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		<title>What is the difference between apache mahout and Prediction.io ?</title>
		<link>https://www.wikitechy.com/interview-questions/mahout/what-is-the-difference-between-apache-mahout-and-prediction-io/</link>
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		<dc:creator><![CDATA[Editor]]></dc:creator>
		<pubDate>Tue, 20 Jul 2021 03:21:23 +0000</pubDate>
				<category><![CDATA[Mahout]]></category>
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		<category><![CDATA[Advanced Apache Mahout Interview Questions]]></category>
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					<description><![CDATA[Answer : The three components of Mahout...]]></description>
										<content:encoded><![CDATA[<div class="TextHeading">
<div class="hddn">
<h2 id="difference-between-prediction-io-and-apache-mahout" class="color-purple">Difference between Prediction.io and apache mahout</h2>
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<th>Apache mahout</th>
<th>Prediction.io</th>
</tr>
<tr>
<td class="text-leftalign"><b>FEATURES:</b> The three components of Mahout are an<br />
environment for building scalable algorithms,many new<br />
Scala + Spark and H2O (Apache Flink in progress)<br />
algorithms, and Mahout&#8217;s mature Hadoop MapReduce<br />
algorithms.</td>
<td class="text-leftalign"><b>FEATURES:</b> The Prediction.io supports event collection, evaluation, deployment of algorithms, querying predictive results via REST APIs.</td>
</tr>
<tr>
<td class="text-leftalign"><b>PROGRAMMING LANGUAGES:</b> Java, Python, Ruby</td>
<td class="text-leftalign"><b>PROGRAMMING LANGUAGES:</b> Java</td>
</tr>
<tr>
<td class="text-leftalign"><b>SOURCE TYPE:</b> Open</td>
<td class="text-leftalign"><b>SOURCE TYPE:</b> Open</td>
</tr>
<tr>
<td class="text-leftalign">Individual can create analytics apps with Mahout,<br />
if you want the apps as an API or as a server,<br />
individual needs something like Prediction.IO</td>
<td class="text-leftalign">Prediction.io wants an algorithm layer; it comes with Apache Spark as well as Stanford NLP, but individual also can use Mahout.</td>
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		<title>What is the difference between Apache Mahout and Spark MLLib ?</title>
		<link>https://www.wikitechy.com/interview-questions/mahout/what-is-the-difference-between-apache-mahout-and-spark-mllib/</link>
					<comments>https://www.wikitechy.com/interview-questions/mahout/what-is-the-difference-between-apache-mahout-and-spark-mllib/#respond</comments>
		
		<dc:creator><![CDATA[Editor]]></dc:creator>
		<pubDate>Tue, 20 Jul 2021 03:18:20 +0000</pubDate>
				<category><![CDATA[Mahout]]></category>
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		<category><![CDATA[apache mahout example]]></category>
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		<category><![CDATA[mllib vs h2o]]></category>
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		<category><![CDATA[what is apache mahout]]></category>
		<guid isPermaLink="false">https://www.wikitechy.com/interview-questions/?p=1078</guid>

					<description><![CDATA[Answer : Apache Mahout is a multi-backend capable high level system...]]></description>
										<content:encoded><![CDATA[<div class="TextHeading">
<div class="hddn">
<h2 id="differences-between-apache-mahout-and-spark-mllib" class="color-purple" style="text-align: justify;">Differences between Apache Mahout and Spark MLLib:</h2>
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<ul>
<li>Apache Mahout is a multi-backend capable high level system with implementations of some scalable algorithms.</li>
<li>These fundamentally include large-scale matrix decomposition and recommendation algorithms, yet any linear algebra based issue can be attacked with Mahout.</li>
<li>Efficient implementation is likely at this point to require improvement of the current optimizer (which is relatively easy to do), but when the optimizer is able to simplify the program, the results are quite dramatic.</li>
<li>Mahout also supports both Spark and H2O back-ends while MLLib is bound only to Spark.</li>
<li>If Spark manages to dominate all other possible back-ends (such as H2O, Julia or many others) then it is likely that MLLib will do as well as Mahout on performance.</li>
<li>On the other hand, with back ends that have super high performance specialized capabilities, Mahout will give you port programs to utilize these capabilities very efficiently.</li>
<li>MLLib is new and has yet to really hit its stride while Mahout is older and has belongings from the earlier period.</li>
<li>These to characteristics are opposite sides of the similar coin. Mahout focuses on algorithms for which there is a wide-spread need for scalable algorithms. MLLib is considerably more liberal with what is gotten.</li>
</ul>
</div>
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<div class="Content" style="text-align: justify;">
<div class="hddn">
<ul>
<li>Mahout and MLLib both have a typical execution engine.</li>
<li>Apache Mahout focuses on machine learning and have a rich set of algorithms, while MLLib only adopt various develop and basic algorithms.</li>
</ul>
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