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NEWS.md

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# parsnip (development version)
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# parsnip 1.3.0
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## New Features
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* Predictions are encoded via a custom vector type. See [hardhat::quantile_pred()].
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* Predicted quantile levels are designated when the new mode is specified. See `?set_mode`.
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* `fit_xy()` can now take dgCMatrix input for `x` argument (#1121).
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* `fit_xy()` can now take sparse tibbles as data values (#1165).
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* `predict()` can now take dgCMatrix and sparse tibble input for `new_data` argument, and error informatively when model doesn't support it (#1167).
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* Updates for sparse data formats:
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* `fit_xy()` can now take dgCMatrix input for `x` argument (#1121).
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* `fit_xy()` can now take sparse tibbles as data values (#1165).
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* `predict()` can now take dgCMatrix and sparse tibble input for `new_data` argument, and error informatively when model doesn't support it (#1167).
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* New `extract_fit_time()` method has been added that returns the time it took to train the model (#853).
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* `mlp()` with `keras` engine now work for all activation functions currently supported by `keras` (#1127).
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* `mlp()` now has a `brulee_two_layer` engine.
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## Other Changes
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* Transitioned package errors and warnings to use cli (#1147 and #1148 by @shum461, #1153 by @RobLBaker and @wright13, #1154 by @JamesHWade, #1160, #1161, #1081).
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* `NULL` is no longer accepted as an engine (#1242).
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# parsnip 1.2.1
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* Added a missing `tidy()` method for survival analysis glmnet models (#1086).

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