Bump version to 0.2.9 (#128)

README.md

@@ -54,7 +54,7 @@ Additionally, if you want to run unit tests for python, you need the following d
 Assuming that `SPARK_HOME` is set, you can use PySpark like any other Spark package.
 
 ```bash
-$SPARK_HOME/bin/pyspark --packages databricks:tensorframes:0.2.9-rc3-s_2.11
+$SPARK_HOME/bin/pyspark --packages databricks:tensorframes:0.2.9-s_2.11
 ```
 
 Here is a small program that uses Tensorflow to add 3 to an existing column.
@@ -152,7 +152,7 @@ The scala support is a bit more limited than python. In scala, operations can be
 You simply use the published package:
 
 ```bash
-$SPARK_HOME/bin/spark-shell --packages databricks:tensorframes:0.2.9-rc3
+$SPARK_HOME/bin/spark-shell --packages databricks:tensorframes:0.2.9
 ```
 
 Here is the same program as before:
@@ -202,14 +202,14 @@ build/sbt distribution/spDist
 Assuming that SPARK_HOME is set and that you are in the root directory of the project:
 
 ```bash
-$SPARK_HOME/bin/spark-shell --jars $PWD/target/testing/scala-2.11/tensorframes-assembly-0.2.9-rc3.jar
+$SPARK_HOME/bin/spark-shell --jars $PWD/target/testing/scala-2.11/tensorframes-assembly-0.2.9.jar
 ```
 
 If you want to run the python version:
 
 ```bash
-PYTHONPATH=$PWD/target/testing/scala-2.11/tensorframes-assembly-0.2.9-rc3.jar \
-$SPARK_HOME/bin/pyspark --jars $PWD/target/testing/scala-2.11/tensorframes-assembly-0.2.9-rc3.jar
+PYTHONPATH=$PWD/target/testing/scala-2.11/tensorframes-assembly-0.2.9.jar \
+$SPARK_HOME/bin/pyspark --jars $PWD/target/testing/scala-2.11/tensorframes-assembly-0.2.9.jar
 ```
 
 ## Acknowledgements

project/Build.scala

@@ -11,7 +11,7 @@ object Shading extends Build {
 
 
   lazy val commonSettings = Seq(
-    version := "0.2.9-rc3",
+    version := "0.2.9",
     name := "tensorframes",
     scalaVersion := sys.props.getOrElse("scala.version", "2.11.8"),
     organization := "databricks",