http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/templates/recommendation/quickstart/index.html ---------------------------------------------------------------------- diff --git a/templates/recommendation/quickstart/index.html b/templates/recommendation/quickstart/index.html index 777ab45..eb01858 100644 --- a/templates/recommendation/quickstart/index.html +++ b/templates/recommendation/quickstart/index.html @@ -32,7 +32,7 @@ Your system is all ready to go. <span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> MyApp1 | 1 | 3mZWDzci2D5YsqAnqNnXH9SB6Rg3dsTBs8iHkK6X2i54IQsIZI1eEeQQyMfs7b3F | <span class="o">(</span>all<span class="o">)</span> <span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> MyApp2 | 2 | io5lz6Eg4m3Xe4JZTBFE13GMAf1dhFl6ZteuJfrO84XpdOz9wRCrDU44EUaYuXq5 | <span class="o">(</span>all<span class="o">)</span> <span class="o">[</span>INFO] <span class="o">[</span>App<span class="nv">$]</span> Finished listing 2 app<span class="o">(</span>s<span class="o">)</span>. -</pre></td></tr></tbody></table> </div> <p><a href="#"></a></p> <h2 id='4.-collecting-data' class='header-anchors'>4. Collecting Data</h2><p>Next, let's collect some training data. By default, the Recommendation Engine Template supports 2 types of events: <strong>rate</strong> and <strong>buy</strong>. A user can give a rating score to an item or buy an item. This template requires user-view-item and user-buy-item events.</p><div class="alert-message info"><p>This template can easily be customized to consider more user events such as <em>like</em>, <em>dislike</em> etc.</p></div> <p>You can send these events to PredictionIO Event Server in real-time easily by making a HTTP request or through the provided SDK. Please see <a href="/appintegration/">App Integration Overview</a> for more details how to integrate your app with SDK.</p><p>Let's try sending events to EventServer with the following <code>curl</code> commands (The corresponding SDK code is showed in other tabs).</p>< p>Replace <code><ACCCESS_KEY></code> by the Access Key generated in above steps. Note that <code>localhost:7070</code> is the default URL of the Event Server.</p><p>For convenience, set your access key to the shell variable, run:</p><p><code>$ ACCESS_KEY=<ACCESS_KEY></code></p> <p><a href="#"></a></p> <h3 id='example-<strong>rate</strong>-event' class='header-anchors' >Example <strong>rate</strong> event</h3><p>A user (ID "u0") gives an item (ID "i0") a rating of 5 at <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified)</p><p>Run the following <code>curl</code> command to send the <code>rate</code> event:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-06cb4bc5-62ac-4757-9bbf-95bec188ad31">REST API</a></li> <li data-lang="python"><a href="#tab-93b08341-c8ca-455c-9caa-f372930c514c">Python SDK</a></li> <li data-lang="php"><a href="#tab-36074cdd-1ddd-4a35-9650-813c4d0683c7">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-05e938c1-52cf-4c26-b025-9945326be373">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-1534cc40-b709-47ce-947f-61d7eb66cf1a">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-06cb4bc5-62ac-4757-9bbf-95bec188ad31"> <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></tr></tbody></table> </div> <p><a href="#"></a></p> <h2 id='4.-collecting-data' class='header-anchors'>4. Collecting Data</h2><p>Next, let's collect some training data. By default, the Recommendation Engine Template supports 2 types of events: <strong>rate</strong> and <strong>buy</strong>. A user can give a rating score to an item or buy an item. This template requires user-view-item and user-buy-item events.</p><div class="alert-message info"><p>This template can easily be customized to consider more user events such as <em>like</em>, <em>dislike</em> etc.</p></div> <p>You can send these events to PredictionIO Event Server in real-time easily by making a HTTP request or through the provided SDK. Please see <a href="/appintegration/">App Integration Overview</a> for more details how to integrate your app with SDK.</p><p>Let's try sending events to EventServer with the following <code>curl</code> commands (The corresponding SDK code is showed in other tabs).</p>< p>Replace <code><ACCCESS_KEY></code> by the Access Key generated in above steps. Note that <code>localhost:7070</code> is the default URL of the Event Server.