News

mltools 0.3.5

• Added and organize evaluation metrics, mean square error: mse(), mean square logarithmic error: msle(), root mean square error: rmse(), and root mean square logarithmic error: rmsle(). Each metric now includes an option to pass weights and ignore NA values.
• Added unit tests
• Support for multiclass mcc() and user may now provide a confusion matrix as input
• Avoid calling utils::modifyList() on POSIXlt objects

mltools 0.3.4

• Added and organize evaluation metrics, mean square error: mse(), mean square logarithmic error: msle(), root mean square error: rmse(), and root mean square logarithmic error: rmsle(). Each metric now includes an option to pass weights and ignore NA values.
• Added unit tests

mltools 0.3.3

• In date_factor(dateVec, ...) fixed bug in “character string is not in a standard unambiguous format” produced by some date values

mltools 0.3.2

• In folds(x, ...) x can now be a positive integer specifying the number of fold IDs to generate
• In date_factor(dateVec, ...) the argument fullyears has been dropped and replaced by the more flexible pair of arguments minDate and maxDate for determining resulting vector levels. Additionally a bug regarding type=yearquarters has been fixed.
• In bin_data() added some input validation

mltools 0.3.1

• Fixed bug in bin_data() occuring when x is integery type and bins includes Inf or -Inf

mltools 0.3.0

• Fixed bug in date_factor() occuring when type = “yearquarter” and fullyears = FALSE
• Fixed bugs involving unsorted or duplicate ubounds in empirical_cdf()

mltools 0.2.0

• Added date_factor() for converting dates to a grouped ordered factor (e.g. months, yearmonths, yearquarters, etc.)
• Implemented stratification for numeric x in folds(x, stratified=TRUE, ...)

mltools 0.1.0

Initial Release