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superml 0.5.7
- Dropped support for R 3.5 version
- Fixed NOTES occurring due to C++ version and incorrect function documentation
superml 0.5.6
- Removed from cran, republish.
superml 0.5.5
- Fix xgboost float precision error
superml 0.5.4
- Configure github actions
- Fix build issue due to dontrun decorator
- Removed from cran, republish.
superml 0.5.3
- Update bm25 function
- Add functions for dot product, svd, normalise matrix
- Add documentation for rcpp functions
- Fixed bugs.
superml 0.5.2
- Introduce rcpp and rewrite base functions in rcpp to create count/tfidf matrix
- Much faster execution with core rcpp functions.
- Deprecate
parallel
argument, since turned out to be slower than c++.
- Fixed bugs.
superml 0.5.1
- Fix bugs in CountVectorizer & TfidfVectorizer
- Add ngram_range feature
- Add more documentation on vectorizers
superml 0.5.0
- glmnet changed its api. Fix Failing tests. Temporary fix by using “donttest” on its examples. Updates package documentation to support R6 classes.
superml 0.4.0
- Fixed svm error. Replaced liquidSVM with e1071 R package.
superml 0.3.0
- Moved some imports to suggests
superml 0.2.0
- Added new trainers: SVM, NaiveBayes
- Renamed gridsearch, randomsearch trainers to CV
- Fixed documentation
superml 0.1.0
- Added a
NEWS.md
file to track changes to the package.
- Fixed travis-ci integration
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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