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To comply with CRAN policies some breaking changes were required:
Breaking: - Functions that write files no longer default to the
current working directory. The path argument now defaults
to NULL and must be supplied explicitly when file output is
requested. Affected functions are: write_in_out_json,
write_ModelProperties_json,
write_fileMetadata_json, calculateFitStat,
calculateROCStat, calculateLiftStat,
diagnosticsJson, and create_scoreSample. This
may cause errors if a path is not explicitly assigned. These functions
now also return explicitly instead of invisibly. - Codegen
add_target_name default changed to FALSE
(comment: it was confusing and unecessary most of the time)
Changes: - fix: json functions no longer return values invisibly. -
fix: Functions that writes to path requires it defined explictly now -
fix: codegen has been updated with some fixes and quality of life. (The
user should still verify the generated code and files) - fix: The R
scoring code sample and generated codes no loger uses
.GlobalEnv, it relies on R context inheritance to load
models. (comment: it was required to add sasctl to CRAN, it
can still be used if the user wants.) - fix: Updated docs and readme to
use file.path instead of paste0(...) when
referencing system files.
chore: prepare for CRAN release
fix: default connection client
fix: r-universe build
output_as_df
argument, by default the generated scorecode it returns a
data.frame instead of a list. Required for the
MM gateway background.add_target_name. By default a
column with the name of the target will be returned with the predicted
values.FALSE.
As of Viya 2025.6, PMML 4.4 is natively supported by Model Manager.register_model wrongly identifying which version
of Viya it is interacting with, which lead to use the wrong upload
format.file.path instead of
paste in the generated code when referencing file
paths.scr_batch argument to
format_data_json, allowing to have all data in a single
json payload for Viya 2024.7 SCR batch scoring feature.openBrowser using a function instead of the
argument.codegen for Tidy Models workflows guessing the
predictors from the pre processing pipeline instead of the model
workflow recipe.verify_ssl argument to session to be
used in all api calls.openBrowser argument to session to
open the browser automatically when auth_code = TRUE.publish_model exact argumentpublish_model
fails.delete_* functions now return invisible(),
to avoid polluting the terminal.register_model()session to
connect to Viya 2020.xcodegen function in experimental state. Works for
simple lm, glm models and tidymodels workflow
with regression or classification model mode`targetName and targetPredicted
arguments to be named, now it avoids variable positioning errors.NEWS.md file to track changes to the
package.Small bug fixes a quality of life improvements.
refresh_session functionsession(... auth_code = TRUE) to work on
Jupyter Notebook and remove require to add client_secret
parameterbase64enc and dplyr dependencies,
for refresh_token and to make sure furrr
doesn’t fail when called through masScore(...)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.