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@topepo topepo released this 19 Feb 14:18
v0.2.0
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New Steps

  • step_nnmf_sparse() uses a different implementation of non-negative matrix factorization that is much faster and enables regularized estimation. (#790)

  • step_dummy_extract() creates multiple variables from a character variable by extracting elements using regular expressions and counting those elements.

  • step_filter_missing() can filter columns based on proportion of missingness (#270).

  • step_percentile() replaces the value of a variable with its percentile from the training set. (#765)

Improvements and Other Changes

  • All recipe steps now officially support empty selections to be more aligned with dplyr and other packages that use tidyselect (#603, #531). For example, if a previous step removed all of the columns need for a later step, the recipe does not fail when it is estimated (with the exception of step_mutate()). The documentation in ?selections has been updated with advice for writing selectors when filtering steps are used. (#813)

  • Fixed bug in step_harmonic() printing and changed defaults to role = "predictor" and keep_original_cols = FALSE (#822).

  • Improved the efficiency of computations for the Box-Cox transformation (#820).

  • When a feature extraction step (e.g., step_pca(), step_ica(), etc.) has zero components specified, the tidy() method now lists the selected columns in the terms column.

  • Deprecation has started for step_nnmf() in favor of step_nnmf_sparse(). (#790)

  • Steps now have a dedicated subsection detailing what happens when tidy() is applied. (#876)

  • step_ica() now runs fastICA() using a specific set of random numbers so that initialization is reproducible.

  • tidy.recipe() now returns a zero row tibble instead of an error when applied to a empty recipe. (#867)

  • step_zv() now has a group argument. The same filter is applied but looks for zero-variance within 1 or more columns that define groups. (#711)

  • detect_step() is no longer restricted to steps created in recipes (#869).

  • New extract_parameter_set_dials() and extract_parameter_dials() methods to extract parameter sets and single parameters from recipe objects.

  • step_other() now allow for setting threshold = 0 which will result in no othering. (#904)

Breaking Changes

  • step_ica() now indirectly uses the fastICA package since that package has increased their R version requirement. Recipe objects from previous versions will error when applied to new data. (#823)

  • step_kpca*() now directly use the kernlab package. Recipe objects from previous versions will error when applied to new data.

Developer

  • The print methods have been internally changes to use print_step() instead of printer(). This is done for a smoother transition to use cli in the next version. (#871)
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