Publication date
August 2021
DOIAbstract
added unit testing for ~50% tested coverage merged branched model, zero-shot descriptors fixed minor bug
added unit testing for ~50% tested coverage merged branched model, zero-shot descriptors fixed minor bug
Changes new AMBER test files for invalid inputs reorganized AMBER test files This is release candi...
bug fixes added stratify and group support for train-test split Added more model support Optimize...
fix a bug in histmodifier that would not properly take into account the yield of the wrapped PD
Added unit tests to 68% test coverage Add amber.AmberSpecifications for easier run configuration Fix...
add initial pytorch supernet for conv1d add initial pytorch-lightning single model trainer refactore...
Added command-line interface amber-cli for switching backends and for placeholder for future CLI acc...
Bug fix for the calculation of model overall likelihood Bug fix for identifying distinguishing varia...
Bug fix: p-values are correctly added to the nested coefficients tibble. Adds tests of this table as...
Initial backend migration to PyTorch: amber.backend Testing coverage for TF1/Keras backend reaching ...
Minor improvements and bugfixes including: improved importance sampling allowing to preinstantiate ...
Update Log Thanks to report from @charlisech, we were able to pinpoint a bug related to sample sele...
Fix a bug in np_hesse, last release before 0.5.0 Has some known bugs though, especially in the cachi...
First working version, handles diploidy (+1 low coverage contaminant peaks). Zenod
This is a release just prior to v1.0 to allow for additional testing for minor bug fixes and other a...
fix a bug in histmodifier that would not properly take into account the yield of the wrapped PD
Changes new AMBER test files for invalid inputs reorganized AMBER test files This is release candi...
bug fixes added stratify and group support for train-test split Added more model support Optimize...
fix a bug in histmodifier that would not properly take into account the yield of the wrapped PD
Added unit tests to 68% test coverage Add amber.AmberSpecifications for easier run configuration Fix...
add initial pytorch supernet for conv1d add initial pytorch-lightning single model trainer refactore...
Added command-line interface amber-cli for switching backends and for placeholder for future CLI acc...
Bug fix for the calculation of model overall likelihood Bug fix for identifying distinguishing varia...
Bug fix: p-values are correctly added to the nested coefficients tibble. Adds tests of this table as...
Initial backend migration to PyTorch: amber.backend Testing coverage for TF1/Keras backend reaching ...
Minor improvements and bugfixes including: improved importance sampling allowing to preinstantiate ...
Update Log Thanks to report from @charlisech, we were able to pinpoint a bug related to sample sele...
Fix a bug in np_hesse, last release before 0.5.0 Has some known bugs though, especially in the cachi...
First working version, handles diploidy (+1 low coverage contaminant peaks). Zenod
This is a release just prior to v1.0 to allow for additional testing for minor bug fixes and other a...
fix a bug in histmodifier that would not properly take into account the yield of the wrapped PD
Changes new AMBER test files for invalid inputs reorganized AMBER test files This is release candi...
bug fixes added stratify and group support for train-test split Added more model support Optimize...
fix a bug in histmodifier that would not properly take into account the yield of the wrapped PD
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