NEWS.md
In trang1618/treeheatr: Heatmap-Integrated Decision Tree Visualizations
treeheatr 0.2.1
treeheatr 0.2.1 (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)
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)
ANNOUNCEMENTS
- treeheatr 0.1.0 - first CRAN release!
trang1618/treeheatr documentation built on July 30, 2023, 1:20 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
treeheatr 0.2.1
treeheatr 0.2.1 (2020-11-19)
- Default of
print_evalis TRUE whendata_testis supplied. covid_trainandcovid_testdatasets 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)
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)
ANNOUNCEMENTS
- treeheatr 0.1.0 - first CRAN release!
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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