Converters ExtensionConverters Extension

This extension contains a number of operators designed for converting different IOObjects into other useful representations.

This extension contains a number of operators designed for converting different IOObjects into other useful representations. For example there is a PCA to ExampleSet operator which takes a PCA model and converts it into an ExampleSet which can be processed further or written to file. The operator are grouped depending on the object to be converted. The following groups with the corresponding operators are currently implemented:

  • Exampleset
    • ExampleSet to HTML
    • ExampleSet to Weights
  • Matrix
    • Matrix to ExampleSet
  • Model
    • Association Rules to ExampleSet
    • FeatureSet to Model
    • Decision Tree to ExampleSet
    • Kernel Model to ExampleSet
    • Linear Regression Model to ExampleSet (bugfix in 0.9.0)
    • Logistic Regression to ExampleSet
  • Parameters:
    • Parameter Set to ExampleSet
  • Performance:
    • Confusion Matrix to ExampleSet
    • ROC Curve to ExampleSet
  • Preprocessing Model
    • Normalization to ExampleSet
    • PCA Result to ExampleSet
    • SVD to ExampleSet
  • Text
    • Extract Tokens
  • Threshold
    • Threshold to ExampleSet

Changes in 1.2.0

  • Added a new Operator Macros to Example Set, which gives you all current macros in a table.
  • Added new operators JSON to IOObject and IOObject to JSON to convert objects into strings and back
  • Added new operator Extract Description which allows to extract the string seen in the Description tab for any object.

Version 1.0.0

  • Fixed a bug in Logistic Regression to Example Set operator which made it impossible to convert the new LogRegs.

Version 0.9.0 (2020-11-17)

  • Bugfix for Linear Regression Model to ExampleSet: It now correctly works for Generalized Linear Models.

Version 0.8.1 (2020-09-22)

  • Associaton Rules to ExampleSet enhancement: Added the Promise and Conclusion Frequency

Version 0.8.0 (2020-09-15)

  • Enhancements for Association Rules to ExampleSet
    • Premises and Conclusions are now correctly comma separated (removed space)
    • Added an input port for the corresponding item set. If it is connected then the frequency of premises and conclusions are correctly added.

Version 0.7.0 (2020-06-03)

  • New operator: FeatureSet to Model, which converts Feature Sets (generated by Automatic Feature Engineering) into Preprocessing Models. This allows grouping with other models and the use in operators like Model Simulator.

Version 0.6.0 (2019-09-11)

  • New operator: Extract Tokens, which extracts tokens of a document
  • Bugfix in Logistic Regression to ExampleSet, so that the Operator now also can handle Generalized Linear Model

Version 0.5.0 (2019-02-22)

  • New operator Confusion Matrix to ExampleSet
  • Added tags to all operators, so that they can be found more easily

Version 0.4.1 (2018-10-22)

  • New tutorial process for the PCA Result to ExampleSet operator and improved/corrected help text of this operator.
  • Updated tutorial processes for Association Rules to ExampleSet, Matrix to ExampleSet and Parameter Set to ExampleSet.

Version 0.4.0 (2018-06-08)

  • New Operator ExampleSet to Weights
  • New Operator Threshold to ExampleSet
  • New Operator SVD to ExampleSet

Product Details

Version 1.2.0
File size 133 kB
Downloads 39199 (6 Today)39199 downloads
Vendor RapidMiner Labs
Category Operators
Released 6/7/23
Last Update 6/7/23 11:24 AM
License AGPL
Product web site
Rating 0.0 stars(0)