Changes in version 0.3.6                        

  - Added drop = FALSE parameter where needed inside sparsify() to force
    inputted data.table with 1 row to be returned as a sparse matrix
  - Fixed bug where sparsify(dt, sparsifyNAs = FALSE) would error if dt
    had a factor column of all NAs (sometimes)
  - Added parameters sparsifyCols and memEfficient to sparsify().
    sparsifyCols let's the user choose a subset of the inputted table's
    columns to be sparsified and memEfficient = TRUE will run a new,
    memory efficient version of sparsify().
  - Added parameter alpha to rmsle() and msle() functions to specify a
    custom offset instead of the deault (1).
  - Added parameter roundbins to bin_data() to allow bin values to be
    rounded to a specified decimal place
  - Fixed bug in empirical_cdf() which occurred when a boundary exactly
    matched multiple target records

                 Changes in version 0.3.5 (2018-05-12)                  

  - 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

                 Changes in version 0.3.4 (2017-12-05)                  

  - 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

                 Changes in version 0.3.3 (2017-09-12)                  

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

                 Changes in version 0.3.2 (2017-08-28)                  

  - 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

                 Changes in version 0.3.1 (2017-07-10)                  

  - Fixed bug in bin_data() occurring when x is integer type and bins
    includes Inf or -Inf

                 Changes in version 0.3.0 (2017-06-28)                  

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

                 Changes in version 0.2.0 (2017-01-03)                  

  - 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, ...)

                 Changes in version 0.1.0 (2016-11-27)                  

Initial Release