bake was changed from all_predictors() to everything().verbose option for prep is now defaulted to FALSEstep_dummy was fixed that makes sure that the correct binary variables are generated despite the levels or values of the incoming factor. Also, step_dummy now requires factor inputs.step_dummy also has a new default naming function that works better for factors. However, there is an extra argument (ordinal) now to the functions that can be passed to step_dummy.step_interact now allows for selectors (e.g. all_predictors() or starts_with("prefix") to be used in the interaction formula.step_YeoJohnson gained an na.rm option.dplyr::one_of was added to the list of selectors.step_bs adds B-spline basis functions.step_unorder converts ordered factors to unordered factors.step_count counts the number of instances that a pattern exists in a string.step_string2factor and step_factor2string can be used to move between encodings.step_lowerimpute is for numeric data where the values cannot be measured below a specific value. For these cases, random uniform values are used for the truncated values.step_zv).tidy methods were added for recipes and many (but not all) steps.bake.recipe, the argument newdata is now without a default.bake and juice can now save the final processed data set in sparse format. Note that, as the steps are processed, a non-sparse data frame is used to store the results.First CRAN release.
prepare to prep per issue #59learn has become prepare and process has become bakeNew steps:
step_lincomb removes variables involved in linear combinations to resolve them.step_bin2factor)step_regex applies a regular expression to a character or factor vector to create dummy variables.Other changes:
step_dummy and step_interact do a better job of respecting missing values in the data set.recipe objects was changed so that pipes can be used to create the recipe with a formula.process.recipe lost the role argument in factor of a general set of selectors. If no selector is used, all the predictors are returned.