</p><p>For convenience, set your access key to the shell variable, run:</p><p><code>$ ACCESS_KEY=<ACCESS_KEY></code></p> <p><a href="#"></a></p> <h3 id='example-<strong>rate</strong>-event' class='header-anchors' >Example <strong>rate</strong> event</h3><p>A user (ID "u0") gives an item (ID "i0") a rating of 5 at <code>2014-11-02T09:39:45.618-08:00</code> (current time will be used if eventTime is not specified)</p><p>Run the following <code>curl</code> command to send the <code>rate</code> event:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-fd54f271-bb14-40f0-84aa-128b26434ae5">REST API</a></li> <li data-lang="python"><a href="#tab-c5c06992-c600-4a3b-bddd-cc4b43a445f6">Python SDK</a></li> <li data-lang="php"><a href="#tab-5038952e-6bc2-4e56-87cb-12c487d0ab2c">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-ae48cb94-c363-44cb-99a2-2ed3bc072091">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-00e41adf-32cd-4f9e-84da-be59aacc0c2f">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-fd54f271-bb14-40f0-84aa-128b26434ae5"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 2 3 4 @@ -57,7 +57,7 @@ Your system is all ready to go. } "eventTime" : "2014-11-02T09:39:45.618-08:00" }'</span> -</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-93b08341-c8ca-455c-9caa-f372930c514c"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 +</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-c5c06992-c600-4a3b-bddd-cc4b43a445f6"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 2 3 4 @@ -92,7 +92,7 @@ Your system is all ready to go. <span class="n">target_entity_id</span><span class="o">=<</span><span class="n">ITEM</span> <span class="n">ID</span><span class="o">></span><span class="p">,</span> <span class="n">properties</span><span class="o">=</span> <span class="p">{</span> <span class="s">"rating"</span> <span class="p">:</span> <span class="nb">float</span><span class="p">(</span><span class="o"><</span><span class="n">RATING</span><span class="o">></span><span class="p">)</span> <span class="p">}</span> <span class="p">)</span> -</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-36074cdd-1ddd-4a35-9650-813c4d0683c7"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 +</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-5038952e-6bc2-4e56-87cb-12c487d0ab2c"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 2 3 4 @@ -123,7 +123,7 @@ Your system is all ready to go. <span class="s1">'properties'</span> <span class="o">=></span> <span class="k">array</span><span class="p">(</span><span class="s1">'rating'</span><span class="o">=></span> <span class="o"><</span><span class="nx">RATING</span><span class="o">></span><span class="p">)</span> <span class="p">));</span> <span class="cp">?></span> -</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-05e938c1-52cf-4c26-b025-9945326be373"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 +</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-ae48cb94-c363-44cb-99a2-2ed3bc072091"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 2 3 4 @@ -150,7 +150,7 @@ Your system is all ready to go. <span class="p">}</span> <span class="p">)</span> -</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-1534cc40-b709-47ce-947f-61d7eb66cf1a"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 +</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-00e41adf-32cd-4f9e-84da-be59aacc0c2f"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 2 3 4 @@ -179,7 +179,7 @@ Your system is all ready to go. <span class="o">.</span><span class="na">property</span><span class="o">(</span><span class="s">"rating"</span><span class="o">,</span> <span class="k">new</span> <span class="n">Float</span><span class="o">(<</span><span class="n">RATING</span><span class="o">>));</span> <span class="n">client</span><span class="o">.</span><span class="na">createEvent</span><span class="o">(</span><span class="n">rateEvent</span><span class="o">);</span> -</pre></td> </tr></tbody></table> </div> </div> </div> <h3 id='example-<strong>buy</strong>-event' class='header-anchors' >Example <strong>buy</strong> event</h3><p>A user (ID "u1") buys an item (ID "i2") at <code>2014-11-10T12:34:56.123-08:00</code> (current time will be used if eventTime is not specified)</p><p>Run the following <code>curl</code> command to send the <code>buy</code> event:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-78c45178-e8c7-4962-ae83-a7a520930e1e">REST API</a></li> <li data-lang="python"><a href="#tab-db5490a0-18dd-4fca-a129-32cc991ffa2a">Python