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authorXiangrui Meng <meng@databricks.com>2015-11-20 16:51:47 -0800
committerXiangrui Meng <meng@databricks.com>2015-11-20 16:51:47 -0800
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treee12906b380b86a6f98230d7f4c8f74e641af8961 /docs/ml-guide.md
parent47815878ad5e47e89bfbd57acb848be2ce67a4a5 (diff)
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Revert "[SPARK-11689][ML] Add user guide and example code for LDA under spark.ml"
This reverts commit e359d5dcf5bd300213054ebeae9fe75c4f7eb9e7.
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@@ -40,7 +40,6 @@ Also, some algorithms have additional capabilities in the `spark.ml` API; e.g.,
provide class probabilities, and linear models provide model summaries.
* [Feature extraction, transformation, and selection](ml-features.html)
-* [Clustering](ml-clustering.html)
* [Decision Trees for classification and regression](ml-decision-tree.html)
* [Ensembles](ml-ensembles.html)
* [Linear methods with elastic net regularization](ml-linear-methods.html)
@@ -951,4 +950,4 @@ model.transform(test)
{% endhighlight %}
</div>
-</div> \ No newline at end of file
+</div>