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Revert "[SPARK-11689][ML] Add user guide and example code for LDA under spark.ml"
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‎docs/ml-clustering.md

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‎docs/ml-guide.md

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@@ -40,7 +40,6 @@ Also, some algorithms have additional capabilities in the `spark.ml` API; e.g.,
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provide class probabilities, and linear models provide model summaries.
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* [Feature extraction, transformation, and selection](ml-features.html)
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* [Clustering](ml-clustering.html)
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* [Decision Trees for classification and regression](ml-decision-tree.html)
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* [Ensembles](ml-ensembles.html)
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* [Linear methods with elastic net regularization](ml-linear-methods.html)
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{% endhighlight %}
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‎docs/mllib-guide.md

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concepts. It also contains sections on using algorithms within the Pipelines API, for example:
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* [Feature extraction, transformation, and selection](ml-features.html)
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* [Clustering](ml-clustering.html)
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* [Decision trees for classification and regression](ml-decision-tree.html)
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* [Ensembles](ml-ensembles.html)
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* [Linear methods with elastic net regularization](ml-linear-methods.html)

‎examples/src/main/java/org/apache/spark/examples/ml/JavaLDAExample.java

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‎examples/src/main/scala/org/apache/spark/examples/ml/LDAExample.scala

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