SDK</a></li> <li data-lang="php"><a href="#tab-026fbc6c-1e9a-459f-afb8-8729a28addc4">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-9814b4ba-191a-4859-8d3f-468a7d4ec2c5">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-31a9740a-483d-4100-b1db-a9c836285b36">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-78c45178-e8c7-4962-ae83-a7 a520930e1e"> <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> </tr></tbody></table> </div> </div> </div> <h3 id='example-<strong>buy</strong>-event' class='header-anchors' >Example <strong>buy</strong> event</h3><p>A user (ID "u1") buys an item (ID "i2") at <code>2014-11-10T12:34:56.123-08:00</code> (current time will be used if eventTime is not specified)</p><p>Run the following <code>curl</code> command to send the <code>buy</code> event:</p><div class="tabs"> <ul class="control"> <li data-lang="json"><a href="#tab-5ca15bb0-5fee-40df-8ca1-2840e262a028">REST API</a></li> <li data-lang="python"><a href="#tab-d891d669-e389-4832-ae82-a16198d83039">Python SDK</a></li> <li data-lang="php"><a href="#tab-dab74538-cb39-45d4-bda6-2d1c6b093e23">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-12c1229f-aa10-49f0-9a0d-ed2c5f27851f">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-ebc81a5b-b456-4177-9519-f24c7f300930">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-5ca15bb0-5fee-40df-8ca1-28 40e262a028"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 2 3 4 @@ -198,7 +198,7 @@ Your system is all ready to go. "targetEntityId" : "i2", "eventTime" : "2014-11-10T12:34:56.123-08:00" }'</span> -</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-db5490a0-18dd-4fca-a129-32cc991ffa2a"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 +</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-d891d669-e389-4832-ae82-a16198d83039"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 2 3 4 @@ -213,7 +213,7 @@ Your system is all ready to go. <span class="n">target_entity_type</span><span class="o">=</span><span class="s">"item"</span><span class="p">,</span> <span class="n">target_entity_id</span><span class="o">=<</span><span class="n">ITEM</span> <span class="n">ID</span><span class="o">></span> <span class="p">)</span> -</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-026fbc6c-1e9a-459f-afb8-8729a28addc4"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 +</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-dab74538-cb39-45d4-bda6-2d1c6b093e23"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 2 3 4 @@ -232,7 +232,7 @@ Your system is all ready to go. <span class="s1">'targetEntityId'</span> <span class="o">=></span> <span class="o"><</span><span class="nx">ITEM</span> <span class="nx">ID</span><span class="o">></span> <span class="p">));</span> <span class="cp">?></span> -</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-9814b4ba-191a-4859-8d3f-468a7d4ec2c5"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 +</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-12c1229f-aa10-49f0-9a0d-ed2c5f27851f"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 2 3 4 @@ -249,7 +249,7 @@ Your system is all ready to go. <span class="s1">'targetEntityId'</span> <span class="o">=></span> <span class="o"><</span><span class="no">ITEM</span> <span class="no">ID</span><span class="o">></span> <span class="p">}</span> <span class="p">)</span> -</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-31a9740a-483d-4100-b1db-a9c836285b36"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 +</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-ebc81a5b-b456-4177-9519-f24c7f300930"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 2 3 4 @@ -297,17 +297,17 @@ Your system is all ready to go. </pre></td></tr></tbody></table> </div> <p>When the engine is deployed successfully and running, you should see a console message similar to the following:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1 2</pre></td><td class="code"><pre><span class="o">[</span>INFO] <span class="o">[</span>HttpListener] Bound to /0.0.0.0:8000 <span class="o">[</span>INFO] <span class="o">[</span>MasterActor] Bind successful. Ready to serve. -</pre></td></tr></tbody></table> </div> <p>Do not kill the deployed engine process.</p><p>By default, the deployed engine binds to <a href="http://localhost:8000"><a href="http://localhost:8000">http://localhost:8000</a></a>. You can visit that page in your web browser to check its status.