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Posted to commits@spark.apache.org by gu...@apache.org on 2018/07/03 18:10:30 UTC
[12/14] spark-website git commit: Fix signature description broken in PySpark API documentation in 2.1.2

http://git-wip-us.apache.org/repos/asf/spark-website/blob/6bbac496/site/docs/2.1.2/api/python/_modules/pyspark/ml/param/shared.html
----------------------------------------------------------------------
diff --git a/site/docs/2.1.2/api/python/_modules/pyspark/ml/param/shared.html b/site/docs/2.1.2/api/python/_modules/pyspark/ml/param/shared.html
index f2d428f..60e1169 100644
--- a/site/docs/2.1.2/api/python/_modules/pyspark/ml/param/shared.html
+++ b/site/docs/2.1.2/api/python/_modules/pyspark/ml/param/shared.html
@@ -77,7 +77,7 @@
     <span class="n">maxIter</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">&quot;maxIter&quot;</span><span class="p">,</span> <span class="s2">&quot;max number of iterations (&gt;= 0).&quot;</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toInt</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">HasMaxIter</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HasMaxIter</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
 
     <span class="k">def</span> <span class="nf">setMaxIter</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
         <span class="sd">&quot;&quot;&quot;</span>
@@ -100,7 +100,7 @@
     <span class="n">regParam</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">&quot;regParam&quot;</span><span class="p">,</span> <span class="s2">&quot;regularization parameter (&gt;= 0).&quot;</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toFloat</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">HasRegParam</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HasRegParam</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
 
     <span class="k">def</span> <span class="nf">setRegParam</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
         <span class="sd">&quot;&quot;&quot;</span>
@@ -123,7 +123,7 @@
     <span class="n">featuresCol</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">&quot;featuresCol&quot;</span><span class="p">,</span> <span class="s2">&quot;features column name.&quot;</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toString</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">HasFeaturesCol</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HasFeaturesCol</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_setDefault</span><span class="p">(</span><span class="n">featuresCol</span><span class="o">=</span><span class="s1">&#39;features&#39;</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">setFeaturesCol</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
@@ -147,7 +147,7 @@
     <span class="n">labelCol</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">&quot;labelCol&quot;</span><span class="p">,</span> <span class="s2">&quot;label column name.&quot;</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toString</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">HasLabelCol</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HasLabelCol</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_setDefault</span><span class="p">(</span><span class="n">labelCol</span><span class="o">=</span><span class="s1">&#39;label&#39;</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">setLabelCol</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
@@ -171,7 +171,7 @@
     <span class="n">predictionCol</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">&quot;predictionCol&quot;</span><span class="p">,</span> <span class="s2">&quot;prediction column name.&quot;</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toString</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">HasPredictionCol</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HasPredictionCol</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_setDefault</span><span class="p">(</span><span class="n">predictionCol</span><span class="o">=</span><span class="s1">&#39;prediction&#39;</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">setPredictionCol</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
@@ -195,7 +195,7 @@
     <span class="n">probabilityCol</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">&quot;probabilityCol&quot;</span><span class="p">,</span> <span class="s2">&quot;Column name for predicted class conditional probabilities. Note: Not all models output well-calibrated probability estimates! These probabilities should be treated as confidences, not precise probabilities.&quot;</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toString</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">HasProbabilityCol</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HasProbabilityCol</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_setDefault</span><span class="p">(</span><span class="n">probabilityCol</span><span class="o">=</span><span class="s1">&#39;probability&#39;</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">setProbabilityCol</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
@@ -219,7 +219,7 @@
     <span class="n">rawPredictionCol</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">&quot;rawPredictionCol&quot;</span><span class="p">,</span> <span class="s2">&quot;raw prediction (a.k.a. confidence) column name.&quot;</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toString</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">HasRawPredictionCol</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HasRawPredictionCol</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_setDefault</span><span class="p">(</span><span class="n">rawPredictionCol</span><span class="o">=</span><span class="s1">&#39;rawPrediction&#39;</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">setRawPredictionCol</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
@@ -243,7 +243,7 @@
     <span class="n">inputCol</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">&quot;inputCol&quot;</span><span class="p">,</span> <span class="s2">&quot;input column name.&quot;</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toString</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">HasInputCol</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HasInputCol</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
 
     <span class="k">def</span> <span class="nf">setInputCol</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
         <span class="sd">&quot;&quot;&quot;</span>
@@ -266,7 +266,7 @@
     <span class="n">inputCols</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">&quot;inputCols&quot;</span><span class="p">,</span> <span class="s2">&quot;input column names.&quot;</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toListString</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">HasInputCols</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HasInputCols</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
 
     <span class="k">def</span> <span class="nf">setInputCols</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
         <span class="sd">&quot;&quot;&quot;</span>
@@ -289,7 +289,7 @@
     <span class="n">outputCol</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">&quot;outputCol&quot;</span><span class="p">,</span> <span class="s2">&quot;output column name.&quot;</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toString</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">HasOutputCol</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HasOutputCol</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_setDefault</span><span class="p">(</span><span class="n">outputCol</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">uid</span> <span class="o">+</span> <span class="s1">&#39;__output&#39;</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">setOutputCol</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
@@ -313,7 +313,7 @@
     <span class="n">numFeatures</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">&quot;numFeatures&quot;</span><span class="p">,</span> <span class="s2">&quot;number of features.&quot;</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toInt</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">HasNumFeatures</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HasNumFeatures</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
 
     <span class="k">def</span> <span class="nf">setNumFeatures</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
         <span class="sd">&quot;&quot;&quot;</span>
@@ -336,7 +336,7 @@
     <span class="n">checkpointInterval</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">&quot;checkpointInterval&quot;</span><span class="p">,</span> <span class="s2">&quot;set checkpoint interval (&gt;= 1) or disable checkpoint (-1). E.g. 10 means that the cache will get checkpointed every 10 iterations.&quot;</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toInt</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">HasCheckpointInterval</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HasCheckpointInterval</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
 
     <span class="k">def</span> <span class="nf">setCheckpointInterval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
         <span class="sd">&quot;&quot;&quot;</span>
@@ -359,8 +359,8 @@
     <span class="n">seed</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">&quot;seed&quot;</span><span class="p">,</span> <span class="s2">&quot;random seed.&quot;</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toInt</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">HasSeed</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
-        <span class="bp">self</span><span class="o">.</span><span class="n">_setDefault</span><span class="p">(</span><span class="n">seed</span><span class="o">=</span><span class="nb">hash</span><span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__name__</span><span class="p">))</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HasSeed</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_setDefault</span><span class="p">(</span><span class="n">seed</span><span class="o">=</span><span class="nb">hash</span><span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="vm">__name__</span><span class="p">))</span>
 
     <span class="k">def</span> <span class="nf">setSeed</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
         <span class="sd">&quot;&quot;&quot;</span>
@@ -383,7 +383,7 @@
     <span class="n">tol</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">&quot;tol&quot;</span><span class="p">,</span> <span class="s2">&quot;the convergence tolerance for iterative algorithms (&gt;= 0).&quot;</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toFloat</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">HasTol</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HasTol</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
 
     <span class="k">def</span> <span class="nf">setTol</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
         <span class="sd">&quot;&quot;&quot;</span>
@@ -406,7 +406,7 @@
     <span class="n">stepSize</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">&quot;stepSize&quot;</span><span class="p">,</span> <span class="s2">&quot;Step size to be used for each iteration of optimization (&gt;= 0).&quot;</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toFloat</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">HasStepSize</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HasStepSize</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
 
     <span class="k">def</span> <span class="nf">setStepSize</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
         <span class="sd">&quot;&quot;&quot;</span>
@@ -429,7 +429,7 @@
     <span class="n">handleInvalid</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">&quot;handleInvalid&quot;</span><span class="p">,</span> <span class="s2">&quot;how to handle invalid entries. Options are skip (which will filter out rows with bad values), or error (which will throw an error). More options may be added later.&quot;</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toString</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">HasHandleInvalid</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HasHandleInvalid</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
 
     <span class="k">def</span> <span class="nf">setHandleInvalid</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
         <span class="sd">&quot;&quot;&quot;</span>
@@ -452,7 +452,7 @@
     <span class="n">elasticNetParam</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">&quot;elasticNetParam&quot;</span><span class="p">,</span> <span class="s2">&quot;the ElasticNet mixing parameter, in range [0, 1]. For alpha = 0, the penalty is an L2 penalty. For alpha = 1, it is an L1 penalty.&quot;</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toFloat</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">HasElasticNetParam</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HasElasticNetParam</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_setDefault</span><span class="p">(</span><span class="n">elasticNetParam</span><span class="o">=</span><span class="mf">0.0</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">setElasticNetParam</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
@@ -476,7 +476,7 @@
     <span class="n">fitIntercept</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">&quot;fitIntercept&quot;</span><span class="p">,</span> <span class="s2">&quot;whether to fit an intercept term.&quot;</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toBoolean</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">HasFitIntercept</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HasFitIntercept</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_setDefault</span><span class="p">(</span><span class="n">fitIntercept</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">setFitIntercept</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
@@ -500,7 +500,7 @@
     <span class="n">standardization</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">&quot;standardization&quot;</span><span class="p">,</span> <span class="s2">&quot;whether to standardize the training features before fitting the model.&quot;</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toBoolean</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">HasStandardization</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HasStandardization</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_setDefault</span><span class="p">(</span><span class="n">standardization</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">setStandardization</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
@@ -524,7 +524,7 @@
     <span class="n">thresholds</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">&quot;thresholds&quot;</span><span class="p">,</span> <span class="s2">&quot;Thresholds in multi-class classification to adjust the probability of predicting each class. Array must have length equal to the number of classes, with values &gt; 0, excepting that at most one value may be 0. The class with largest value p/t is predicted, where p is the original probability of that class and t is the class&#39;s threshold.&quot;</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toListFloat</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">HasThresholds</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HasThresholds</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
 
     <span class="k">def</span> <span class="nf">setThresholds</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
         <span class="sd">&quot;&quot;&quot;</span>
@@ -547,7 +547,7 @@
     <span class="n">weightCol</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">&quot;weightCol&quot;</span><span class="p">,</span> <span class="s2">&quot;weight column name. If this is not set or empty, we treat all instance weights as 1.0.&quot;</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toString</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">HasWeightCol</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HasWeightCol</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
 
     <span class="k">def</span> <span class="nf">setWeightCol</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
         <span class="sd">&quot;&quot;&quot;</span>
@@ -570,7 +570,7 @@
     <span class="n">solver</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">&quot;solver&quot;</span><span class="p">,</span> <span class="s2">&quot;the solver algorithm for optimization. If this is not set or empty, default value is &#39;auto&#39;.&quot;</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toString</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">HasSolver</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HasSolver</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_setDefault</span><span class="p">(</span><span class="n">solver</span><span class="o">=</span><span class="s1">&#39;auto&#39;</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">setSolver</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
@@ -594,7 +594,7 @@
     <span class="n">varianceCol</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">&quot;varianceCol&quot;</span><span class="p">,</span> <span class="s2">&quot;column name for the biased sample variance of prediction.&quot;</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toString</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">HasVarianceCol</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HasVarianceCol</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
 
     <span class="k">def</span> <span class="nf">setVarianceCol</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
         <span class="sd">&quot;&quot;&quot;</span>
@@ -617,7 +617,7 @@
     <span class="n">aggregationDepth</span> <span class="o">=</span> <span class="n">Param</span><span class="p">(</span><span class="n">Params</span><span class="o">.</span><span class="n">_dummy</span><span class="p">(),</span> <span class="s2">&quot;aggregationDepth&quot;</span><span class="p">,</span> <span class="s2">&quot;suggested depth for treeAggregate (&gt;= 2).&quot;</span><span class="p">,</span> <span class="n">typeConverter</span><span class="o">=</span><span class="n">TypeConverters</span><span class="o">.</span><span class="n">toInt</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">HasAggregationDepth</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">HasAggregationDepth</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_setDefault</span><span class="p">(</span><span class="n">aggregationDepth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">setAggregationDepth</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
@@ -647,7 +647,7 @@
     
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">DecisionTreeParams</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">DecisionTreeParams</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
 
