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NEWS.md

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# parsnip (development version)
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# parsnip 0.1.6
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## Model Specification Changes
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* The `liquidSVM` engine for `svm_rbf()` was deprecated due to that package's removal from CRAN. (#425)
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* New model specification `survival_reg()` for the new mode `"censored regression"` (#444). `surv_reg()` is now soft-deprecated (#448).
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* New model specification `proportional_hazards()` for the `"censored regression"` mode (#451).
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* New model specification `survival_reg()` for the new mode `"censored regression"` (#444). `surv_reg()` is now soft-deprecated (#448). This function is currently listed as internal until the engines are sorted out.
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* New model specification `proportional_hazards()` for the `"censored regression"` mode (#451). This function is currently listed as internal until the engines are sorted out.
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## Other Changes
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* Re-licensed package from GPL-2 to MIT. See [consent from copyright holders here](https://github.com/tidymodels/parsnip/issues/462).
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* Re-organized model documentation for `update` methods (#479).
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* `generics::required_pkgs()` was extended for `parsnip` objects.
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* Prediction functions now give a consistent error when a user uses an unavailable value of `type` (#489)
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* The `augment()` method was changed to avoid failing if the model does not enable class probabilities. The method now returns tibbles despite the input data class (#487) (#478)
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* xgboost engines now respect the `event_level` option for predictions (#460).
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# parsnip 0.1.5
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