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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

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.
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