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(...)