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<!DOCTYPE html >
<html>
<head>
<title>examples - ML API - Apache Spark 0.7.2-SNAPSHOT API - net.sansa_stack.ml.spark.similarity.examples</title>
<meta name="description" content="examples - ML API - Apache Spark 0.7.2 - SNAPSHOT API - net.sansa stack.ml.spark.similarity.examples" />
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<img alt="Package" src="../../../../../../lib/package_big.png" />
<p id="owner"><a href="../../../../../package.html" class="extype" name="net">net</a>.<a href="../../../../package.html" class="extype" name="net.sansa_stack">sansa_stack</a>.<a href="../../../package.html" class="extype" name="net.sansa_stack.ml">ml</a>.<a href="../../package.html" class="extype" name="net.sansa_stack.ml.spark">spark</a>.<a href="../package.html" class="extype" name="net.sansa_stack.ml.spark.similarity">similarity</a></p>
<h1>examples</h1><span class="permalink">
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<p class="shortcomment cmt">This class object presents the minimal option to call available similarity functions
we read in our data over SANSA RDF
We extract the Features over FeatureExtractorModel
The extracted String based features are transformed to a index represenatation by Spark MLlib Count Vectorizer
then we perform the differen similarity or distance models
always one for nearest neighbors
one for all pair similarity
all intermediate steps are printed in cmd line
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