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Bump version to 0.2.9 (#128)
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README.md

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

project/Build.scala

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lazy val commonSettings = Seq(
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version := "0.2.9-rc3",
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version := "0.2.9",
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name := "tensorframes",
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scalaVersion := sys.props.getOrElse("scala.version", "2.11.8"),
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organization := "databricks",

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