</p><p><img alt="Engine Status" src="/images/engine-server-3246414b.png"/></p></p><h2 id='6.-use-the-engine' class='header-anchors'>6. Use the Engine</h2><p>Now, You can try to retrieve predicted results. To recommend 4 movies to user whose id is 1, you send this JSON <code>{ "user": "1", "num": 4 }</code> to the deployed engine and it will return a JSON of the recommended movies. Simply send a query by making a HTTP request or through the <code>EngineClient</code> of an SDK.</p><p>With the deployed engine running, open another terminal and run the following <code>curl</code> command or use SDK to send the query:</p><div class="tabs"> <ul class="control"> <li data-lang ="json"><a href="#tab-e6eea1a1-9e67-4225-aa5a-5b2cc738688b">REST API</a></li> <li data-lang="python"><a href="#tab-91c83059-83a6-45d3-94f1-c2b1076e473e">Python SDK</a></li> <li data-lang="php"><a href="#tab-d3f3b4e9-8044-4362-9785-0b9b783adf25">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-4e5dcdfe-b783-44b4-8027-24ce767abbf1">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-6a0d2be7-0659-45bd-9789-0123cd41a659">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-e6eea1a1-9e67-4225-aa5a-5b2cc738688b"> <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></tr></tbody></table> </div> <p>Do not kill the deployed engine process.</p><p>By default, the deployed engine binds to <a href="http://localhost:8000"><a href="http://localhost:8000">http://localhost:8000</a></a>. You can visit that page in your web browser to check its status.</p><p><img alt="Engine Status" src="/images/engine-server-3246414b.png"/></p></p><h2 id='6.-use-the-engine' class='header-anchors'>6. Use the Engine</h2><p>Now, You can try to retrieve predicted results. To recommend 4 movies to user whose id is 1, you send this JSON <code>{ "user": "1", "num": 4 }</code> to the deployed engine and it will return a JSON of the recommended movies. Simply send a query by making a HTTP request or through the <code>EngineClient</code> of an SDK.</p><p>With the deployed engine running, open another terminal and run the following <code>curl</code> command or use SDK to send the query:</p><div class="tabs"> <ul class="control"> <li data-lang ="json"><a href="#tab-92a2120b-7d92-4024-9fd5-f2a68eb21f61">REST API</a></li> <li data-lang="python"><a href="#tab-b6637d25-99ce-419b-b993-bc3b96bee887">Python SDK</a></li> <li data-lang="php"><a href="#tab-efb80db6-01fc-4aad-9957-fb7562aa0fd4">PHP SDK</a></li> <li data-lang="ruby"><a href="#tab-53863892-ebcf-45bf-aea9-13fd59be26a1">Ruby SDK</a></li> <li data-lang="java"><a href="#tab-f2624419-f7a6-4742-8c69-7cffc6716663">Java SDK</a></li> </ul> <div data-tab="REST API" data-lang="json" id="tab-92a2120b-7d92-4024-9fd5-f2a68eb21f61"> <div class="highlight shell"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 2 3</pre></td> <td class="code"><pre><span class="gp">$ </span>curl -H <span class="s2">"Content-Type: application/json"</span> <span class="se">\</span> -d <span class="s1">'{ "user": "1", "num": 4 }'</span> http://localhost:8000/queries.json -</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-91c83059-83a6-45d3-94f1-c2b1076e473e"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 +</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Python SDK" data-lang="python" id="tab-b6637d25-99ce-419b-b993-bc3b96bee887"> <div class="highlight python"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 2 3</pre></td> <td class="code"><pre><span class="kn">import</span> <span class="nn">predictionio</span> <span class="n">engine_client</span> <span class="o">=</span> <span class="n">predictionio</span><span class="o">.</span><span class="n">EngineClient</span><span class="p">(</span><span class="n">url</span><span class="o">=</span><span class="s">"http://localhost:8000"</span><span class="p">)</span> <span class="k">print</span> <span class="n">engine_client</span><span class="o">.</span><span class="n">send_query</span><span class="p">({</span><span class="s">"user"</span><span class="p">:</span> <span class="s">"1"</span><span class="p">,</span> <span class="s">"num"</span><span class="p">:</span> <span class="mi">4</span><span class="p">})</span> -</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-d3f3b4e9-8044-4362-9785-0b9b783adf25"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 +</pre></td> </tr></tbody></table> </div> </div> <div data-tab="PHP SDK" data-lang="php" id="tab-efb80db6-01fc-4aad-9957-fb7562aa0fd4"> <div class="highlight php"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 2 3 4 @@ -326,7 +326,7 @@ Your system is all ready to go. <span class="nb">print_r</span><span class="p">(</span><span class="nv">$response</span><span class="p">);</span> <span class="cp">?