Changes in version 2024.6.19 (2024-06-20)                

    o   fix ubsan issue by only doing &vec[0] if there is at least one element.

                      Changes in version 2023.6.15                      

    o   if(requireNamespace("penaltyLearning")) in examples.

    o   rm Suggests lattice.

    o   examples for min AUM and max AUC line search.

               Changes in version 2023.6.14 (2023-06-14)                

    o   setDTthreads(1) in aum_linear_model_cv example for CRAN.

                      Changes in version 2023.5.12                      

    o   aum_linear_model/cv defaults to maxIterations="min.aum".

                      Changes in version 2023.4.7                       

    o   aum_line_search now accepts maxIterations="min.aum" or "max.auc".

                Changes in version 2023.4.4 (2023-04-04)                

    o   removed some code to check faster on CRAN.

                      Changes in version 2023.4.3                       

    o   reformat NEWS, for CRAN.

    o   faster examples for aum_linear_model_cv and aum_line_search.

                      Changes in version 2023.3.31                      

    o   Line search C++ code review, exclude speed and line search vignettes from CRAN.

                      Changes in version 2023.2.21                      

    o   aum_diffs_penalty now correctly handles denominator="rate" (previously there could be problems if there are more examples in error table than in pred.name.vec).

                      Changes in version 2023.2.15                      

    o   Ties are now handled correctly in line search. aum_line_search$line_search_result contains new columns intersections and intervals, which are greater than 1 if there are any ties. Also new column q.size contains the number of step sizes in the queue at each iteration.

                      Changes in version 2023.2.3                       

    o   aum_line_search$line_search_result contains new columns aucAtStep and aucAfterStep.

                      Changes in version 2022.12.8                      

    o   bugfix in aum_diffs_penalty(denominator="rate"), which previously incorrectly normalized for each example, but now correctly normalizes based on the total error over all examples.

                      Changes in version 2022.12.7                      

    o   aum_linear_model and aum_linear_model_cv with plot and predict methods.

                      Changes in version 2022.12.1                      

    o   aum_line_search function with plot method.

                Changes in version 2022.2.7 (2022-02-08)                

    o   Add arXiv link to DESCRIPTION, clarify outputs in aum_diffs.

                      Changes in version 2022.2.3                       

    o   Remove un-necessary C++ code, just keep aum_sort and interface.

                      Changes in version 2022.1.27                      

    o   rename test file.

                      Changes in version 2021.9.23                      

    o   aum_sort.cpp: fix read out of bound when err_N=1, use std::sort instead of qsort.

                      Changes in version 2021.3.9                       

    o   vignette comparing logistic regression and other loss functions to aum minimization.

                      Changes in version 2021.3.2                       

    o   Use qsort (standard C) instead of qsort_r (not standard).

                      Changes in version 2021.2.20                      

    o   error checking for min.lambda values input to aum_diffs_penalty.

    o   new aum_sort_interface C++ function (faster), older function renamed to aum_map_interface, separate source and header files.

                      Changes in version 2021.2.16                      

    o   aum supports names for predictions (copied to row names of derivative_mat).

                      Changes in version 2021.2.15                      

    o   more C++ error checking / tests.

    o   vignette comparing speed with penaltyLearning::ROChange.

                      Changes in version 2021.2.14                      

    o   aum_diffs, aum_diffs_binary, aum_diffs_penalty for creating error diffs data frame required for input to aum.

    o   aum_errors for converting aum_diffs to canonical error functions (which start at fp=0 and end at fn=0). plot.aum_diffs uses this to show a default plot of the error functions.

    o   fn.not.zero example data taken from feaure-learning-benchmark.

                      Changes in version 2021.2.12                      

    o   First draft.