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Diffstat (limited to 'docs/mllib-linear-methods.md')
| -rw-r--r-- | docs/mllib-linear-methods.md | 20 |
1 files changed, 10 insertions, 10 deletions
diff --git a/docs/mllib-linear-methods.md b/docs/mllib-linear-methods.md index d31bec3e1b..bc914a1899 100644 --- a/docs/mllib-linear-methods.md +++ b/docs/mllib-linear-methods.md @@ -247,7 +247,7 @@ val modelL1 = svmAlg.run(training) All of MLlib's methods use Java-friendly types, so you can import and call them there the same way you do in Scala. The only caveat is that the methods take Scala RDD objects, while the Spark Java API uses a separate `JavaRDD` class. You can convert a Java RDD to a Scala one by -calling `.rdd()` on your `JavaRDD` object. A standalone application example +calling `.rdd()` on your `JavaRDD` object. A self-contained application example that is equivalent to the provided example in Scala is given bellow: {% highlight java %} @@ -323,9 +323,9 @@ svmAlg.optimizer() final SVMModel modelL1 = svmAlg.run(training.rdd()); {% endhighlight %} -In order to run the above standalone application, follow the instructions -provided in the [Standalone -Applications](quick-start.html#standalone-applications) section of the Spark +In order to run the above application, follow the instructions +provided in the [Self-Contained +Applications](quick-start.html#self-contained-applications) section of the Spark quick-start guide. Be sure to also include *spark-mllib* to your build file as a dependency. </div> @@ -482,12 +482,6 @@ public class LinearRegression { } } {% endhighlight %} - -In order to run the above standalone application, follow the instructions -provided in the [Standalone -Applications](quick-start.html#standalone-applications) section of the Spark -quick-start guide. Be sure to also include *spark-mllib* to your build file as -a dependency. </div> <div data-lang="python" markdown="1"> @@ -519,6 +513,12 @@ print("Mean Squared Error = " + str(MSE)) </div> </div> +In order to run the above application, follow the instructions +provided in the [Self-Contained Applications](quick-start.html#self-contained-applications) +section of the Spark +quick-start guide. Be sure to also include *spark-mllib* to your build file as +a dependency. + ## Streaming linear regression When data arrive in a streaming fashion, it is useful to fit regression models online, |