alookr 0.3.9
MINOR CHANGES
- Fix error in treatment_corr() that is “All columns in a tibble must be vectors.” error.
- (#6, thanks to Cathy Tomson)
alookr 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)
alookr 0.3.7
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 waring 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)
alookr 0.3.6
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)
alookr 0.3.5
BUG FIXES
- Fix error in glmnet when run_predict() is performed with test data that has more variables than train data.
alookr 0.3.4
MAJOR CHANGES
- add xgboosting methodlogy for binary classifier.
- add lasso regression model for binary classifier.
alookr 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.
alookr 0.3.2
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().
alookr 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.