textrecipes 0.5.0

New steps

• step_dummy_hash() generates binary indicators (possibly signed) from simple factor or character vectors.

• step_tokenize() has gotten a couple of cousin functions step_tokenize_bpe(), step_tokenize_sentencepiece() and step_tokenize_wordpiece() which wraps {tokenizers.bpe}, {sentencepiece} and {wordpiece} respectively (#147).

Improvements and Other Changes

• Added all_tokenized() and all_tokenized_predictors() to more easily select tokenized columns (#132).

• Use show_tokens() to more easily debug a recipe involving tokenization.

• Reorganize documentation for all recipe step tidy methods (#126).

• Steps now have a dedicated subsection detailing what happens when tidy() is applied. (#163)

• All recipe steps now officially support empty selections to be more aligned with dplyr and other packages that use tidyselect (#141).

• step_ngram() has been given a speed increase to put it in line with other packages performance.

• step_tokenize() will now try to error if vocabulary size is too low when using engine = "tokenizers.bpe" (#119).

• Warning given by step_tokenfilter() when filtering failed to apply now correctly refers to the right argument name (#137).

• step_tf() now returns 0 instead of NaN when there aren't any tokens present (#118).

• step_tokenfilter() now has a new argument filter_fun will takes a function which can be used to filter tokens. (#164)

• tidy.step_stem() now correctly shows if custom stemmer was used.

• Added keep_original_cols argument to step_lda, step_texthash(), step_tf(), step_tfidf(), step_word_embeddings(), step_dummy_hash(), step_sequence_onehot(), and step_textfeatures() (#139).

Breaking Changes

• Steps with prefix argument now creates names according to the pattern prefix_variablename_name/number. (#124)