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parsnip 1.2.0
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@topepo topepo released this 16 Feb 18:09
v1.2.0
a30a15e
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Bug Fixes

  • Tightened logic for outcome checking. This resolves issues—some errors and some silent failures—when atomic outcome variables have an attribute (#1060, #1061).

  • Fixed bug in fitting some model types with the "spark" engine (#1045).

  • Fixed issues in metadata for the "brulee" engine where several arguments were mistakenly protected. (#1050, #1054)

  • Fixed documentation for mlp(engine = "brulee"): the default values for learn_rate and epochs were swapped (#1018).

  • Fixed a bug in the integration with workflows where using a model formula with a formula preprocessor could result in a double intercept (#1033).

Other Changes

  • We no longer add eval_time arguments to the prediction specification for the engine (#1039).

  • parsnip now lets the engines for [mlp()] check for acceptable values of the activation function (#1019)

  • rpart_train() has been deprecated in favor of using decision_tree() with the "rpart" engine or rpart::rpart() directly (#1044).

  • .filter_eval_time() was moved to the survival standalone file.

  • Improved errors and documentation related to special terms in formulas. See ?model_formula to learn more. (#770, #1014)

  • Improved errors in cases where the outcome column is mis-specified. (#1003)

  • The new_data argument for the predict() method for censoring_model_reverse_km objects has been deprecated (#965).

  • When computing censoring weights, the resulting vectors are no longer named (#1023).

  • The predict() method for censoring_model_reverse_km objects now checks that ... are empty (#1029).

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