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4 changes: 2 additions & 2 deletions NEWS.md
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* Fixed documentation for `mlp(engine = "brulee")`: the default values for `learn_rate` and `epochs` were swapped (#1018).

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

# parsnip 1.1.1

* Fixed bug where prediction on rank deficient `lm()` models produced `.pred_res` instead of `.pred`. (#985)
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* Fixed bug where `boost_tree()` models couldn't be fit with 1 predictor if `validation` argument was used. (#994)

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

# parsnip 1.1.0

This release of parsnip contains a number of new features and bug fixes, accompanied by several optimizations that substantially decrease the time to `fit()` and `predict()` with the package.
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