Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/3693#discussion_r21999847
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/feature/Word2Vec.scala ---
@@ -121,9 +121,19 @@ class Word2Vec extends Serializable with Logging {
/** context words from [-window, window] */
private val window = 5
-
- /** minimum frequency to consider a vocabulary word */
- private val minCount = 5
+
+ /** The minimum number of times a token must occur in the training
corpus to be
+ * included in the word2vec model (default: 5).
+ */
+ private var minCount = 5
+
+ /** Sets minCount, the minimum number of times a token must appear to be
included in the word2vec model's
+ * vocabulary (default: 5).
+ */
+ def setMinCount(minCount: Int): this.type = {
+ this.minCount = minCount
--- End diff --
4 space indent
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]