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
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