deploy: fa422bd

reference/steps-encoding.html

@@ -352,7 +352,7 @@ <h2 class="anchored" data-anchor-id="parameters">Parameters</h2>
 <section id="examples" class="level2">
 <h2 class="anchored" data-anchor-id="examples">Examples</h2>
 <div class="sourceCode" id="cb1"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="op">&gt;&gt;&gt;</span> <span class="im">import</span> ibisml <span class="im">as</span> ml</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
-<p>One-hot encode all string columns</p>
+<p>One-hot encode all string columns.</p>
 <div class="sourceCode" id="cb2"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="op">&gt;&gt;&gt;</span> step <span class="op">=</span> ml.OneHotEncode(ml.string())</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <p>One-hot encode a specific column, only including categories with at least 20 samples.</p>
 <div class="sourceCode" id="cb3"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="op">&gt;&gt;&gt;</span> step <span class="op">=</span> ml.OneHotEncode(<span class="st">"x"</span>, min_frequency<span class="op">=</span><span class="dv">20</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
@@ -406,7 +406,7 @@ <h2 class="anchored" data-anchor-id="parameters-1">Parameters</h2>
 <section id="examples-1" class="level2">
 <h2 class="anchored" data-anchor-id="examples-1">Examples</h2>
 <div class="sourceCode" id="cb5"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a><span class="op">&gt;&gt;&gt;</span> <span class="im">import</span> ibisml <span class="im">as</span> ml</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
-<p>Categorical encode all string columns</p>
+<p>Categorical encode all string columns.</p>
 <div class="sourceCode" id="cb6"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a><span class="op">&gt;&gt;&gt;</span> step <span class="op">=</span> ml.CategoricalEncode(ml.string())</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <p>Categorical encode a specific column, only including categories with at least 20 samples.</p>
 <div class="sourceCode" id="cb7"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a><span class="op">&gt;&gt;&gt;</span> step <span class="op">=</span> ml.CategoricalEncode(<span class="st">"x"</span>, min_frequency<span class="op">=</span><span class="dv">20</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>

search.json

@@ -292,7 +292,7 @@
     "href": "reference/steps-encoding.html#examples",
     "title": "Encoding",
     "section": "Examples",
-    "text": "Examples\n>>> import ibisml as ml\nOne-hot encode all string columns\n>>> step = ml.OneHotEncode(ml.string())\nOne-hot encode a specific column, only including categories with at least 20 samples.\n>>> step = ml.OneHotEncode(\"x\", min_frequency=20)\nOne-hot encode a specific column, including at most 10 categories.\n>>> step = ml.OneHotEncode(\"x\", max_categories=10)",
+    "text": "Examples\n>>> import ibisml as ml\nOne-hot encode all string columns.\n>>> step = ml.OneHotEncode(ml.string())\nOne-hot encode a specific column, only including categories with at least 20 samples.\n>>> step = ml.OneHotEncode(\"x\", min_frequency=20)\nOne-hot encode a specific column, including at most 10 categories.\n>>> step = ml.OneHotEncode(\"x\", max_categories=10)",
     "crumbs": [
       "Steps",
       "Encoding"
@@ -314,7 +314,7 @@
     "href": "reference/steps-encoding.html#examples-1",
     "title": "Encoding",
     "section": "Examples",
-    "text": "Examples\n>>> import ibisml as ml\nCategorical encode all string columns\n>>> step = ml.CategoricalEncode(ml.string())\nCategorical encode a specific column, only including categories with at least 20 samples.\n>>> step = ml.CategoricalEncode(\"x\", min_frequency=20)\nCategorical encode a specific column, including at most 10 categories.\n>>> step = ml.CategoricalEncode(\"x\", max_categories=10)",
+    "text": "Examples\n>>> import ibisml as ml\nCategorical encode all string columns.\n>>> step = ml.CategoricalEncode(ml.string())\nCategorical encode a specific column, only including categories with at least 20 samples.\n>>> step = ml.CategoricalEncode(\"x\", min_frequency=20)\nCategorical encode a specific column, including at most 10 categories.\n>>> step = ml.CategoricalEncode(\"x\", max_categories=10)",
     "crumbs": [
       "Steps",
       "Encoding"