New features include: 1-class SVM for novelty detection, class weights for SVM, prediction metrics, sessionization, pivoting, overlapping patterns in the path function, and support for PostgreSQL 9.5 and 9.6.
New features include: path functions, support vector machines including non-linear kernels, matrix operations (phase 2), covariance matrix, proportion of variance for PCA, stemmer function, and support for Apache HAWQ 2.0 (incubating).
The purpose of the release was to clear all potential IP issues in the code base and make it legally ready to be adopted by the community. In addition, we want to share the new features that have been developed, in order to give the community a good sense of the upcoming 1.9 release.
The MADlib 1.9 release will be coming out shortly, based closely on the 1.9 alpha with a few "last mile" updates and additions.
Apache Software Foundation is a widely recognized place for like-minded developers to collaborate on software in open and productive ways. MADlib community views it as the ideal venue to continue developing MADlib technology in innovative directions. Please refer to the ASF incubator proposal for more details.
We invite anyone to come collaborate on the codebase. Both software contributions and non-code contributions (documentation, events, community management, etc.) are valued.We enthusiastically look forward to working together with all future contributors to MADlib in order to advance the state-of-the-art of scale-out data science tools.
Downloads for Apache MADlib (incubating) releases. This also includes links to pre-Apache MADlib releases.