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Release 0.1.4: configurable regularization for script training - #6
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Scripts can now choose regularization strength with
train(x, y, "lasso", #{ alpha: 0.1 })or the corresponding logistic-regression call. Existing three-argument calls and empty options maps retain the previous defaults. Unknown options, unsupported linear-regression options, negative or non-finite values, and wrong types return Rhai errors.This prepares 0.1.4 with
alphaas the only new option. It adds a held-out comparison example and keeps the README at 50 lines; detailed usage stays in the API reference and usage guide.Validation: