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Releases: giscience-fsu/sperrorest

sperrorest 3.0.5

12 Oct 16:45
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  • adjust handling of class name in response to R check 'Note'

sperrorest 3.0.2

19 Apr 12:42
822f764
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  • partition_disc(): set default value of arg buffer to 0 instead of NULL, fixes #61
  • partition_loo(): Sequence along observations instead of columns.
    Before, the train set was only composed of ncol observation. (#60)

sperrorest 3.0.0

17 Apr 07:09
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Breaking

  • All parallel modes got removed in favor of using parallelism via package {future}.
    This simplifies usage a lot and helps simplyifing future maintenance.
    Also it gives users the freedom to choose the parallel backend on their own.
  • sperrorest() run sequentially by default again rather than in parallel.

Package infrastructure

  • Removed the following packages from Imports: {glue}, {purrr}, {doFuture}, {gdata}, {magrittr}, {parallel}, {pbapply}, {pbmcapply}, {foreach}
  • Moved the following packages from Imports to Suggests: {rpart}
  • Removed the following packages from Suggests: {pacman}, {ipred}, {RSAGA}
  • The "spatial-use-case" vignette now runs and is not read-only anymore.

sperrorest 2.1.5

28 Mar 15:08
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Bugfixes

  • Updated error message displayed to the user if err_fun() throws an error during performance calculation.
    An exemplary case would be a binary classification in which only one level of the response exists in the test data (due to spatial partitioning).

sperrorest 2.1.4

13 Feb 22:06
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Minor

  • import future_lapply from future.apply instead of future

sperrorest 2.1.3

07 Dec 10:54
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Minor

  • update CITATION file

sperrorest 2.1.2

07 Dec 10:50
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fake release for zenodo

sperrorest 2.0.1 (20-Jul-2017)

21 Jul 08:47
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Bugfixes:

  • Fixes a bug which caused equal importance of all predictors when performing permutation-based variable importance assessment

sperrorest v2.0.0 (12-Jun-2017)

13 Jun 19:28
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Major:

  • integration of parsperrorest() into sperrorest().
  • by default, sperrorest() now runs in parallel using all available cores.
  • runfolds() and runreps() are now doing the heavy lifting in the background. All modes are now running on the same code base. Before, all parallel modes were running on different code implementations.
  • function and argument name changes to 'snake_case'

Features:

  • new (parallel) modes:
    • apply: calls pbmclapply() on Unix and pbapply() on Windows.
    • future: calls future_lapply() with various future options (multiprocess, multicore, etc.).
    • foreach: foreach() with various future options (multiprocess, multicore, etc.). Default option to cluster. This is also the overall default mode for sperrorest().
    • sequential: sequential execution using future backend.
  • RMSE instead of MSE as error measure
  • You can now pass also single values to repetition argument of sperrorest(). Specifying a range like repetition = 1:10 will also stay valid.
  • New vignette sperrorest::parallel-modes comparing the various parallel modes.
  • New vignette sperrorest::custom-pred-and-model-functions explaining why and how custom defined model and predict functions are needed for some model setups.

Misc:

  • Limit workers to number of repetitions if number of cores > number of repetitions. This ensures that no unnecessary workers are started and increases robustness of parallel execuction.
  • documentation improvements.
  • do_try argument has been removed.
  • error.fold, error.rep and err.train arguments have been removed because they are all calculated by default now.

Bugfixes:

  • partial matching of arguments
  • account for factor levels only present in test data but missing in training data. Previously, sperrorest errored during the predict step when this case occured. Now, this is accounted for and an informative message is given.

sperrorest v1.0.0

08 Mar 18:20
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New features:

  • add parsperrorest(): This function lets you exexute sperrorest() in parallel. It includes two modes (par.mode = 1 and par.mode = 2) which use different parallelization approaches in the background. See ?parsperrorest() for more details.

  • add partition.factor.cv(): This resampling method enables partitioning based
    on a given factor variable. This can be used, for example, to resample
    agricultural data, that is grouped by fields, at the agricultural field level
    in order to preserve spatial autocorrelation within fields.

  • sperrorest() and parsperrorest(): Add benchmark item to returned object giving information about execution time, used cores and other system details.

Changes to functions:

  • sperrorest(): Change argument naming. err.unpooled is now error.fold and err.pooled is now error.rep

  • sperrorest() and parsperrorest(): Change order and naming of returned object

    • class sperrorestpoolederror is now sperrorestreperror
    • returned sperrorest list is now ordered as follows:
      1. error.rep
      2. error.fold
      3. importance
      4. benchmarks
      5. package.version

Package related:

  • add package NEWS

  • add package vignette -> vignette("sperrorest-vignette", package = "sperrorest")

  • package is now ByteCompiled

  • Github repo of sperrorest now at
    https://github.com/pat-s/sperrorest/