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| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| README.md | 2020-04-05 | 1.2 kB | |
| v0.7.0.tar.gz | 2020-04-05 | 124.5 kB | |
| v0.7.0.zip | 2020-04-05 | 227.8 kB | |
| Totals: 3 Items | 353.5 kB | 0 | |
- Bug fixes:
- Thresholds for XGBoost trees are forced to be float32 now (https://github.com/BayesWitnesses/m2cgen/issues/168).
- Fixed support for newer versions of XGBoost, in which the default value for the
base_scoreparameter became None (https://github.com/BayesWitnesses/m2cgen/issues/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
statsmodelspackage are now supported. The list of added models includes: GLS, GLSAR, OLS, ProcessMLE, QuantReg and WLS. - Models from the
lightningpackage: AdaGradRegressor/AdaGradClassifier, CDRegressor/CDClassifier, FistaRegressor/FistaClassifier, SAGARegressor/SAGAClassifier, SAGRegressor/SAGClassifier, SDCARegressor/SDCAClassifier, SGDClassifier, LinearSVR/LinearSVC and KernelSVC. - RANSACRegressor from the
scikit-learnpackage.
- Models from the
- The name of the scoring function can now be changed via a parameter. Thanks @mrshu 💪
- The
SubroutineExprexpression 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.