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SuperCowPowers · Mar 3, 2025 · fc6cd80 · fc6cd80
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diff --git a/core_classes/artifacts/endpoint_core/index.html b/core_classes/artifacts/endpoint_core/index.html
@@ -5448,15 +5448,15 @@ <h2 id="workbench.core.artifacts.endpoint_core.EndpointCore" class="doc doc-head
 </span><span id="__span-0-456"><a id="__codelineno-0-456" name="__codelineno-0-456"></a>            <span class="n">deserializer</span><span class="o">=</span><span class="n">CSVDeserializer</span><span class="p">(),</span>
 </span><span id="__span-0-457"><a id="__codelineno-0-457" name="__codelineno-0-457"></a>        <span class="p">)</span>
 </span><span id="__span-0-458"><a id="__codelineno-0-458" name="__codelineno-0-458"></a>
-</span><span id="__span-0-459"><a id="__codelineno-0-459" name="__codelineno-0-459"></a>        <span class="c1"># Now split up the dataframe into 500 row chunks, send those chunks to our</span>
+</span><span id="__span-0-459"><a id="__codelineno-0-459" name="__codelineno-0-459"></a>        <span class="c1"># Now split up the dataframe into 100 row chunks, send those chunks to our</span>
 </span><span id="__span-0-460"><a id="__codelineno-0-460" name="__codelineno-0-460"></a>        <span class="c1"># endpoint (with error handling) and stitch all the chunks back together</span>
 </span><span id="__span-0-461"><a id="__codelineno-0-461" name="__codelineno-0-461"></a>        <span class="n">df_list</span> <span class="o">=</span> <span class="p">[]</span>
 </span><span id="__span-0-462"><a id="__codelineno-0-462" name="__codelineno-0-462"></a>        <span class="n">total_rows</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">eval_df</span><span class="p">)</span>
-</span><span id="__span-0-463"><a id="__codelineno-0-463" name="__codelineno-0-463"></a>        <span class="k">for</span> <span class="n">index</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">eval_df</span><span class="p">),</span> <span class="mi">500</span><span class="p">):</span>
-</span><span id="__span-0-464"><a id="__codelineno-0-464" name="__codelineno-0-464"></a>            <span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Processing </span><span class="si">{</span><span class="n">index</span><span class="si">}</span><span class="s2">:</span><span class="si">{</span><span class="nb">min</span><span class="p">(</span><span class="n">index</span><span class="o">+</span><span class="mi">500</span><span class="p">,</span><span class="w"> </span><span class="n">total_rows</span><span class="p">)</span><span class="si">}</span><span class="s2"> out of </span><span class="si">{</span><span class="n">total_rows</span><span class="si">}</span><span class="s2"> rows...&quot;</span><span class="p">)</span>
+</span><span id="__span-0-463"><a id="__codelineno-0-463" name="__codelineno-0-463"></a>        <span class="k">for</span> <span class="n">index</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">eval_df</span><span class="p">),</span> <span class="mi">100</span><span class="p">):</span>
+</span><span id="__span-0-464"><a id="__codelineno-0-464" name="__codelineno-0-464"></a>            <span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Processing </span><span class="si">{</span><span class="n">index</span><span class="si">}</span><span class="s2">:</span><span class="si">{</span><span class="nb">min</span><span class="p">(</span><span class="n">index</span><span class="o">+</span><span class="mi">100</span><span class="p">,</span><span class="w"> </span><span class="n">total_rows</span><span class="p">)</span><span class="si">}</span><span class="s2"> out of </span><span class="si">{</span><span class="n">total_rows</span><span class="si">}</span><span class="s2"> rows...&quot;</span><span class="p">)</span>
 </span><span id="__span-0-465"><a id="__codelineno-0-465" name="__codelineno-0-465"></a>
 </span><span id="__span-0-466"><a id="__codelineno-0-466" name="__codelineno-0-466"></a>            <span class="c1"># Compute partial DataFrames, add them to a list, and concatenate at the end</span>
-</span><span id="__span-0-467"><a id="__codelineno-0-467" name="__codelineno-0-467"></a>            <span class="n">partial_df</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_endpoint_error_handling</span><span class="p">(</span><span class="n">predictor</span><span class="p">,</span> <span class="n">eval_df</span><span class="p">[</span><span class="n">index</span> <span class="p">:</span> <span class="n">index</span> <span class="o">+</span> <span class="mi">500</span><span class="p">])</span>
+</span><span id="__span-0-467"><a id="__codelineno-0-467" name="__codelineno-0-467"></a>            <span class="n">partial_df</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_endpoint_error_handling</span><span class="p">(</span><span class="n">predictor</span><span class="p">,</span> <span class="n">eval_df</span><span class="p">[</span><span class="n">index</span> <span class="p">:</span> <span class="n">index</span> <span class="o">+</span> <span class="mi">100</span><span class="p">])</span>
 </span><span id="__span-0-468"><a id="__codelineno-0-468" name="__codelineno-0-468"></a>            <span class="n">df_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">partial_df</span><span class="p">)</span>
 </span><span id="__span-0-469"><a id="__codelineno-0-469" name="__codelineno-0-469"></a>
