Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/8279#discussion_r37315899
--- Diff: docs/mllib-frequent-pattern-mining.md ---
@@ -77,22 +79,60 @@ that stores the frequent itemsets with their
frequencies.
import java.util.List;
import com.google.common.base.Joiner;
+import com.google.common.collect.Lists;
--- End diff --
Guava utils are not necessary here. Could you help verify the following?
1. The `Joiner` usage can be removed. `println("[" +
Joiner.on(",").join(itemset.javaItems()) + "]")` is the same as
`println(itemset.javaItems())`.
2. `Lists.newArrayList` could be replaced by Java's `Arrays.asList`.
Then we can remove Guava dependency from the example code.
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