     <span class="k">def</span> <span class="nf">setMaxDepth</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
         <span class="sd">&quot;&quot;&quot;</span>

http://git-wip-us.apache.org/repos/asf/spark-website/blob/6bbac496/site/docs/2.1.2/api/python/_modules/pyspark/ml/pipeline.html
----------------------------------------------------------------------
diff --git a/site/docs/2.1.2/api/python/_modules/pyspark/ml/pipeline.html b/site/docs/2.1.2/api/python/_modules/pyspark/ml/pipeline.html
index c67138a..9abb3d8 100644
--- a/site/docs/2.1.2/api/python/_modules/pyspark/ml/pipeline.html
+++ b/site/docs/2.1.2/api/python/_modules/pyspark/ml/pipeline.html
@@ -105,7 +105,7 @@
         <span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        __init__(self, stages=None)</span>
 <span class="sd">        &quot;&quot;&quot;</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">Pipeline</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">Pipeline</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
         <span class="n">kwargs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_input_kwargs</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">setParams</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
 
@@ -187,18 +187,18 @@
 
     <span class="nd">@classmethod</span>
     <span class="nd">@since</span><span class="p">(</span><span class="s2">&quot;2.0.0&quot;</span><span class="p">)</span>
-<div class="viewcode-block" id="Pipeline.read"><a class="viewcode-back" href="../../../pyspark.ml.html#pyspark.ml.Pipeline.read">[docs]</a>    <span class="k">def</span> <span class="nf">read</span><span class="p">(</span><span class="n">cls</span><span class="p">):</span>
+<div class="viewcode-block" id="Pipeline.read"><a class="viewcode-back" href="../../../pyspark.ml.html#pyspark.ml.Pipeline.read">[docs]</a>    <span class="k">def</span> <span class="nf">read</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span>
         <span class="sd">&quot;&quot;&quot;Returns an MLReader instance for this class.&quot;&quot;&quot;</span>
-        <span class="k">return</span> <span class="n">JavaMLReader</span><span class="p">(</span><span class="n">cls</span><span class="p">)</span></div>
+        <span class="k">return</span> <span class="n">JavaMLReader</span><span class="p">(</span><span class="bp">cls</span><span class="p">)</span></div>
 
     <span class="nd">@classmethod</span>
-    <span class="k">def</span> <span class="nf">_from_java</span><span class="p">(</span><span class="n">cls</span><span class="p">,</span> <span class="n">java_stage</span><span class="p">):</span>
+    <span class="k">def</span> <span class="nf">_from_java</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">java_stage</span><span class="p">):</span>
         <span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Given a Java Pipeline, create and return a Python wrapper of it.</span>
 <span class="sd">        Used for ML persistence.</span>
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="c1"># Create a new instance of this stage.</span>
-        <span class="n">py_stage</span> <span class="o">=</span> <span class="n">cls</span><span class="p">()</span>
+        <span class="n">py_stage</span> <span class="o">=</span> <span class="bp">cls</span><span class="p">()</span>
         <span class="c1"># Load information from java_stage to the instance.</span>
         <span class="n">py_stages</span> <span class="o">=</span> <span class="p">[</span><span class="n">JavaParams</span><span class="o">.</span><span class="n">_from_java</span><span class="p">(</span><span class="n">s</span><span class="p">)</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">java_stage</span><span class="o">.</span><span class="n">getStages</span><span class="p">()]</span>
         <span class="n">py_stage</span><span class="o">.</span><span class="n">setStages</span><span class="p">(</span><span class="n">py_stages</span><span class="p">)</span>
@@ -213,8 +213,8 @@
 <span class="sd">        &quot;&quot;&quot;</span>
 
         <span class="n">gateway</span> <span class="o">=</span> <span class="n">SparkContext</span><span class="o">.</span><span class="n">_gateway</span>
-        <span class="n">cls</span> <span class="o">=</span> <span class="n">SparkContext</span><span class="o">.</span><span class="n">_jvm</span><span class="o">.</span><span class="n">org</span><span class="o">.</span><span class="n">apache</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">ml</span><span class="o">.</span><span class="n">PipelineStage</span>
-        <span class="n">java_stages</span> <span class="o">=</span> <span class="n">gateway</span><span class="o">.</span><span class="n">new_array</span><span class="p">(</span><span class="n">cls</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">getStages</span><span class="p">()))</span>
+        <span class="bp">cls</span> <span class="o">=</span> <span class="n">SparkContext</span><span class="o">.</span><span class="n">_jvm</span><span class="o">.</span><span class="n">org</span><span class="o">.</span><span class="n">apache</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">ml</span><span class="o">.</span><span class="n">PipelineStage</span>
+        <span class="n">java_stages</span> <span class="o">=</span> <span class="n">gateway</span><span class="o">.</span><span class="n">new_array</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">getStages</span><span class="p">()))</span>
         <span class="k">for</span> <span class="n">idx</span><span class="p">,</span> <span class="n">stage</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">getStages</span><span class="p">()):</span>
             <span class="n">java_stages</span><span class="p">[</span><span class="n">idx</span><span class="p">]</span> <span class="o">=</span> <span class="n">stage</span><span class="o">.</span><span class="n">_to_java</span><span class="p">()</span>
 
