Skip to content

v0.7.0
Compare
Choose a tag to compare
@izeigerman izeigerman released this 07 Apr 16:47
v0.7.0
b50e1ab
  • Bug fixes:
    • Thresholds for XGBoost trees are forced to be float32 now (#168).
    • Fixed support for newer versions of XGBoost, in which the default value for the base_score parameter became None (#182).
  • Models can now be transpiled into the Dart language. Kudos to @MattConflitti for this great addition 🎉
  • Support for following models has been introduced:
    • Models from the statsmodels package are now supported. The list of added models includes: GLS, GLSAR, OLS, ProcessMLE, QuantReg and WLS.
    • Models from the lightning package: AdaGradRegressor/AdaGradClassifier, CDRegressor/CDClassifier, FistaRegressor/FistaClassifier, SAGARegressor/SAGAClassifier, SAGRegressor/SAGClassifier, SDCARegressor/SDCAClassifier, SGDClassifier, LinearSVR/LinearSVC and KernelSVC.
    • RANSACRegressor from the scikit-learn package.
  • The name of the scoring function can now be changed via a parameter. Thanks @mrshu 💪
  • The SubroutineExpr expression has been removed from AST. The logic of how to split the generated code into subroutines is now focused in interpreters and was completely removed from assemblers.
Assets 2
Loading