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NEWS.md

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+# SmartML 0.3.0
+
+## Features
+
+* Added Ranger, XGBoost, fastNaiveBayes and LiblineaR high performing algorithms
+* Added the autoRLearn_ function, which assumes that the data is in perfect shape and can be loaded from a dataframe, unlike autoRLearn which can only load from a data file outside R.
+* Added Hyperband and Bayesian Optimization Hyperband to the new autoRLearn_
+* Added some extra temporary dependencies which will be removed in the following months (all tidyverse packages other than purrr)
+* Fixed some small mistakes in the code and jsons
+
+## Current Roadmap
+
+* fix metalearning, at the moment it doesn't work. There's something wrong with the AWS server we are using.
+* change the dplyr back end to use data.table with dtplyr
+* merge autoRLearn and autoRLearn_ into a single function, which can both load from a data file and in R.
+* Rewrite SMAC, as requested by Sherif.
+
+## Extra info
+
+* brurucy is a new and active maintainer
+* Nightly and experimental versions, independent from the Data Systems Lab, are being developed at https://github.com/brurucy/witchcraft
+* Updates will be conservative and focused on non-breaking changes, up to release 1.0.