Update draft api docs to commit c2b997f on

api/python-draft/api/spark_rapids_ml.classification.RandomForestClassifier.html

@@ -376,7 +376,7 @@ <h1>RandomForestClassifier<a class="headerlink" href="#randomforestclassifier" t
 well, but it generally requires the data to be well-shuffled in advance.</p>
 <p>RandomForestClassifier automatically supports most of the parameters from both
 <a class="reference external" href="https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.ml.classification.RandomForestClassifier.html#pyspark.ml.classification.RandomForestClassifier" title="(in PySpark vmaster)"><code class="xref py py-class docutils literal notranslate"><span class="pre">RandomForestClassifier</span></code></a>
-and <a class="reference external" href="https://docs.rapids.ai/api/cuml/stable/api/#cuml.ensemble.RandomForestClassifier" title="(in cuml v23.10)"><code class="xref py py-class docutils literal notranslate"><span class="pre">cuml.ensemble.RandomForestClassifier</span></code></a>. And it can automatically
+and <a class="reference external" href="https://docs.rapids.ai/api/cuml/stable/api/#cuml.ensemble.RandomForestClassifier" title="(in cuml v23.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">cuml.ensemble.RandomForestClassifier</span></code></a>. And it can automatically
 map pyspark parameters to cuML parameters.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>

api/python-draft/api/spark_rapids_ml.regression.LinearRegression.html

@@ -377,8 +377,8 @@ <h1>LinearRegression<a class="headerlink" href="#linearregression" title="Permal
 </ul>
 <p>LinearRegression automatically supports most of the parameters from both
 <a class="reference external" href="https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.ml.regression.LinearRegression.html#pyspark.ml.regression.LinearRegression" title="(in PySpark vmaster)"><code class="xref py py-class docutils literal notranslate"><span class="pre">LinearRegression</span></code></a>,
-<a class="reference external" href="https://docs.rapids.ai/api/cuml/stable/api/#cuml.LinearRegression" title="(in cuml v23.10)"><code class="xref py py-class docutils literal notranslate"><span class="pre">cuml.LinearRegression</span></code></a>, <a class="reference external" href="https://docs.rapids.ai/api/cuml/stable/api/#cuml.Ridge" title="(in cuml v23.10)"><code class="xref py py-class docutils literal notranslate"><span class="pre">cuml.Ridge</span></code></a>, <a class="reference external" href="https://docs.rapids.ai/api/cuml/stable/api/#cuml.Lasso" title="(in cuml v23.10)"><code class="xref py py-class docutils literal notranslate"><span class="pre">cuml.Lasso</span></code></a>
-and <a class="reference external" href="https://docs.rapids.ai/api/cuml/stable/api/#cuml.ElasticNet" title="(in cuml v23.10)"><code class="xref py py-class docutils literal notranslate"><span class="pre">cuml.ElasticNet</span></code></a>. And it will automatically map pyspark parameters
+<a class="reference external" href="https://docs.rapids.ai/api/cuml/stable/api/#cuml.LinearRegression" title="(in cuml v23.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">cuml.LinearRegression</span></code></a>, <a class="reference external" href="https://docs.rapids.ai/api/cuml/stable/api/#cuml.Ridge" title="(in cuml v23.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">cuml.Ridge</span></code></a>, <a class="reference external" href="https://docs.rapids.ai/api/cuml/stable/api/#cuml.Lasso" title="(in cuml v23.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">cuml.Lasso</span></code></a>
+and <a class="reference external" href="https://docs.rapids.ai/api/cuml/stable/api/#cuml.ElasticNet" title="(in cuml v23.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">cuml.ElasticNet</span></code></a>. And it will automatically map pyspark parameters
 to cuML parameters.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>

api/python-draft/api/spark_rapids_ml.regression.RandomForestRegressor.html

@@ -375,7 +375,7 @@ <h1>RandomForestRegressor<a class="headerlink" href="#randomforestregressor" tit
 well, but it generally requires the data to be well-shuffled in advance.</p>
 <p>RandomForestRegressor automatically supports most of the parameters from both
 <a class="reference external" href="https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.ml.regression.RandomForestRegressor.html#pyspark.ml.regression.RandomForestRegressor" title="(in PySpark vmaster)"><code class="xref py py-class docutils literal notranslate"><span class="pre">RandomForestRegressor</span></code></a> and
-<a class="reference external" href="https://docs.rapids.ai/api/cuml/stable/api/#cuml.ensemble.RandomForestRegressor" title="(in cuml v23.10)"><code class="xref py py-class docutils literal notranslate"><span class="pre">cuml.ensemble.RandomForestRegressor</span></code></a>. And it can automatically map
+<a class="reference external" href="https://docs.rapids.ai/api/cuml/stable/api/#cuml.ensemble.RandomForestRegressor" title="(in cuml v23.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">cuml.ensemble.RandomForestRegressor</span></code></a>. And it can automatically map
 pyspark parameters to cuML parameters.</p>
 <dl class="field-list">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>