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A series of Widgets for Orange3 to work with Spark ML

Project description

A set of widgets for Orange data mining suite to work with Apache Spark ML API.


  • Python >= 3.4
  • Pandas
  • Orange 3

Please follow the instruction to install Orange 3 first.

The main Orange project is hosted at: Download from:


  • A Spark Context.
  • A Hive Table.
  • A Dataframe from an SQL Query.
  • A Dataset Builder, basically a call to VectorAssembler, this is usefull before sending data to Estimators.
  • Transformers from the feature module.
  • Estimators from classification module.
  • Estimators from regression module.
  • Estimators from clustering module.
  • Evaluation from evaluator module.
  • A PySpark script executor + PySpark console.
  • DataFrame transformes for Pandas and Orangle Tables

… more coming soon!


First, you need to have Apache Spark installed. Follow the instructions here:

Then you can do:

pip install Orange3-spark

or install the add-on from the Orange’s Options | Add-ons menu. Note, if installing from Add-ons menu, the installation may fail if not all requirements are satisfiable.

If you require ODBC connectivity, you need to install pyodbc (which requires sql.h available if built with pip – that’s unixodbc-dev package on Linux).

If install is ok, you should see a new section in Orange containing a series of widgets from Spark ML API.

Project details

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Files for Orange3-spark, version 0.2.7
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