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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.
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.