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tune 0.2.0
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@topepo topepo released this 19 Mar 16:38
v0.2.0
139360d
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Learn about vigilant mode.

  • The .notes column now contains information on the type of note (error or warning), the location where it occurred, and the note. Printing a tune result has different output describing the notes.

  • collect_notes() can be used to gather any notes to a tibble. (#363)

  • Parallel processing with PSOCK clusters is now more efficient, due to carefully avoiding sending extraneous information to each worker (#384, #396).

  • The engine arguments for xgboost alpha, lambda, and scale_pos_weight are now tunable.

  • When the Bayesian optimization data contain missing values, these are removed before fitting the GP model. If all metrics are missing, no GP is fit and the current results are returned. (#432)

  • Moved tune() from tune to hardhat (#442).

  • The parameters() methods for recipe, model_spec, and workflow objects have been soft-deprecated in favor of extract_parameter_set_dials() methods (#428).

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