@@ -233,7 +233,7 @@
 <span class="sd">    &quot;&quot;&quot;</span>
 
     <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">stages</span><span class="p">):</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">PipelineModel</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">PipelineModel</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">stages</span> <span class="o">=</span> <span class="n">stages</span>
 
     <span class="k">def</span> <span class="nf">_transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dataset</span><span class="p">):</span>
@@ -266,12 +266,12 @@
 
     <span class="nd">@classmethod</span>
     <span class="nd">@since</span><span class="p">(</span><span class="s2">&quot;2.0.0&quot;</span><span class="p">)</span>
-<div class="viewcode-block" id="PipelineModel.read"><a class="viewcode-back" href="../../../pyspark.ml.html#pyspark.ml.PipelineModel.read">[docs]</a>    <span class="k">def</span> <span class="nf">read</span><span class="p">(</span><span class="n">cls</span><span class="p">):</span>
+<div class="viewcode-block" id="PipelineModel.read"><a class="viewcode-back" href="../../../pyspark.ml.html#pyspark.ml.PipelineModel.read">[docs]</a>    <span class="k">def</span> <span class="nf">read</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span>
         <span class="sd">&quot;&quot;&quot;Returns an MLReader instance for this class.&quot;&quot;&quot;</span>
-        <span class="k">return</span> <span class="n">JavaMLReader</span><span class="p">(</span><span class="n">cls</span><span class="p">)</span></div>
+        <span class="k">return</span> <span class="n">JavaMLReader</span><span class="p">(</span><span class="bp">cls</span><span class="p">)</span></div>
 
     <span class="nd">@classmethod</span>
-    <span class="k">def</span> <span class="nf">_from_java</span><span class="p">(</span><span class="n">cls</span><span class="p">,</span> <span class="n">java_stage</span><span class="p">):</span>
+    <span class="k">def</span> <span class="nf">_from_java</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">java_stage</span><span class="p">):</span>
         <span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Given a Java PipelineModel, create and return a Python wrapper of it.</span>
 <span class="sd">        Used for ML persistence.</span>
@@ -279,7 +279,7 @@
         <span class="c1"># Load information from java_stage to the instance.</span>
         <span class="n">py_stages</span> <span class="o">=</span> <span class="p">[</span><span class="n">JavaParams</span><span class="o">.</span><span class="n">_from_java</span><span class="p">(</span><span class="n">s</span><span class="p">)</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">java_stage</span><span class="o">.</span><span class="n">stages</span><span class="p">()]</span>
         <span class="c1"># Create a new instance of this stage.</span>
-        <span class="n">py_stage</span> <span class="o">=</span> <span class="n">cls</span><span class="p">(</span><span class="n">py_stages</span><span class="p">)</span>
+        <span class="n">py_stage</span> <span class="o">=</span> <span class="bp">cls</span><span class="p">(</span><span class="n">py_stages</span><span class="p">)</span>
         <span class="n">py_stage</span><span class="o">.</span><span class="n">_resetUid</span><span class="p">(</span><span class="n">java_stage</span><span class="o">.</span><span class="n">uid</span><span class="p">())</span>
         <span class="k">return</span> <span class="n">py_stage</span>
 
