Download Latest Version m2cgen-0.10.0.tar.gz (55.8 kB)
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m2cgen-0.10.0.tar.gz 2022-04-20 55.8 kB
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m2cgen-0.10.0-py3-none-any.whl 2022-04-20 92.2 kB
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README.md 2022-04-20 972 Bytes
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v0.10.0.tar.gz 2022-04-20 188.7 kB
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v0.10.0.zip 2022-04-20 357.0 kB
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Totals: 5 Items   694.7 kB 0
  • Python 3.6 is no longer supported.
  • Added support for Python 3.9 and 3.10.
  • Trained models can now be transpiled into Rust and Elixir 🎉
  • Model support:
  • Added support for SGDRegressor from the lightning package.
  • Added support for extremely randomized trees in the LightGBM package.
  • Added support for OneClassSVM from the scikit-learn package.
  • Various improvements to handle the latest versions of the supported models.
  • Various CI/CD improvements including migration from coveralls to codecov, automated generation of the code examples and automated GitHub Release creation.
  • Minor codebase cleanup.
  • Significantly reduced the number of redundant parentheses and return statements in the generated code.
  • Latest Dart language versions are supported.
  • Programming languages can provide native implementation of sigmoid and softmax functions.
  • Improved code generation speed by adding new lines at the end of a generated code.
Source: README.md, updated 2022-04-20