m2cgen Files

Transform ML models into a native code

This is an exact mirror of the m2cgen project, hosted at https://github.com/BayesWitnesses/m2cgen. SourceForge is not affiliated with m2cgen. For more information, see the SourceForge Open Source Mirror Directory.

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Name	Modified	Size	InfoDownloads / Week
Parent folder
README.md	2020-02-11	488 Bytes	0
v0.6.0.tar.gz	2020-02-11	110.8 kB	0
v0.6.0.zip	2020-02-11	205.3 kB	0
Totals: 3 Items		316.6 kB	0

Trained models can now be transpiled into R, PowerShell and PHP. Major effort delivered solely by @StrikerRUS .
In Java interpreter introduced a logic that splits code into methods that is based on heuristics and which doesn't rely on SubroutineExpr from AST.
Added support of LightGBM and XGBoost Random Forest models.
XGBoost linear models are now supported.
LassoLarsCV, Perceptron and PassiveAggressiveClassifier estimators from scikit-learn package are now supported.

Source: README.md, updated 2020-02-11

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m2cgen Files

Transform ML models into a native code

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