 </span><span id="__span-0-470"><a id="__codelineno-0-470" name="__codelineno-0-470"></a>        <span class="c1"># Concatenate the dataframes</span>
@@ -6771,15 +6771,15 @@ <h3 id="workbench.core.artifacts.endpoint_core.EndpointCore._predict" class="doc
 </span><span id="__span-0-456"><a id="__codelineno-0-456" name="__codelineno-0-456"></a>        <span class="n">deserializer</span><span class="o">=</span><span class="n">CSVDeserializer</span><span class="p">(),</span>
 </span><span id="__span-0-457"><a id="__codelineno-0-457" name="__codelineno-0-457"></a>    <span class="p">)</span>
 </span><span id="__span-0-458"><a id="__codelineno-0-458" name="__codelineno-0-458"></a>
-</span><span id="__span-0-459"><a id="__codelineno-0-459" name="__codelineno-0-459"></a>    <span class="c1"># Now split up the dataframe into 500 row chunks, send those chunks to our</span>
+</span><span id="__span-0-459"><a id="__codelineno-0-459" name="__codelineno-0-459"></a>    <span class="c1"># Now split up the dataframe into 100 row chunks, send those chunks to our</span>
 </span><span id="__span-0-460"><a id="__codelineno-0-460" name="__codelineno-0-460"></a>    <span class="c1"># endpoint (with error handling) and stitch all the chunks back together</span>
 </span><span id="__span-0-461"><a id="__codelineno-0-461" name="__codelineno-0-461"></a>    <span class="n">df_list</span> <span class="o">=</span> <span class="p">[]</span>
 </span><span id="__span-0-462"><a id="__codelineno-0-462" name="__codelineno-0-462"></a>    <span class="n">total_rows</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">eval_df</span><span class="p">)</span>
-</span><span id="__span-0-463"><a id="__codelineno-0-463" name="__codelineno-0-463"></a>    <span class="k">for</span> <span class="n">index</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">eval_df</span><span class="p">),</span> <span class="mi">500</span><span class="p">):</span>
-</span><span id="__span-0-464"><a id="__codelineno-0-464" name="__codelineno-0-464"></a>        <span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Processing </span><span class="si">{</span><span class="n">index</span><span class="si">}</span><span class="s2">:</span><span class="si">{</span><span class="nb">min</span><span class="p">(</span><span class="n">index</span><span class="o">+</span><span class="mi">500</span><span class="p">,</span><span class="w"> </span><span class="n">total_rows</span><span class="p">)</span><span class="si">}</span><span class="s2"> out of </span><span class="si">{</span><span class="n">total_rows</span><span class="si">}</span><span class="s2"> rows...&quot;</span><span class="p">)</span>
+</span><span id="__span-0-463"><a id="__codelineno-0-463" name="__codelineno-0-463"></a>    <span class="k">for</span> <span class="n">index</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">eval_df</span><span class="p">),</span> <span class="mi">100</span><span class="p">):</span>
+</span><span id="__span-0-464"><a id="__codelineno-0-464" name="__codelineno-0-464"></a>        <span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Processing </span><span class="si">{</span><span class="n">index</span><span class="si">}</span><span class="s2">:</span><span class="si">{</span><span class="nb">min</span><span class="p">(</span><span class="n">index</span><span class="o">+</span><span class="mi">100</span><span class="p">,</span><span class="w"> </span><span class="n">total_rows</span><span class="p">)</span><span class="si">}</span><span class="s2"> out of </span><span class="si">{</span><span class="n">total_rows</span><span class="si">}</span><span class="s2"> rows...&quot;</span><span class="p">)</span>
 </span><span id="__span-0-465"><a id="__codelineno-0-465" name="__codelineno-0-465"></a>
 </span><span id="__span-0-466"><a id="__codelineno-0-466" name="__codelineno-0-466"></a>        <span class="c1"># Compute partial DataFrames, add them to a list, and concatenate at the end</span>
-</span><span id="__span-0-467"><a id="__codelineno-0-467" name="__codelineno-0-467"></a>        <span class="n">partial_df</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_endpoint_error_handling</span><span class="p">(</span><span class="n">predictor</span><span class="p">,</span> <span class="n">eval_df</span><span class="p">[</span><span class="n">index</span> <span class="p">:</span> <span class="n">index</span> <span class="o">+</span> <span class="mi">500</span><span class="p">])</span>
+</span><span id="__span-0-467"><a id="__codelineno-0-467" name="__codelineno-0-467"></a>        <span class="n">partial_df</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_endpoint_error_handling</span><span class="p">(</span><span class="n">predictor</span><span class="p">,</span> <span class="n">eval_df</span><span class="p">[</span><span class="n">index</span> <span class="p">:</span> <span class="n">index</span> <span class="o">+</span> <span class="mi">100</span><span class="p">])</span>
 </span><span id="__span-0-468"><a id="__codelineno-0-468" name="__codelineno-0-468"></a>        <span class="n">df_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">partial_df</span><span class="p">)</span>
 </span><span id="__span-0-469"><a id="__codelineno-0-469" name="__codelineno-0-469"></a>
 </span><span id="__span-0-470"><a id="__codelineno-0-470" name="__codelineno-0-470"></a>    <span class="c1"># Concatenate the dataframes</span>

diff --git a/search/search_index.json b/search/search_index.json