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entity: "attr0", "attr1", "attr2" and "plan". You can modify the <a href="/templates/classification/dase/#data">default DataSource</a> to read to read your custom properties or different Entity Type.</p><p>In this example, we modify DataSource to read properties "featureA", "featureB", "featureC", "featureD" and "label" for entity type "item".</p> <blockquote> <blockquote> <p>Note: you also need import events with these properties accordingly.</p></blockquote> </blockquote> <p>Modify the <code>readTraining()</code> in DataSource.scala:</p> <ul> <li>modify t he <code>entityType</code> parameter</li> <li>modify the list of properties names in the <code>required</code> parameter</li> <li>modify how to create the <code>LabeledPoint</code> object using the entity properties</li> </ul> <div class="highlight scala"><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 +20 +21 +22 +23 +24 +25 +26 +27 +28 +29 +30</pre></td><td class="code"><pre> <span class="k">def</span> <span class="n">readTraining</span><span class="o">(</span><span class="n">sc</span><span class="k">:</span> <span class="kt">SparkContext</span><span class="o">)</span><span class="k">:</span> <span class="kt">TrainingData</span> <span class="o">=</span> <span class="o">{</span> + <span class="o">...</span> + <span class="k">val</span> <span class="n">labeledPoints</span><span class="k">:</span> <span class="kt">RDD</span><span class="o">[</span><span class="kt">LabeledPoint</span><span class="o">]</span> <span class="k">=</span> <span class="n">eventsDb</span><span class="o">.</span><span class="n">aggregateProperties</span><span class="o">(</span> + <span class="n">appId</span> <span class="k">=</span> <span class="n">dsp</span><span class="o">.</span><span class="n">appId</span><span class="o">,</span> + <span class="n">entityType</span> <span class="k">=</span> <span class="s">"item"</span><span class="o">,</span> <span class="c1">// MODIFFIED HERE +</span> <span class="n">required</span> <span class="k">=</span> <span class="nc">Some</span><span class="o">(</span><span class="nc">List</span><span class="o">(</span> <span class="c1">// MODIFIED HERE +</span> <span class="s">"featureA"</span><span class="o">,</span> <span class="s">"featureB"</span><span class="o">,</span> <span class="s">"featureC"</span><span class="o">,</span> <span class="s">"featureD"</span><span class="o">,</span> <span class="s">"label"</span><span class="o">)))(</span><span class="n">sc</span><span class="o">)</span> + <span class="c1">// aggregateProperties() returns RDD pair of +</span> <span class="c1">// entity ID and its aggregated properties +</span> <span class="o">.</span><span class="n">map</span> <span class="o">{</span> <span class="k">case</span> <span class="o">(</span><span class="n">entityId</span><span class="o">,</span> <span class="n">properties</span><span class="o">)</span> <span class="k">=></span> + <span class="k">try</span> <span class="o">{</span> + <span class="c1">// MODIFIED HERE +</span> <span class="nc">LabeledPoint</span><span class="o">(</span><span class="n">properties</span><span class="o">.</span><span class="n">get</span><span class="o">[</span><span class="kt">Double</span><span class="o">](</span><span class="s">"label"</span><span class="o">),</span> + <span class="nc">Vectors</span><span class="o">.</span><span class="n">dense</span><span class="o">(</span><span class="nc">Array</span><span class="o">(</span> + <span class="n">properties</span><span class="o">.</span><span class="n">get</span><span class="o">[</span><span class="kt">Double</span><span class="o">](</span><span class="s">"featureA"</span><span class="o">),</span> + <span class="n">properties</span><span class="o">.</span><span class="n">get</span><span class="o">[</span><span class="kt">Double</span><span class="o">](</span><span class="s">"featureB"</span><span class="o">),</span> + <span class="n">properties</span><span class="o">.</span><span class="n">get</span><span class="o">[</span><span class="kt">Double</span><span class="o">](</span><span class="s">"featureC"</span><span class="o">),</span> + <span class="n">properties</span><span class="o">.</span><span class="n">get</span><span class="o">[</span><span class="kt">Double</span><span class="o">](</span><span class="s">"featureD"</span><span class="o">)</span> + <span class="o">))</span> + <span class="o">)</span> + <span class="o">}</span> <span class="k">catch</span> <span class="o">{</span> + <span class="k">case</span> <span class="n">e</span><span class="k">:</span> <span class="kt">Exception</span> <span class="o">=></span> <span class="o">{</span> + <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="o">(</span><span class="n">s</span><span class="s">"Failed to get properties ${properties} of"</span> <span class="o">+</span> + <span class="n">s</span><span class="s">" ${entityId}. Exception: ${e}."</span><span class="o">)</span> + <span class="k">throw</span> <span class="n">e</span> + <span class="o">}</span> + <span class="o">}</span> + <span class="o">}</span> + <span class="o">...</span> + <span class="o">}</span> +</pre></td></tr></tbody></table> </div> <p>Lastly, redefine the Query class parameters to take in four double values: featureA, featureB, featureC, and featureD. Now, to send a query, the field names must be changed accordingly:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ </span>curl -H <span class="s2">"Content-Type: application/json"</span> -d <span class="s1">'{ "featureA":2, "featureB":0, "featureC":0, "featureD":0 }'</span> http://localhost:8000/queries.json +</pre></td></tr></tbody></table> </div> <p>That's it! 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pandible" 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="/appintegration/"><s 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