Changes in version 0.5.0 (2026-01-08)                  

MINOR CHANGES

  - Fix logic in predictor() and classifier_xgboost that is realted new
    xgboost package.
    
      - (#10)

  - Change from map(fs, future::value) to future::value(fs) in
    run_models() and run_performance().
    
      - (thanks to Henrik Bengtsson, #11)

                 Changes in version 0.4.0 (2025-09-16)                  

MINOR CHANGES

  - Fix logic in compare_plot() that is "using ggmosaic package.".
      - (#9)

                 Changes in version 0.3.91 (2025-08-24)                 

MINOR CHANGES

  - fixed Rd file(s) with Rd \link{} targets missing package #8
      - cleanse.data.frame.Rd: tbl_df
      - split_by.data.frame.Rd: tbl_df
      - treatment_corr.Rd: tbl_df

                 Changes in version 0.3.9 (2024-02-11)                  

MINOR CHANGES

  - Fix error in treatment_corr() that is "All columns in a tibble must
    be vectors." error.
      - (#6, thanks to Cathy Tomson)

                        Changes in version 0.3.8                        

BUG FIXES

  - Fix error in treatment_corr() that is "All columns in a tibble must
    be vectors." error.
      - (#6, thanks to Cathy Tomson)

                 Changes in version 0.3.7 (2022-06-12)                  

MAJOR CHANGES

  - Removed plan(multiprocess) from logic for parallel processing.
      - Because, plan(multiprocess) of future is deprecated. (#2, thanks
        to Henrik Bengtsson)

MINOR CHANGES

  - Remove the warning of "UNRELIABLE VALUE" with seed = TRUE in future
    function.

BUG FIXES

  - Fix error in run_performance() that is "replacement has length zero"
    error.
      - (#5, thanks to Muhammad Fawad)

                 Changes in version 0.3.6 (2022-05-25)                  

MINOR CHANGES

  - Implemented a function to replace the unbalanced package used in the
    process of performing split data.
      - This is because unbalanced packages have been removed from CRAN.
        (#3)

                 Changes in version 0.3.5 (2021-12-01)                  

BUG FIXES

  - Fix error in glmnet when run_predict() is performed with test data
    that has more variables than train data.

                 Changes in version 0.3.4 (2021-02-22)                  

MAJOR CHANGES

  - add xgboosting methodlogy for binary classifier.
  - add lasso regression model for binary classifier.

                        Changes in version 0.3.3                        

BUG FIXES

  - run_predict() fixed error when try to predict on dataset without the
    response variable
      - (thanks @shivakhanal, #1).

MINOR CHANGES

  - run_models(), run_predict(), run_performance() not support
    future::multiprocess when running R from RStudio.

                 Changes in version 0.3.2 (2020-06-07)                  

BUG FIXES

  - Fixed explanation errors in Classification Modeling vignettes for
    debian linux.

MINOR CHANGES

  - Renamed compare_category() to compare_target_category().
      - This is because it overlaps the function name of the dlookr
        package.
  - Renamed compare_numeric() to compare_target_numeric().
      - This is because it overlaps the function name of the dlookr
        package.
  - 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().

                        Changes in version 0.3.1                        

BUG FIXES

  - Fixed explanation errors in Cleansing the dataset vignettes.
  - Fixed explanation errors in Classification Modeling vignettes.
  - Modified explanation errors in Splitting the dataset vignettes.