></span> -</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-4e5dcdfe-b783-44b4-8027-24ce767abbf1"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 +</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Ruby SDK" data-lang="ruby" id="tab-53863892-ebcf-45bf-aea9-13fd59be26a1"> <div class="highlight ruby"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 2 3 4 @@ -339,7 +339,7 @@ Your system is all ready to go. <span class="n">response</span> <span class="o">=</span> <span class="n">client</span><span class="p">.</span><span class="nf">send_query</span><span class="p">(</span><span class="s1">'user'</span> <span class="o">=></span> <span class="o"><</span><span class="no">USER</span> <span class="no">ID</span><span class="o">></span><span class="p">,</span> <span class="s1">'num'</span> <span class="o">=></span> <span class="o"><</span><span class="no">NUMBER</span> <span class="p">(</span><span class="n">integer</span><span class="p">)</span><span class="o">></span><span class="p">)</span> <span class="nb">puts</span> <span class="n">response</span> -</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-6a0d2be7-0659-45bd-9789-0123cd41a659"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 +</pre></td> </tr></tbody></table> </div> </div> <div data-tab="Java SDK" data-lang="java" id="tab-f2624419-f7a6-4742-8c69-7cffc6716663"> <div class="highlight java"> <table style="border-spacing: 0"><tbody><tr> <td class="gutter gl" style="text-align: right"><pre class="lineno">1 2 3 4
http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/templates/similarproduct/dase/index.html ---------------------------------------------------------------------- diff --git a/templates/similarproduct/dase/index.html b/templates/similarproduct/dase/index.html index 2378bae..048c925 100644 --- a/templates/similarproduct/dase/index.html +++ b/templates/similarproduct/dase/index.html @@ -503,7 +503,7 @@ <span class="n">numIterations</span><span class="k">:</span> <span class="kt">Int</span><span class="o">,</span> <span class="n">lambda</span><span class="k">:</span> <span class="kt">Double</span><span class="o">,</span> <span class="n">seed</span><span class="k">:</span> <span class="kt">Option</span><span class="o">[</span><span class="kt">Long</span><span class="o">])</span> <span class="k">extends</span> <span class="nc">Params</span> -</pre></td></tr></tbody></table> </div> <p>The <code>seed</code> parameter is an optional parameter, which is used by MLlib ALS algorithm internally to generate random values. If the <code>seed</code> is not specified, current system time would be used and hence each train may produce different reuslts. Specify a fixed value for the <code>seed</code> if you want to have deterministic result (For example, when you are testing).</p><p><code>ALS.trainImplicit()</code> then returns a <code>MatrixFactorizationModel</code> model which contains two RDDs: userFeatures and productFeatures. They correspond to the user X latent features matrix and item X latent features matrix, respectively. In this case, we will make use of the productFeatures matrix to find similar products by comparing the similarity of the latent features. Hence, we store this productFeatures as defined in <code>ALSModel</code> class:</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gu tter gl" style="text-align: right"><pre class="lineno">1 +</pre></td></tr></tbody></table> </div> <p>The <code>seed</code> parameter is an optional parameter, which is used by MLlib ALS algorithm internally to generate random values. If the <code>seed</code> is not specified, current system time would be used and hence each train may produce different results. Specify a fixed value for the <code>seed</code> if you want to have deterministic result (For example, when you are testing).