Repository: incubator-hivemall-site Updated Branches: refs/heads/asf-site 1c94a8817 -> ce452ddb9
http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ce452ddb/userguide/tips/mixserver.html ---------------------------------------------------------------------- diff --git a/userguide/tips/mixserver.html b/userguide/tips/mixserver.html index 321bfae..248b0c1 100644 --- a/userguide/tips/mixserver.html +++ b/userguide/tips/mixserver.html @@ -125,7 +125,7 @@ <li> - <a href="http://hivemall.incubator.apache.org/" target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a> + <a href="https://hivemall.incubator.apache.org/" target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a> </li> @@ -2311,7 +2311,7 @@ You can find a brief explanation of the internal design of MIX protocol in <a hr </code></pre> <p>We assume in this example that Mix servers are running on host01, host03 and host03. The default port used by Mix server is 11212 and the port is configurable through "-port" option of run_mixserv.sh. </p> -<p>See <a href="https://github.com/myui/hivemall/blob/master/mixserv/src/main/java/hivemall/mix/server/MixServer.java#L90" target="_blank">MixServer.java</a> to get detail of the Mix server options.</p> +<p>See <a href="https://github.com/apache/incubator-hivemall/blob/master/mixserv/src/main/java/hivemall/mix/server/MixServer.java#L90-L104" target="_blank">MixServer.java</a> to get detail of the Mix server options.</p> <p>We recommended to use multiple MIX servers to get better MIX throughput (3-5 or so would be enough for normal cluster size). The MIX protocol of Hivemall is <em>horizontally scalable</em> by adding MIX server nodes.</p> <h1 id="using-mix-protocol-through-hivemall">Using Mix Protocol through Hivemall</h1> <p><a href="../getting_started/installation.html">Install Hivemall</a> on Hive.</p> @@ -2391,7 +2391,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"Mixing models for a better prediction convergence (MIX server)","level":"1.4.5","depth":2,"next":{"title":"Run Hivemall on Amazon Elastic MapReduce","level":"1.4.6","depth":2,"path":"tips/emr.md","ref":"tips/emr.md","articles":[]},"previous":{"title":"Ensemble learning for stable prediction","level":"1.4.4","depth":2,"path":"tips/ensemble_learning.md","ref":"tips/ensemble_learning.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"githu b":{"url":"https://github.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styl es/ebook.css","print":"styles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"tips/mixserver.md","mtime":"2018-08-29T08:55:00.297Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-09-05T09:13:37.462Z"},"basePath":"..","book":{"language":""}}); 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}); </script> </div> http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ce452ddb/userguide/tips/rand_amplify.html ---------------------------------------------------------------------- diff --git a/userguide/tips/rand_amplify.html b/userguide/tips/rand_amplify.html index 42fe7c0..e12f5f9 100644 --- a/userguide/tips/rand_amplify.html +++ b/userguide/tips/rand_amplify.html @@ -125,7 +125,7 @@ <li> - <a href="http://hivemall.incubator.apache.org/" target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a> + <a href="https://hivemall.incubator.apache.org/" target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a> </li> @@ -2282,7 +2282,7 @@ under the License. --> <p>This article explains <em>amplify</em> technique that is useful for improving prediction score.</p> -<p>Iterations are mandatory in machine learning (e.g., in <a href="http://en.wikipedia.org/wiki/Stochastic_gradient_descent" target="_blank">stochastic gradient descent</a>) to get good prediction models. However, MapReduce is known to be not suited for iterative algorithms because IN/OUT of each MapReduce job is through HDFS.</p> +<p>Iterations are mandatory in machine learning (e.g., in <a href="https://en.wikipedia.org/wiki/Stochastic_gradient_descent" target="_blank">stochastic gradient descent</a>) to get good prediction models. However, MapReduce is known to be not suited for iterative algorithms because IN/OUT of each MapReduce job is through HDFS.</p> <p>In this example, we show how Hivemall deals with this problem. We use <a href="../regression/kddcup12tr2_dataset.html">KDD Cup 2012, Track 2 Task</a> as an example.</p> <!-- toc --><div id="toc" class="toc"> @@ -2333,7 +2333,7 @@ So, we recommend users to use an amplified view for training as follows:</p> <p>Using <em>trainning_x3</em> instead of the plain training table results in higher and better AUC (0.746214) in <a href="../regression/kddcup12tr2_lr_amplify.html#conclusion">this example</a>.