Updates Tableau calculated field code

Author: atulmkamble

TabPy Model Deployment.html

@@ -13083,7 +13083,7 @@ <h1 id="1.-Create-a-Model-in-Python">1. Create a Model in Python<a class="anchor
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 <div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Sample Data</span>
@@ -13098,7 +13098,7 @@ <h1 id="1.-Create-a-Model-in-Python">1. Create a Model in Python<a class="anchor
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 <div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Test the clustering model on sample data</span>
@@ -13121,7 +13121,7 @@ <h1 id="1.-Create-a-Model-in-Python">1. Create a Model in Python<a class="anchor
 
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-    <div class="prompt output_prompt">Out[99]:</div>
+    <div class="prompt output_prompt">Out[2]:</div>
 
 
 
@@ -13145,7 +13145,7 @@ <h1 id="2.-Deploy-the-Model-on-TabPy-Server">2. Deploy the Model on TabPy Server
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 <div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Import tabpy client for deployment</span>
@@ -13159,7 +13159,7 @@ <h1 id="2.-Deploy-the-Model-on-TabPy-Server">2. Deploy the Model on TabPy Server
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 <div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Server URL (This would be the host and port on which you are running the TabPy server)</span>
@@ -13173,7 +13173,7 @@ <h1 id="2.-Deploy-the-Model-on-TabPy-Server">2. Deploy the Model on TabPy Server
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 <div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Define the function tested above</span>
@@ -13183,7 +13183,7 @@ <h1 id="2.-Deploy-the-Model-on-TabPy-Server">2. Deploy the Model on TabPy Server
     <span class="kn">from</span> <span class="nn">sklearn.preprocessing</span> <span class="kn">import</span> <span class="n">StandardScaler</span>
     <span class="n">X</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">column_stack</span><span class="p">([</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">])</span>
     <span class="n">X</span> <span class="o">=</span> <span class="n">StandardScaler</span><span class="p">()</span><span class="o">.</span><span class="n">fit_transform</span><span class="p">(</span><span class="n">X</span><span class="p">)</span>
-    <span class="n">db</span> <span class="o">=</span> <span class="n">DBSCAN</span><span class="p">(</span><span class="n">eps</span><span class="o">=</span><span class="mf">0.3</span><span class="p">,</span> <span class="n">min_samples</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X</span><span class="p">)</span>
+    <span class="n">db</span> <span class="o">=</span> <span class="n">DBSCAN</span><span class="p">(</span><span class="n">eps</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span><span class="n">min_samples</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X</span><span class="p">)</span>
     <span class="k">return</span> <span class="n">db</span><span class="o">.</span><span class="n">labels_</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
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@@ -13194,7 +13194,7 @@ <h1 id="2.-Deploy-the-Model-on-TabPy-Server">2. Deploy the Model on TabPy Server
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 <div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Deploy the model to TabPy server</span>
@@ -13226,7 +13226,7 @@ <h1 id="3.-Query-the-Model">3. Query the Model<a class="anchor-link" href="#3.-Q
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 <div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Test the deployed model</span>
@@ -13243,20 +13243,38 @@ <h1 id="3.-Query-the-Model">3. Query the Model<a class="anchor-link" href="#3.-Q
 
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 <pre>{&#39;response&#39;: [0, 0, 0, 1, 1, 1, 1],
- &#39;version&#39;: 2,
+ &#39;version&#39;: 3,
  &#39;model&#39;: &#39;clustering&#39;,
- &#39;uuid&#39;: &#39;c2b1479f-c1ff-4d0f-b7a9-b29ca4da31a2&#39;}</pre>
+ &#39;uuid&#39;: &#39;b13f4a0b-92ec-4a24-829b-c1071fd1c764&#39;}</pre>
+</div>
+
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+</div>
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+</div>
+<div class="cell border-box-sizing code_cell rendered">
+<div class="input">
+<div class="prompt input_prompt">In&nbsp;[&nbsp;]:</div>
+<div class="inner_cell">
+    <div class="input_area">
+<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Tableau code for calculated field:</span>
+<span class="c1"># SCRIPT_INT(&quot;</span>
+<span class="c1"># return tabpy.query(&#39;clustering&#39;, _arg1, _arg2)[&#39;response&#39;]</span>
+<span class="c1"># &quot;,</span>
+<span class="c1"># SUM([Profit]), SUM([Sales])</span>
+<span class="c1"># )</span>
+</pre></div>
+
+    </div>
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