</p><p><code>ALS.trainImplicit()</code> then returns a <code>MatrixFactorizationModel</code> model which contains two RDDs: userFeatures and productFeatures. They correspond to the user X latent features matrix and item X latent features matrix, respectively. In this case, we will make use of the productFeatures matrix to find similar products by comparing the similarity of the latent features. Hence, we store this productFeatures as defined in <code>ALSModel</code> class:</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gu tter gl" style="text-align: right"><pre class="lineno">1 2 3 4 http://git-wip-us.apache.org/repos/asf/predictionio-site/blob/9fe018b6/templates/similarproduct/multi-events-multi-algos/index.html ---------------------------------------------------------------------- diff --git a/templates/similarproduct/multi-events-multi-algos/index.html b/templates/similarproduct/multi-events-multi-algos/index.html index fc57000..9b25966 100644 --- a/templates/similarproduct/multi-events-multi-algos/index.html +++ b/templates/similarproduct/multi-events-multi-algos/index.html @@ -1,4 +1,4 @@ -<!DOCTYPE html><html><head><title>Multiple Events and Multiple Algorithms</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta 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>class="spacer">></span></li><li><s pan class="last">Multiple Events and Multiple Algorithms</span></li></ul></div><div id="page-title"><h1>Multiple Events and Multiple Algorithms</h1></div></div><div id="table-of-content-wrapper"><a id="edit-page-link" href="https://github.com/apache/predictionio/tree/livedoc/docs/manual/source/templates/similarproduct/multi-events-multi-algos.html.md.erb"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">PredictionIO® Official Templates</a><span class="spacer">></span></li><li><a href="#">Similar Product</a><span class="spacer">></span></li><li><span class="last">Multiple Events and Multiple Algorithms</span></li></ul></div><div id="page-title"><h1>Multiple Events and Multiple Algorithms</h1></div></div><div class="content"> <p>This is more advanced example, we recommend you go through the <a href="/templates/similarproduct/dase/">DASE </a> explanation first.</p><p>The <a href="/templates/similarproduct/dase/#algorithm">default algorithm described in DASE</a> uses user-to-item view events as training data. However, your application may have more than one type of events which you want to take into account, such as buy, rate and like events. One way to incorporate other types of events to improve the system is to add another algorithm to process these events, build a separated model and then combine the outputs of multiple algorithms during Serving.</p><p>In this example, we will add another algorithm to process like/dislike events. The final PredictedResults will be the combined outputs of both algorithms.</p><div class="alert-message note"><p>This is just one of the ways to handle multiple types of events. We use this use case to demonstrate how one can build an engine with multiple algorithms. You may also build one single algorithm which takes different events into account without using multiple algorithms.</p>< /div><p>This example will demonstrate the following:</p> <ul> <li>Read multiple types of events</li> <li>Use positive and negative implicit events such as like and dislike with MLlib ALS algorithm</li> <li>Integrate multiple algorithms into one engine</li> </ul> <p>The complete source code of this examlpe can be found in <a href="https://github.com/apache/predictionio/tree/develop/examples/scala-parallel-similarproduct/multi-events-multi-algos">here</a>.</p><h3 id='step-1.-read-"like"-and-"dislike"-events-as-trainingdata' class='header-anchors'>Step 1. Read "like" and "dislike" events as TrainingData</h3><p>Modify the following in DataSource.scala:</p> <ul> <li>In addition to the original <code>ViewEvent</code> class, add a new class <code>LikeEvent</code> which has a boolean <code>like</code> field to represent it's like or dislike event.</li> <li>Add a new field <code>likeEvents</code> into <code>TrainingData</code> class to store the <c ode>RDD[LikeEvent]</code>.</li> <li>Modidy DataSource's <code>readTraining()</code> function to read "like" and "dislike" events from the Event Store.