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pykoop v2.0.0
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@sdahdah sdahdah released this 26 Sep 19:29
· 8 commits to main since this release
v2.0.0
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This release introduces two breaking changes, necessitating a new major version:

  1. The deprecated KoopmanPipeline.predict_multistep() method has been removed.
  2. They kernel_or_ift parameter of RandomFourierKernelApprox has been renamed to kernel_or_ft, and the corresponding ift_ attribute has been renamed to ft_.

Other than bug fixes, the most notable improvement is the significant reduction of import time, which is due to the removal of the pandas dependency.

Full changelog: v1.2.3...v2.0.0

New features

  • Removed pandas dependency to resolve slow imports (#166)

Bug fixes

  • Fixed incorrect argument names for kernel approximation (#175)
  • Fixed bug when using multioutput='raw_values' regression metric keyword argument when scoring (#164)
  • Fixed prediction bug when no inputs are used (#173)
  • Fixed scikit-learn method resolution order (#177)
  • Fixed default LMI strictness (#168)
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