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@hfrick hfrick released this 02 Feb 17:01
v0.3.0
8d76aba
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Learn about vigilant mode.

New features

  • multi_predict() is now available for all prediction types for proportional_hazards() models with the "glmnet" engine, so newly also for type = "time" and type = "raw" (#277, #282).

  • Random forests with the "aorsf" engine can now predict survival time, i.e., predict(type = "time") is now available (#308).

Breaking change

  • The survival_prob_*(), survival_time_*(), and hazard_*() helper functions now all take a parsnip model_fit object as the main input, instead of an engine fit as was the case for some of them previously (#302).

Bug fixes

  • extract_fit_engine() now works properly for proportional hazards models fitted with the "glmnet" engine (#266).

  • multi_predict(type = "survival") for proportional_hazards(engine = "glmnet") models: when used with a single penalty value, this value is now included in the results. It was previously omitted (#267, #282).

  • proportional_hazards(engine = "glmnet") models now don't pretend to be able to deal with sparse matrices when they are not (#291).

  • Fixed a bug for proportional_hazards(engine = "glmnet") where prediction didn't work for a workflow() with a formula as the preprocessor (#264).

Other

  • The helper functions survival_time_coxnet() and survival_prob_coxnet() gain a multi argument to allow multiple values for penalty (#278, #279).
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