Categories

Versions

You are viewing the RapidMiner Studio documentation for version 10.2 - Check here for latest version

Write XRFF (Advanced File Connectors)

Synopsis

Writes the values of all examples into an XRFF-file.

Description

Writes values of all examples into an XRFF file which can be used by the machine learning library Weka. The XRFF format is described in the XrffExampleSource operator which is able to read XRFF files to make them usable with RapidMiner.

Please note that writing attribute weights is not supported, please use the other RapidMiner operators for attribute weight loading and writing for this purpose.

Input

  • input (Data Table)

    This input port expects an ExampleSet.

Output

  • through (Data Table)

    The ExampleSet that was provided at the input port is delivered through this output port without any modifications. This is usually used to reuse the same ExampleSet in further operators of the process.

  • file (File)

    This port buffers the file object for passing it to the reader operators

Parameters

  • example_set_fileThe path of the XRFF file is specified here. It can be selected using the choose a file button. Range: filename
  • encodingThis is an expert parameter. A long list of encoding is provided; users can select any of them. Range: selection