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| <h1 class="page-title">Storm PMML Bolt</h1> |
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| <div class="documentation-content"><p>Storm integration to load PMML models and compute predictive scores for running tuples. The PMML model represents |
| the machine learning (predictive) model used to do prediction on raw input data. The model is typically loaded into a |
| runtime environment, which will score the raw data that comes in the tuples. </p> |
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| <h2 id="create-instance-of-pmml-bolt">Create Instance of PMML Bolt</h2> |
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| <p>To create an instance of the <code>PMMLPredictorBolt</code>, you must provide the <code>ModelOutputs</code>, and a <code>ModelRunner</code> using a |
| <code>ModelRunnerFactory</code>. The <code>ModelOutputs</code> represents the streams and output fields declared by the <code>PMMLPredictorBolt</code>. |
| The <code>ModelRunner</code> represents the runtime environment to execute the predictive scoring. It has only one method: </p> |
| <div class="highlight"><pre><code class="language-java" data-lang="java"> <span class="n">Map</span><span class="o"><</span><span class="n">String</span><span class="o">,</span> <span class="n">List</span><span class="o"><</span><span class="n">Object</span><span class="o">>></span> <span class="nf">scoredTuplePerStream</span><span class="o">(</span><span class="n">Tuple</span> <span class="n">input</span><span class="o">);</span> |
| </code></pre></div> |
| <p>This method contains the logic to compute the scored tuples from the raw inputs tuple. It's up to the discretion of the |
| implementation to define which scored values are to be assigned to each stream. The keys of this map are the stream ids, |
| and the values the predicted scores. </p> |
| |
| <p>The <code>PmmlModelRunner</code> is an extension of <code>ModelRunner</code> that represents the typical steps involved |
| in predictive scoring. Hence, it allows for the <strong>extraction</strong> of raw inputs from the tuple, <strong>pre process</strong> the |
| raw inputs, and <strong>predict</strong> the scores from the preprocessed data.</p> |
| |
| <p>The <code>JPmmlModelRunner</code> is an implementation of <code>PmmlModelRunner</code> that uses <a href="https://github.com/jpmml/jpmml">JPMML</a> as |
| runtime environment. This implementation extracts the raw inputs from the tuple for all <code>active fields</code>, |
| and builds a tuple with the predicted scores for the <code>predicted fields</code> and <code>output fields</code>. |
| In this implementation all the declared streams will have the same scored tuple.</p> |
| |
| <p>The <code>predicted</code>, <code>active</code>, and <code>output</code> fields are extracted from the PMML model.</p> |
| |
| <h2 id="run-bundled-examples">Run Bundled Examples</h2> |
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| <p>To run the examples you must execute the following command:</p> |
| <div class="highlight"><pre><code class="language-java" data-lang="java"> <span class="n">STORM</span><span class="o">-</span><span class="n">HOME</span><span class="o">/</span><span class="n">bin</span><span class="o">/</span><span class="n">storm</span> <span class="n">jar</span> <span class="n">STORM</span><span class="o">-</span><span class="n">HOME</span><span class="o">/</span><span class="n">examples</span><span class="o">/</span><span class="n">storm</span><span class="o">-</span><span class="n">pmml</span><span class="o">-</span><span class="n">examples</span><span class="o">/</span><span class="n">storm</span><span class="o">-</span><span class="n">pmml</span><span class="o">-</span><span class="n">examples</span><span class="o">-</span><span class="mf">2.0</span><span class="o">.</span><span class="mi">0</span><span class="o">-</span><span class="n">SNAPSHOT</span><span class="o">.</span><span class="na">jar</span> |
| <span class="n">org</span><span class="o">.</span><span class="na">apache</span><span class="o">.</span><span class="na">storm</span><span class="o">.</span><span class="na">pmml</span><span class="o">.</span><span class="na">JpmmlRunnerTestTopology</span> <span class="n">jpmmlTopology</span> <span class="n">PMMLModel</span><span class="o">.</span><span class="na">xml</span> <span class="n">RawInputData</span><span class="o">.</span><span class="na">csv</span> |
| </code></pre></div></div> |
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