sperrorest - sperrorest 3.0.5

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• adjust handling of class name in response to R check 'Note'

- R
Published by alexanderbrenning over 3 years ago

sperrorest - sperrorest 3.0.2

• 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)

- R
Published by pat-s about 5 years ago

sperrorest - sperrorest 3.0.0

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.

- R
Published by pat-s about 6 years ago

sperrorest - sperrorest 2.1.5

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).

- R
Published by pat-s about 8 years ago

sperrorest - sperrorest 2.1.4

Minor

• import future_lapply from future.apply instead of future

- R
Published by pat-s over 8 years ago

sperrorest - sperrorest 2.1.3

Minor

• update CITATION file

- R
Published by pat-s over 8 years ago

sperrorest - sperrorest 2.1.2

fake release for zenodo

- R
Published by pat-s over 8 years ago

sperrorest - sperrorest 2.1.1 (15-Oct-2017)

Bugfixes:

• train_fun and test_fun are now handled correctly and eventual sub-sampling is correctly reflected to the resulting 'resampling' object

- R
Published by pat-s over 8 years ago

sperrorest - sperrorest 2.1.0 (26 Sep 2017)

Features:

• error handling during model fitting & performance evaluation: If a model does not converge for some folds or an error occurs during performance calculation, results of this fold are set to NA and a message is printed to the console. sperrorest() will continue normally and uses the successful folds to calculate the repetition error. This helps to run CV with many repetitions using models which do not always converge like maxnet(), gamm() or svm().

Bugfixes:

• Size of example data set ecuador has been adjusted to avoid exact duplicates of partitions when using partition_kmeans().

- R
Published by pat-s over 8 years ago

sperrorest - sperrorest 2.0.1 (20-Jul-2017)

Bugfixes:

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

- R
Published by pat-s almost 9 years ago

sperrorest - sperrorest v2.0.0 (12-Jun-2017)

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.

- R
Published by pat-s almost 9 years ago

sperrorest - sperrorest v1.0.0

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/

- R
Published by pat-s about 9 years ago