treeheatr 0.2.1 2020-11-19

treeheatr 0.2.1 (2020-11-19) 2020-11-19

  • Default of print_eval is TRUE when data_test is supplied.
  • covid_train and covid_test datasets are pre-processed.
  • add option to show target legend

Bug fixes:

  • requires custom tree to be trained on dataset with dependent variable as factor when task is classification.
  • label_map works again
  • fix mismatching categories in tree vs heatmap

treeheatr 0.2.0 (2020-07-08) Unreleased

Significant changes:

  • data argument is now replaced with x, which can be a dataframe (or tibble), a party (or constparty) object specifying the precomputed tree, or partynode object specifying the customized tree. custom_tree argument is no longer needed.
  • treeheatr() is now an alias for heat_tree()

Others:

  • include the diabetes dataset
  • reduce legend margin
  • remove my_target as column names within functions
  • allow wrapping as.party() around rpart object
  • use ARSA as seriation method for samples
  • swap the position of two arguments: target_lab and data_test
  • allow the user to choose features to show in the heatmap

treeheatr 0.1.0 (2020-06-17) 2020-06-17

ANNOUNCEMENTS

  • treeheatr 0.1.0 - first CRAN release!