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Diffstat (limited to 'docs/mllib-frequent-pattern-mining.md')
| -rw-r--r-- | docs/mllib-frequent-pattern-mining.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/docs/mllib-frequent-pattern-mining.md b/docs/mllib-frequent-pattern-mining.md index 9fd9be0dd0..bcc066a185 100644 --- a/docs/mllib-frequent-pattern-mining.md +++ b/docs/mllib-frequent-pattern-mining.md @@ -39,11 +39,11 @@ MLlib's FP-growth implementation takes the following (hyper-)parameters: <div class="codetabs"> <div data-lang="scala" markdown="1"> -[`FPGrowth`](api/java/org/apache/spark/mllib/fpm/FPGrowth.html) implements the +[`FPGrowth`](api/scala/index.html#org.apache.spark.mllib.fpm.FPGrowth) implements the FP-growth algorithm. It take a `JavaRDD` of transactions, where each transaction is an `Iterable` of items of a generic type. Calling `FPGrowth.run` with transactions returns an -[`FPGrowthModel`](api/java/org/apache/spark/mllib/fpm/FPGrowthModel.html) +[`FPGrowthModel`](api/scala/index.html#org.apache.spark.mllib.fpm.FPGrowthModel) that stores the frequent itemsets with their frequencies. {% highlight scala %} |