</p> <p>A problem in <code>amplify()</code> is that the shuffle (copy) and merge phase of the stage 1 could become a bottleneck. When the training table is so large that involves 100 Map tasks, the merge operator needs to merge at least 100 files by (external) merge sort! </p> -<p>Note that the actual bottleneck is not M/R iterations but shuffling training instance. Iteration without shuffling (as in <a href="http://spark.incubator.apache.org/examples.html" target="_blank">the Spark example</a>) causes very slow convergence and results in requiring more iterations. Shuffling cannot be avoided even in iterative MapReduce variants.</p> +<p>Note that the actual bottleneck is not M/R iterations but shuffling training instance. Iteration without shuffling (as in <a href="https://spark.incubator.apache.org/examples.html" target="_blank">the Spark example</a>) causes very slow convergence and results in requiring more iterations. Shuffling cannot be avoided even in iterative MapReduce variants.</p> <p><img src="../resources/images/amplify_elapsed.png" alt="amplify_elapsed"></p> <hr> <h1 id="amplify-and-shuffle-training-examples-in-each-map-task">Amplify and shuffle training examples in each Map task</h1> @@ -2438,7 +2438,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"Use rand_amplify() to better prediction results","level":"1.4.2","depth":2,"next":{"title":"Real-time prediction on RDBMS","level":"1.4.3","depth":2,"path":"tips/rt_prediction.md","ref":"tips/rt_prediction.md","articles":[]},"previous":{"title":"Explicit add_bias() for better prediction","level":"1.4.1","depth":2,"path":"tips/addbias.md","ref":"tips/addbias.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://githu b.com/apache/incubator-hivemall/"},"splitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"s tyles/print.css"},"showLevel":true},"anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"tips/rand_amplify.md","mtime":"2018-08-29T08:55:00.297Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-09-05T09:13:37.462Z"},"basePath":"..","book":{"language":""}}); 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}); </script> </div> http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ce452ddb/userguide/troubleshooting/mapjoin_classcastex.html ---------------------------------------------------------------------- diff --git a/userguide/troubleshooting/mapjoin_classcastex.html b/userguide/troubleshooting/mapjoin_classcastex.html index cc14dd7..0f17489 100644 --- a/userguide/troubleshooting/mapjoin_classcastex.html +++ b/userguide/troubleshooting/mapjoin_classcastex.html @@ -125,7 +125,7 @@ <li> - <a href="http://hivemall.incubator.apache.org/" target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a> + <a href="https://hivemall.incubator.apache.org/" target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a> </li> @@ -2281,7 +2281,7 @@ specific language governing permissions and limitations under the License. --> -<p>Map-side join on Tez causes <a href="http://markmail.org/message/7cwbgupnhah6ggkv" target="_blank">ClassCastException</a> when a serialized table contains array column(s).</p> +<p>Map-side join on Tez causes <a href="https://markmail.org/message/7cwbgupnhah6ggkv" target="_blank">ClassCastException</a> when a serialized table contains array column(s).</p> <p>[Workaround] Try setting <em>hive.mapjoin.optimized.hashtable</em> off as follows:</p> <pre><code class="lang-sql"><span class="hljs-keyword">set</span> hive.mapjoin.optimized.hashtable=<span class="hljs-literal">false</span>; 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}); </script> </div> http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/ce452ddb/userguide/troubleshooting/oom.html ---------------------------------------------------------------------- diff --git a/userguide/troubleshooting/oom.html b/userguide/troubleshooting/oom.html index 36c9949..ab76b5b 100644 --- a/userguide/troubleshooting/oom.html +++ b/userguide/troubleshooting/oom.html @@ -125,7 +125,7 @@ <li> - <a href="http://hivemall.incubator.apache.org/" target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a> + <a href="https://hivemall.incubator.apache.org/" target="_blank" class="custom-link"><i class="fa fa-home"></i> Home</a> </li> @@ -2288,7 +2288,7 @@ <pre><code>SET mapred.max.split.size=67108864; </code></pre><p>Then, the number of training examples used for each trainer is reduced (as the number of mappers increases) and the trained model would fit in the memory.