NEWS.md

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

monkeylearn 0.2.0

• 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.

monkeylearn 0.1.3

• Better states the dependency on tibble, it is tibble >= 1.2.

• Better handles blank text in input, outputs an empty tibble and a warning if the request is only blank, and a message if only parts of the request are blank.

monkeylearn 0.1.2

• Disables HTTP2 for now because of a bug for Windows users. Fix by Jeroen Ooms.

monkeylearn 0.1.1

• Added a NEWS.md file to track changes to the package.

ropensci/monkeylearn documentation built on May 18, 2022, 5:38 p.m.