</li> </ul> <p>The modification is shown below:</p><div class="highlight scala"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1 +<!DOCTYPE html><html><head><title>Multiple Events and Multiple Algorithms</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta class="swiftype" 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and Multiple Algorithms</h1></div></div><div id="table-of-content-wrapper"><a id="edit-page-link" href="https://github.com/apache/predictionio/tree/livedoc/docs/manual/source/templates/similarproduct/multi-events-multi-algos.html.md.erb"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">PredictionIO® Official Templates</a><span class="spacer">></span></li><li><a href="#">Similar Product</a><span class="spacer">></span></li><li><span class="last">Multiple Events and Multiple Algorithms</span></li></ul></div><div id="page-title"><h1>Multiple Events and Multiple Algorithms</h1></div></div><div class="content"> <p>This is more advanced example, we recommend you go through the <a href="/templates/similarproduct/dase/">DASE </a> explanation first.</p><p>The <a href="/templates/similarproduct/dase/#algorithm">default algorithm described in DASE</a> uses user-to-item view events as training data. However, your application may have more than one type of events which you want to take into account, such as buy, rate and like events. One way to incorporate other types of events to improve the system is to add another algorithm to process these events, build a separated model and then combine the outputs of multiple algorithms during Serving.</p><p>In this example, we will add another algorithm to process like/dislike events. The final PredictedResults will be the combined outputs of both algorithms.</p><div class="alert-message note"><p>This is just one of the ways to handle multiple types of events. We use this use case to demonstrate how one can build an engine with multiple algorithms. You may also build one single algorithm which takes different events into account without using multiple algorithms.</p>< /div><p>This example will demonstrate the following:</p> <ul> <li>Read multiple types of events</li> <li>Use positive and negative implicit events such as like and dislike with MLlib ALS algorithm</li> <li>Integrate multiple algorithms into one engine</li> </ul> <p>The complete source code of this example can be found in <a href="https://github.com/apache/predictionio/tree/develop/examples/scala-parallel-similarproduct/multi-events-multi-algos">here</a>.</p><h3 id='step-1.-read-"like"-and-"dislike"-events-as-trainingdata' class='header-anchors'>Step 1. Read "like" and "dislike" events as TrainingData</h3><p>Modify the following in DataSource.scala:</p> <ul> <li>In addition to the original <code>ViewEvent</code> class, add a new class <code>LikeEvent</code> which has a boolean <code>like</code> field to represent it's like or dislike event.</li> <li>Add a new field <code>likeEvents</code> into <code>TrainingData</code> class to store the <c ode>RDD[LikeEvent]</code>.</li> <li>Modify DataSource's <code>readTraining()</code> function to read "like" and "dislike" events from the Event Store.</li> </ul> <p>The modification is shown below:</p><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 @@ -564,7 +564,7 @@ </span><span class="p">]</span><span class="w"> </span><span class="p">}</span><span class="w"> -</span></pre></td></tr></tbody></table> </div> <div class="alert-message info"><p>You may notice that the parameters of the new <code>"likealgo"</code> contains the same fields as <code>"als"</code>. It is just becasuse the <code>LikeAlgorithm</code> class extends the original <code>ALSAlgorithm</code> class and shares the same algorithm parameter class definition. If the other algorithm you add has its own parameter class, you just need to specify them inside its <code>params</code> field accordingly.</p></div><p>That's it! Now you have a engine configured with two algorithms.</p><h3 id='sample-data-with-"like"-and-"dislike"-events' class='header-anchors'>Sample data with "like" and "dislike" events</h3><p>For demonstration purpose, a sample import script is also provided for you to quickly test this engine. The script is modified from the original one used in <a href="/templates/similarproduct/quickstart/#import-more- sample-data">Quick Start</a> with the addition of importing like and dislike events.</p><p>You could find the import script in <code>data/import_eventserver.py</code>.</p><p>Make sure you are under the App directory. Execute the following to import the data (Replace the value of access_key parameter with your <strong>Access Key</strong>):</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>python data/import_eventserver.py --access_key 3mZWDzci2D5YsqAnqNnXH9SB6Rg3dsTBs8iHkK6X2i54IQsIZI1eEeQQyMfs7b3F +</span></pre></td></tr></tbody></table> </div> <div class="alert-message info"><p>You may notice that the parameters of the new <code>"likealgo"</code> contains the same fields as <code>"als"</code>. It is just because the <code>LikeAlgorithm</code> class extends the original <code>ALSAlgorithm</code> class and shares the same algorithm parameter class definition. If the other algorithm you add has its own parameter class, you just need to specify them inside its <code>params</code> field accordingly.