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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
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.