Fix logic in predictor() and classifier_xgboost that is realted new xgboost package.
Change from map(fs, future::value) to future::value(fs) in run_models() and run_performance().
compare_plot() that is "using ggmosaic package.".
treatment_corr() that is "All columns in a tibble must be vectors." error.
treatment_corr() that is "All columns in a tibble must be vectors." error.
plan(multiprocess) from logic for parallel processing.
plan(multiprocess) of future is deprecated. (#2, thanks to Henrik Bengtsson)seed = TRUE in future function.run_performance() that is "replacement has length zero" error.
run_predict() is performed with test data that has more variables than train data.run_predict() fixed error when try to predict on dataset without the response variable
run_models(), run_predict(), run_performance() not support future::multiprocess when running R from RStudio.Classification Modeling vignettes for debian linux.compare_category() to compare_target_category().
compare_numeric() to compare_target_numeric().
compare_target_category() modified from is.tibble(), as.tibble() to is_tibble(), as_tibble().compare_diag() modified from is.tibble(), as.tibble() to is_tibble(), as_tibble().sampling_target() modified from as.tbl() to tibble::as_tibble().Cleansing the dataset vignettes.Classification Modeling vignettes.Splitting the dataset vignettes.