Github user feynmanliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/7705#discussion_r35782992
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAModel.scala ---
@@ -53,6 +51,34 @@ abstract class LDAModel private[clustering] extends
Saveable {
/** Vocabulary size (number of terms or terms in the vocabulary) */
def vocabSize: Int
+ /** Dirichlet parameters for document-topic distribution. */
+ protected def docConcentration: Vector
+
+ /**
+ * Concentration parameter (commonly named "alpha") for the prior placed
on documents'
+ * distributions over topics ("theta").
+ *
+ * This is the parameter to a Dirichlet distribution.
+ */
+ def getDocConcentration: Vector = this.docConcentration
+
+ /** Dirichlet parameters for topic-word distribution. */
+ protected def topicConcentration: Double
+
+ /**
+ * Concentration parameter (commonly named "beta" or "eta") for the
prior placed on topics'
+ * distributions over terms.
+ *
+ * This is the parameter to a symmetric Dirichlet distribution.
+ *
+ * Note: The topics' distributions over terms are called "beta" in the
original LDA paper
+ * by Blei et al., but are called "phi" in many later papers such as
Asuncion et al., 2009.
+ */
+ def getTopicConcentration: Double = this.topicConcentration
+
+ /** Shape parameter for random initialization of gamma. */
--- End diff --
OK
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