After all this preamble, let's jump start our use of TensorFrames with this quick start tutorial. You can download and use the full notebook within Databricks Community Edition at http://bit.ly/2hwGyuC.
You can also run this from the PySpark shell (or other Spark environments), like any other Spark package:
# The version we're using in this notebook $SPARK_HOME/bin/pyspark --packages tjhunter:tensorframes:0.2.2-s_2.10 # Or use the latest version $SPARK_HOME/bin/pyspark --packages databricks:tensorframes:0.2.3-s_2.10
Note, you will only use one of the above commands (that is, not both). For more information, please refer to the
databricks/tensorframes GitHub repository (https://github.com/databricks/tensorframes).