8000 Release 0.7.0 · haesleinhuepf/apoc · GitHub
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0.7.0

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@haesleinhuepf haesleinhuepf released this 23 Apr 09:09
· 86 commits to main since this release

New features

  • TableRowClassifier.train() can consume table with NaN elements, which will be ignored while training
  • TableRowClassifier.train() can consume ground_truth list entries ==0 which will be ignored while training
  • Added a new predefined feature set v070

Backwards compatibility breaking changes

  • TableRowClassifier.predict() has no parameter return_numpy anymore and returns a numpy array.
  • Input features and results of TableRowClassifier train() and predict() are now always 1-dimensional. 2D arrays with shape (1, n) are no longer allowed.

Thanks to @kevinyamauchi for feedback and support!

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