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@topepo topepo released this 24 Nov 18:25
v0.1.5
1095364
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Learn about vigilant mode.

  • Re-licensed package from GPL-2 to MIT. See consent from copyright holders here.

  • The tunable parameter ranges for step_umap() were changed for neighbors, num_comp, and min_dist to prevent uwot segmentation faults. The step also check to see if the data dimensions are consistent with the argument values.

  • Two new PCA steps were added, each using sparse techniques for estimation: step_pca_sparse() and step_pca_sparse_bayes().

  • Updated to use recipes_eval_select() from recipes 0.1.17 (#85).

  • Added prefix argument to step_umap() to harmonize with other recipes steps (#93).

  • All embed recipe steps now officially support empty selections to be more aligned with recipes, dplyr and other packages that use tidyselect.

  • step_woe() no longer warns about high-cardinality predictors when the recipe is estimated. Instead it warns when categories have fewer than 10 data points in the training set. (#74)

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