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jira: https://issues.apache.org/jira/browse/SPARK-11689 Add simple user guide for LDA under spark.ml and example code under examples/. Use include_example to include example code in the user guide markdown. Check SPARK-11606 for instructions. Original PR is reverted due to document build error. https://github.com/apache/spark/pull/9722 mengxr feynmanliang yinxusen Sorry for the troubling. Author: Yuhao Yang <hhbyyh@gmail.com> Closes #9974 from hhbyyh/ldaMLExample.
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| layout | title | displayTitle |
|---|---|---|
| global | Clustering - ML | <a href="ml-guide.html">ML</a> - Clustering |
In this section, we introduce the pipeline API for clustering in mllib.
Latent Dirichlet allocation (LDA)
LDA is implemented as an Estimator that supports both EMLDAOptimizer and OnlineLDAOptimizer,
and generates a LDAModel as the base models. Expert users may cast a LDAModel generated by
EMLDAOptimizer to a DistributedLDAModel if needed.
Refer to the Scala API docs for more details.
{% include_example scala/org/apache/spark/examples/ml/LDAExample.scala %}
Refer to the Java API docs for more details.
{% include_example java/org/apache/spark/examples/ml/JavaLDAExample.java %}