print_eval is TRUE when
data_test is supplied.covid_train and covid_test datasets are
pre-processed.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