@@ -291,8 +291,8 @@
 <span class="sd">        &quot;&quot;&quot;</span>
 
         <span class="n">gateway</span> <span class="o">=</span> <span class="n">SparkContext</span><span class="o">.</span><span class="n">_gateway</span>
-        <span class="n">cls</span> <span class="o">=</span> <span class="n">SparkContext</span><span class="o">.</span><span class="n">_jvm</span><span class="o">.</span><span class="n">org</span><span class="o">.</span><span class="n">apache</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">ml</span><span class="o">.</span><span class="n">Transformer</span>
-        <span class="n">java_stages</span> <span class="o">=</span> <span class="n">gateway</span><span class="o">.</span><span class="n">new_array</span><span class="p">(</span><span class="n">cls</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">stages</span><span class="p">))</span>
+        <span class="bp">cls</span> <span class="o">=</span> <span class="n">SparkContext</span><span class="o">.</span><span class="n">_jvm</span><span class="o">.</span><span class="n">org</span><span class="o">.</span><span class="n">apache</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">ml</span><span class="o">.</span><span class="n">Transformer</span>
+        <span class="n">java_stages</span> <span class="o">=</span> <span class="n">gateway</span><span class="o">.</span><span class="n">new_array</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">stages</span><span class="p">))</span>
         <span class="k">for</span> <span class="n">idx</span><span class="p">,</span> <span class="n">stage</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">stages</span><span class="p">):</span>
             <span class="n">java_stages</span><span class="p">[</span><span class="n">idx</span><span class="p">]</span> <span class="o">=</span> <span class="n">stage</span><span class="o">.</span><span class="n">_to_java</span><span class="p">()</span>
 

http://git-wip-us.apache.org/repos/asf/spark-website/blob/6bbac496/site/docs/2.1.2/api/python/_modules/pyspark/ml/recommendation.html
----------------------------------------------------------------------
diff --git a/site/docs/2.1.2/api/python/_modules/pyspark/ml/recommendation.html b/site/docs/2.1.2/api/python/_modules/pyspark/ml/recommendation.html
index 418bda9..341a456 100644
--- a/site/docs/2.1.2/api/python/_modules/pyspark/ml/recommendation.html
+++ b/site/docs/2.1.2/api/python/_modules/pyspark/ml/recommendation.html
@@ -187,7 +187,7 @@
 <span class="sd">                 intermediateStorageLevel=&quot;MEMORY_AND_DISK&quot;, \</span>
 <span class="sd">                 finalStorageLevel=&quot;MEMORY_AND_DISK&quot;)</span>
 <span class="sd">        &quot;&quot;&quot;</span>
-        <span class="nb">super</span><span class="p">(</span><span class="n">ALS</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="n">__init__</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">(</span><span class="n">ALS</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_java_obj</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_new_java_obj</span><span class="p">(</span><span class="s2">&quot;org.apache.spark.ml.recommendation.ALS&quot;</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">uid</span><span class="p">)</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">_setDefault</span><span class="p">(</span><span class="n">rank</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">maxIter</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">regParam</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span> <span class="n">numUserBlocks</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">numItemBlocks</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span>
                          <span class="n">implicitPrefs</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span> <span class="n">userCol</span><span class="o">=</span><span class="s2">&quot;user&quot;</span><span class="p">,</span> <span class="n">itemCol</span><span class="o">=</span><span class="s2">&quot;item&quot;</span><span class="p">,</span>
@@ -413,11 +413,11 @@
         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_call_java</span><span class="p">(</span><span class="s2">&quot;itemFactors&quot;</span><span class="p">)</span></div>
 
 
-<span class="k">if</span> <span class="n">__name__</span> <span class="o">==</span> <span class="s2">&quot;__main__&quot;</span><span class="p">:</span>
+<span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s2">&quot;__main__&quot;</span><span class="p">:</span>
     <span class="kn">import</span> <span class="nn">doctest</span>
     <span class="kn">import</span> <span class="nn">pyspark.ml.recommendation</span>
     <span class="kn">from</span> <span class="nn">pyspark.sql</span> <span class="k">import</span> <span class="n">SparkSession</span>
-    <span class="n">globs</span> <span class="o">=</span> <span class="n">pyspark</span><span class="o">.</span><span class="n">ml</span><span class="o">.</span><span class="n">recommendation</span><span class="o">.</span><span class="n">__dict__</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+    <span class="n">globs</span> <span class="o">=</span> <span class="n">pyspark</span><span class="o">.</span><span class="n">ml</span><span class="o">.</span><span class="n">recommendation</span><span class="o">.</span><span class="vm">__dict__</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
     <span class="c1"># The small batch size here ensures that we see multiple batches,</span>
     <span class="c1"># even in these small test examples:</span>
     <span class="n">spark</span> <span class="o">=</span> <span class="n">SparkSession</span><span class="o">.</span><span class="n">builder</span>\


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