos/asf/incubator-predictionio-site/blob/5b520d3f/resources/glossary/index.html.gz ---------------------------------------------------------------------- diff --git a/resources/glossary/index.html.gz b/resources/glossary/index.html.gz new file mode 100644 index 0000000..3b52133 Binary files /dev/null and b/resources/glossary/index.html.gz differ
