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Version 0.7.0
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@michael-rapp michael-rapp released this 05 Dec 16:36
0.7.0
1c64e69

A major update to the BOOMER algorithm that introduces the following changes:

  • L1 regularization can now be used.
  • A more space-efficient data structure is now used for the sparse representation of binary predictions.
  • The Python API does now allow to access the rules in a model in a programmatic way.
  • It is now possible to output certain characteristics of training datasets and rule models.
  • Pre-built packages for the Linux platform are now available at PyPI.
  • The documentation has vastly been improved.
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