Releases: aldro61/kover
Releases · aldro61/kover
2.0.7 - Mongoose Tiger
2.0.6 - Tiger Butterfly
Bug fixes
Fixes issue #54:
- A minor bug that caused the first absence(kmer) rule's utility to not be computed correctly.
- An issue that caused the SCM code to crash when the learned model was empty (due to no rule being predictive).
2.0.3 - Squirrel Monkey
New features
- Fixed installation issues for DSK which prevented dataset creation from FASTA and FASTQ files.
- Minor code cleanup
2.0.1 - Elephant Vulture
New features
- Fixed some problems with the installer
- Dockerfile that installs Kover
- Docker image with Kover preinstalled (https://hub.docker.com/r/aldro61/kover)
- DockerHub automatic building of releases
- Minor documentation updates
2.0.0 - Seal Hamster
This is the official release of Kover 2.0.0.
New features
- Decision tree learning with the Classification and Regression Trees algorithm (Breiman et al., 1984).
- Multi-class classification for categorical phenotypes with more than two states
2.0.0 - Seal Hamster (Beta)
New features
- Decision tree learning with the Classification and Regression Trees algorithm (Breiman et al., 1984).
- Multi-class classification for categorical phenotypes with more than two states
Notes
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This is a beta release.
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The Kover 2 code has now been merged into the master branch and the documentation has been updated.
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The implementation has been extensively tested, but errors may still occur. Please report any runtime errors to the developers.
2.0.0 - Seal Hamster (Alpha)
New features
- Decision tree learning with the Classification and Regression Trees algorithm (Breiman et al., 1984).
- Multi-class classification for categorical phenotypes with more than two states
Pre-release
This is a pre-release. The production-ready version will be released once it has been merged with Master.
1.3.2 - Crocodile Hippopotamus
Bug fix
Fixed a bug that caused the backend to crash when using bound selection.
1.3.1 - Porcupine Duck
Change log
- Speed up the parsing of k-mer blacklists
- Fixed a bug in the scoring of rules that occurred when using a k-mer blacklist
1.3.0 - Lizard Zebra
New features
k-mer blacklisting
- Define a list of k-mers that are not to be selected by the learning algorithm
- Supported formats: fasta, text file with one k-mer per line