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Diffstat (limited to 'docs/mllib-statistics.md')
| -rw-r--r-- | docs/mllib-statistics.md | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/docs/mllib-statistics.md b/docs/mllib-statistics.md index 02b81f153b..329855e565 100644 --- a/docs/mllib-statistics.md +++ b/docs/mllib-statistics.md @@ -80,7 +80,7 @@ correlation methods are currently Pearson's and Spearman's correlation. calculate correlations between series. Depending on the type of input, two `RDD[Double]`s or an `RDD[Vector]`, the output will be a `Double` or the correlation `Matrix` respectively. -Refer to the [`Statistics` Scala docs](api/scala/index.html#org.apache.spark.mllib.stat.Statistics) for details on the API. +Refer to the [`Statistics` Scala docs](api/scala/index.html#org.apache.spark.mllib.stat.Statistics$) for details on the API. {% include_example scala/org/apache/spark/examples/mllib/CorrelationsExample.scala %} </div> @@ -210,7 +210,7 @@ message. run a 1-sample, 2-sided Kolmogorov-Smirnov test. The following example demonstrates how to run and interpret the hypothesis tests. -Refer to the [`Statistics` Scala docs](api/scala/index.html#org.apache.spark.mllib.stat.Statistics) for details on the API. +Refer to the [`Statistics` Scala docs](api/scala/index.html#org.apache.spark.mllib.stat.Statistics$) for details on the API. {% include_example scala/org/apache/spark/examples/mllib/HypothesisTestingKolmogorovSmirnovTestExample.scala %} </div> @@ -277,12 +277,12 @@ uniform, standard normal, or Poisson. <div class="codetabs"> <div data-lang="scala" markdown="1"> -[`RandomRDDs`](api/scala/index.html#org.apache.spark.mllib.random.RandomRDDs) provides factory +[`RandomRDDs`](api/scala/index.html#org.apache.spark.mllib.random.RandomRDDs$) provides factory methods to generate random double RDDs or vector RDDs. The following example generates a random double RDD, whose values follows the standard normal distribution `N(0, 1)`, and then map it to `N(1, 4)`. -Refer to the [`RandomRDDs` Scala docs](api/scala/index.html#org.apache.spark.mllib.random.RandomRDDs) for details on the API. +Refer to the [`RandomRDDs` Scala docs](api/scala/index.html#org.apache.spark.mllib.random.RandomRDDs$) for details on the API. {% highlight scala %} import org.apache.spark.SparkContext |