</p></div><p>That's it! Now you have a engine configured with two algorithms.</p><h3 id='sample-data-with-"like"-and-"dislike"-events' class='header-anchors'>Sample data with "like" and "dislike" events</h3><p>For demonstration purpose, a sample import script is also provided for you to quickly test this engine. The script is modified from the original one used in <a href="/templates/similarproduct/quickstart/#import-more-s ample-data">Quick Start</a> with the addition of importing like and dislike events.</p><p>You could find the import script in <code>data/import_eventserver.py</code>.</p><p>Make sure you are under the App directory. Execute the following to import the data (Replace the value of access_key parameter with your <strong>Access Key</strong>):</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>python data/import_eventserver.py --access_key 3mZWDzci2D5YsqAnqNnXH9SB6Rg3dsTBs8iHkK6X2i54IQsIZI1eEeQQyMfs7b3F </pre></td></tr></tbody></table> </div> <div class="alert-message warning"><p>If you see error <strong>TypeError: <strong>init</strong>() got an unexpected keyword argument 'access_key'</strong>, please update the Python SDK to the latest version.</p></div><p>You are ready to run pio build, train and deploy as described in the <a href="/templates/similarproduct/quickstart/#5.-deploy-the-engine-as-a-service">Quick Start</a>.</p></div></div></div></div><footer><div class="container"><div class="seperator"></div><div class="row"><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Community</h4><ul><li><a href="//predictionio.apache.org/install/" target="blank">Download</a></li><li><a href="//predictionio.apache.org/" target="blank">Docs</a></li><li><a href="//github.com/apache/predictionio" target="blank">GitHub</a></li><li><a href="mailto:user-subscr...@predictionio.apache.org" target="blank">Subscribe to User Mailing List</a></li><li><a href="//st ackoverflow.com/questions/tagged/predictionio" target="blank">Stackoverflow</a></li></ul></div></div><div class="col-md-6 footer-link-column"><div class="footer-link-column-row"><h4>Contribute</h4><ul><li><a href="//predictionio.apache.org/community/contribute-code/" target="blank">Contribute</a></li><li><a href="//github.com/apache/predictionio" target="blank">Source Code</a></li><li><a href="//issues.apache.org/jira/browse/PIO" target="blank">Bug Tracker</a></li><li><a href="mailto:dev-subscr...@predictionio.apache.org" target="blank">Subscribe to Development Mailing List</a></li></ul></div></div></div><div class="row"><div class="col-md-12 footer-link-column"><p>Apache PredictionIO, PredictionIO, Apache, the Apache feather logo, and the Apache PredictionIO project logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries.</p><p>All other marks mentioned may be trademarks or registered trademarks of their respect ive owners.</p></div></div></div><div id="footer-bottom"><div class="container"><div class="row"><div class="col-md-12"><div id="footer-logo-wrapper"><img alt="PredictionIO" src="/images/logos/logo-white-d1e9c6e6.png"/><span>®</span></div><div id="social-icons-wrapper"><a class="github-button" href="https://github.com/apache/predictionio" data-icon="octicon-star" data-show-count="true" aria-label="Star apache/predictionio on GitHub">Star</a> <a class="github-button" href="https://github.com/apache/predictionio/fork" data-icon="octicon-repo-forked" data-show-count="true" aria-label="Fork apache/predictionio on GitHub">Fork</a> <script id="github-bjs" async="" defer="" src="https://buttons.github.io/buttons.js"></script><a href="https://twitter.com/predictionio" target="blank"><img alt="PredictionIO on Twitter" src="/images/icons/twitter-ea9dc152.png"/></a> <a href="https://www.facebook.com/predictionio" target="blank"><img alt="PredictionIO on Facebook" src="/images/icons/facebook-5 c57939c.png"/></a> </div></div></div></div></div></footer></div><script>(function(w,d,t,u,n,s,e){w['SwiftypeObject']=n;w[n]=w[n]||function(){ (w[n].q=w[n].q||[]).push(arguments);};s=d.createElement(t); e=d.getElementsByTagName(t)[0];s.async=1;s.src=u;e.parentNode.insertBefore(s,e);