1.5.0 This update is not backwards compatible. A configuration file update is nescessary. New features Benchmark module is live with possibility to compare results to an expected sample composition. The benchmark module will output the comparison results and several useful metrics in an HTML report. It can be used directly for validation or parameter space exploration. Non backward compatible changes Added the benchmarking module which can be called with snakemake benchmark Added required parameters in the config file The python wrapper is now deprecated. See the documentation on how to use configuration files. Dependencies Added a dependency to Scikit-learn Updated R packages dependency in the rmarkdown environment Documentation A...
Updates README.md to reflect publication; clarify differences in material; reflect availability on e...
ClimateBench is a benchmark dataset for climate model emulation inspired by WeatherBench. It consist...
This release fixes a small number of bugs, adds new measure of model fit, and provides some essentia...
This update is not backwards compatible. A configuration file update is nescessary. New features Add...
Bug fix Moved the benchmark module form a rule to a workflow. THis allows to ignore the benchmark a...
1.5.1 Bug fix Added missing parameters to meat config file Fix dtype parsing in confusion matrix ca...
Bug fix Added missing pandas dependency in taxidTools environment Moved log directive to top of pyt...
1.6.4 Benchmarking paper for 16S Metabarcoding of meat products is online: Denay, G.; Preckel, L.; P...
What's Changed FitBenchmarking v0.2.0 is the result of 10 months of work, and we've introduced a lot...
Bug fix Fixed handling of last common node calculation in confusion matrix where last common anceso...
This archive contains: directory benchmarks (cf. benchmarks/README.md): contains the benchmark ...
This release contains the version of the code used to generate the benchmark datasets in https://www...
Bug fix Fixed header in consensus-table.tsv Fixed a bash synthax misuse in the calculation of VSear...
This vignette presents benchmark testing of the implementation of various methods in the package aga...
Current release This is primarily a bugfix/maintenance release, that adds Python 3.10 and the latest...
Updates README.md to reflect publication; clarify differences in material; reflect availability on e...
ClimateBench is a benchmark dataset for climate model emulation inspired by WeatherBench. It consist...
This release fixes a small number of bugs, adds new measure of model fit, and provides some essentia...
This update is not backwards compatible. A configuration file update is nescessary. New features Add...
Bug fix Moved the benchmark module form a rule to a workflow. THis allows to ignore the benchmark a...
1.5.1 Bug fix Added missing parameters to meat config file Fix dtype parsing in confusion matrix ca...
Bug fix Added missing pandas dependency in taxidTools environment Moved log directive to top of pyt...
1.6.4 Benchmarking paper for 16S Metabarcoding of meat products is online: Denay, G.; Preckel, L.; P...
What's Changed FitBenchmarking v0.2.0 is the result of 10 months of work, and we've introduced a lot...
Bug fix Fixed handling of last common node calculation in confusion matrix where last common anceso...
This archive contains: directory benchmarks (cf. benchmarks/README.md): contains the benchmark ...
This release contains the version of the code used to generate the benchmark datasets in https://www...
Bug fix Fixed header in consensus-table.tsv Fixed a bash synthax misuse in the calculation of VSear...
This vignette presents benchmark testing of the implementation of various methods in the package aga...
Current release This is primarily a bugfix/maintenance release, that adds Python 3.10 and the latest...
Updates README.md to reflect publication; clarify differences in material; reflect availability on e...
ClimateBench is a benchmark dataset for climate model emulation inspired by WeatherBench. It consist...
This release fixes a small number of bugs, adds new measure of model fit, and provides some essentia...