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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.