Build: Release notes for v1.7
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Current list of bugs and issues can be found at http://jira.madlib.net.
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+MADlib v1.7
+
+Release Date: 2014-December-31
+
+New features:
+* Generalized Linear Model:
+ - Added a new generic module for GLM functions that allow for response
+ variables that have arbitrary distributions (rather than simply
+ Gaussian distributions), and for an arbitrary function of the response
+ variable (the link function) to vary linearly with the predicted values
+ (rather than assuming that the response itself must vary linearly).
+ - Available distribution families: gaussian (link functions: identity,
+ inverse and log), binomial (link functions: probit and logit),
+ poisson (link functions: log, identity and square-root), gamma (link
+ functions: inverse, identity and log) and inverse gaussian (link functions:
+ square-inverse, inverse, identity and log).
+ - Deprecated 'mlogregr_train' in favor of 'multinom' available as part of
+ the new GLM functionality.
+ - Added a new 'ordinal' function for ordered logit and probit regression.
+* Decision Tree: Reimplemented the decision tree module which includes following
+changes:
+ - Improved usability due to a new interface.
+ - Performance enhancements upto 40 times faster than the old interface.
+ - Additional features like pruning methods, surrogate variables for
+ NULL handling, cross validation, and various new tree tuning parameters.
+ - Addition of a new display function to visualize the trained tree and new
+ prediction function for scoring of new datasets.
+* Random Forest: Reimplemented the random forest module which includes following
+changes:
+ - New random forest module based on the new decision tree module.
+ - Better variable importance metrics and ability to explore each tree
+ in the forest independently.
+ - Ability to get class probabilities of all classes and not just the max
+ class during prediction.
+ - Improved visualization with export capabilities using Graphviz dot format.
+* PMML:
+ - Upgraded compatible PMML version to 4.1.
+ - Moved PMML export out of early stage development with new functionality
+ available to export GLM, decision tree, and random forest models.
+* Updated Eigen from 3.1.2 to 3.2.2.
+* Updated PyXB from 1.2.3 to 1.2.4.
+* Added finer granularity control for running specific install-check tests.
+
+Bug fixes:
+- Fixed bug in K-means allowing use of user-defined metric functions
+ (MADLIB-874, MADLIB-875).
+- Fixed issues related to header files included in the build system
+ (MADLIB-855, MADLIB-879, MADLIB-884).
+
+Known issues:
+- Performance for decision tree with cross-validation is poor on a HAWQ
+multi-node system.
+
+--------------------------------------------------------------------------------
MADlib v1.6
Release Date: 2014-June-30
