Changelog • treeheatr

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

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

ANNOUNCEMENTS

treeheatr 0.1.0 - first CRAN release!