</p> <h1 id="oom-in-shufflemerge">OOM in shuffle/merge</h1> -<p>If OOM caused during the merge step, try setting a larger <strong>mapred.reduce.tasks</strong> value before training and revise <a href="http://hadoop.apache.org/docs/r1.0.4/mapred_tutorial.html#Shuffle%2FReduce+Parameters" target="_blank">shuffle/reduce parameters</a>.</p> +<p>If OOM caused during the merge step, try setting a larger <strong>mapred.reduce.tasks</strong> value before training and revise <a href="https://hadoop.apache.org/docs/r1.0.4/mapred_tutorial.html#Shuffle%2FReduce+Parameters" target="_blank">shuffle/reduce parameters</a>.</p> <pre><code>SET mapred.reduce.tasks=64; </code></pre><p>If your OOM happened by using amplify(), try using rand_amplify() instead.</p> <p><div id="page-footer" class="localized-footer"><hr><!-- @@ -2346,7 +2346,7 @@ Apache Hivemall is an effort undergoing incubation at The Apache Software Founda <script> var gitbook = gitbook || []; gitbook.push(function() { - gitbook.page.hasChanged({"page":{"title":"OutOfMemoryError in training","level":"1.6.1","depth":2,"next":{"title":"SemanticException generate map join task error: Cannot serialize object","level":"1.6.2","depth":2,"path":"troubleshooting/mapjoin_task_error.md","ref":"troubleshooting/mapjoin_task_error.md","articles":[]},"previous":{"title":"Troubleshooting","level":"1.6","depth":1,"path":"troubleshooting/README.md","ref":"troubleshooting/README.md","articles":[{"title":"OutOfMemoryError in training","level":"1.6.1","depth":2,"path":"troubleshooting/oom.md","ref":"troubleshooting/oom.md","articles":[]},{"title":"SemanticException generate map join task error: Cannot serialize object","level":"1.6.2","depth":2,"path":"troubleshooting/mapjoin_task_error.md","ref":"troubleshooting/mapjoin_task_error.md","articles":[]},{"title":"Asterisk argument for UDTF does not work","level":"1.6.3","depth":2,"path":"troubleshooting/asterisk.md","ref":"troubleshooting/asterisk.md","article s":[]},{"title":"The number of mappers is less than input splits in Hadoop 2.x","level":"1.6.4","depth":2,"path":"troubleshooting/num_mappers.md","ref":"troubleshooting/num_mappers.md","articles":[]},{"title":"Map-side join causes ClassCastException on Tez","level":"1.6.5","depth":2,"path":"troubleshooting/mapjoin_classcastex.md","ref":"troubleshooting/mapjoin_classcastex.md","articles":[]}]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","github","splitter","sitemap","etoc","callouts","toggle-chapters","anchorjs","codeblock-filename","expandable-chapters","multipart","codeblock-filename","katex","emphasize","localized-footer"],"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"pluginsConfig":{"emphasize":{},"callouts":{},"etoc":{"h2lb":3,"header":1,"maxdepth":3,"mindepth":1,"notoc":true},"github":{"url":"https://github.com/apache/incubator-hivemall/"},"s plitter":{},"search":{},"downloadpdf":{"base":"https://github.com/apache/incubator-hivemall/docs/gitbook","label":"PDF","multilingual":false},"multipart":{},"localized-footer":{"filename":"FOOTER.md","hline":"true"},"lunr":{"maxIndexSize":1000000,"ignoreSpecialCharacters":false},"katex":{},"fontsettings":{"theme":"white","family":"sans","size":2,"font":"sans"},"highlight":{},"codeblock-filename":{},"sitemap":{"hostname":"http://hivemall.incubator.apache.org/"},"theme-api":{"languages":[],"split":false,"theme":"dark"},"sharing":{"facebook":true,"twitter":true,"google":false,"weibo":false,"instapaper":false,"vk":false,"all":["facebook","google","twitter","weibo","instapaper"]},"edit-link":{"label":"Edit","base":"https://github.com/apache/incubator-hivemall/tree/master/docs/gitbook"},"theme-default":{"styles":{"website":"styles/website.css","pdf":"styles/pdf.css","epub":"styles/epub.css","mobi":"styles/mobi.css","ebook":"styles/ebook.css","print":"styles/print.css"},"showLevel":true}," anchorjs":{"selector":"h1,h2,h3,*:not(.callout) > h4,h5"},"toggle-chapters":{},"expandable-chapters":{}},"theme":"default","pdf":{"pageNumbers":true,"fontSize":12,"fontFamily":"Arial","paperSize":"a4","chapterMark":"pagebreak","pageBreaksBefore":"/","margin":{"right":62,"left":62,"top":56,"bottom":56}},"structure":{"langs":"LANGS.md","readme":"README.md","glossary":"GLOSSARY.md","summary":"SUMMARY.md"},"variables":{},"title":"Hivemall User Manual","links":{"sidebar":{"<i class=\"fa fa-home\"></i> Home":"http://hivemall.incubator.apache.org/"}},"gitbook":"3.x.x","description":"User Manual for Apache Hivemall"},"file":{"path":"troubleshooting/oom.md","mtime":"2018-08-29T08:55:00.298Z","type":"markdown"},"gitbook":{"version":"3.2.3","time":"2018-09-05T09:13:37.462Z"},"basePath":"..","book":{"language":""}}); 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