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--- spark [2014/11/07 15:47]
straka
+++ spark [2014/11/11 08:40]
straka
@@ Line 16: / Line 16: @@
   * Official [[http://spark.apache.org/docs/latest/quick-start.html|Quick Start]]
   * Official [[http://spark.apache.org/docs/latest/programming-guide.html|Spark Programming Guide]]
+  * Official [[http://spark.apache.org/docs/latest/mllib-guide.html|MLlib Programming Guide]] (Spark’s scalable machine learning library consisting of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as underlying optimization primitives)
   * Official [[http://spark.apache.org/docs/latest/api/python/index.html|Python API Reference]]/[[http://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.package|Scala API Reference]]
@@ Line 22: / Line 23: @@
 Latest supported version of Spark is available in ''/net/projects/spark''. To use it, add
   export PATH="/net/projects/spark/bin:/net/projects/spark/sge:$PATH"
-to your ''.bashrc'' (or ''.profile'' and log in again; or to your favourite shell config file). If you want to use Scala and do not have ''sbt'' already installed (or you do not know what ''sbt'' is), add also
+to your ''.bashrc'' (or to your favourite shell config file). If you want to use Scala and do not have ''sbt'' already installed (or you do not know what ''sbt'' is), add also
   export PATH="/net/projects/spark/sbt/bin:$PATH"
-  * [[spark:Running Spark on Single Machine]]
+  * [[spark:Running Spark on Single Machine or on Cluster]]
-  * [[spark:Running Spark Cluster in UFAL Environment]]
   * [[spark:Using Python]]
   * [[spark:Using Scala]]

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