cran-comments.md

In ropenscilabs/monkeylearn: Accesses the Monkeylearn API for Text Classifiers and Extractors

Test environments

• local x86_64-w64-mingw32/x64 install, R 3.3.1
• Ubuntu 12.04 (on Travis CI), R devel, release and oldrel
• Windows on Appveyor CI (stable, patched and oldrel)

R CMD check results

0 errors | 0 warnings | 0 note

Release summary

• New functions monkey_classify() and monkey_extract() that:

  • Accept as input both a vector and a dataframe and named column
  • Always return a tibble explicitly relating each input to its classification, allowing for the removal of the MD5 hash
  • Have an unnest flag to unnest the output (turn 1 row per input into 1 row per output)
  • Have a .keep_all flag to retain other columns if input is a dataframe
  • Coerce NULL values and empty vectors returned from MonkeyLearn to NAs
  • Include inputs that could not be processed as NAs in the output
  • Message the first 20 indices of inputs that are not sent to the API (these now include NA and NULL values as well as empty strings)
  • Message the currently processing batch

• Bug fixes and improvements to monkeylearn_classify() and monkeylearn_extract()

  • monkeylearn_classify() can now accept params
  • Fix to messaging when unable to connect to MonkeyLearn API
  • Default texts per request is set to 200 now (the recommended number), rather than 20
  • Addition of message suggesting that users switch to newer functions

• Implementation of ratelimitr. Creation and documentation of two environment variables allowing smarter rate handling when querying the MonkeyLearn API.

• Creation of pkgdown website

• Programmatic test coverage to re-use common tests for multiple circumstances.

• Use of a cowsay monkey when verbose=TRUE.

ropenscilabs/monkeylearn documentation built on May 18, 2022, 7:40 p.m.