Changelog for strusvector-devel-0.15.7.4-sles12.2.2.x86_64.rpm :
Thu Mar 15 13:00:00 2018 Patrick Frey 0.15.7-0.1
- added make target cppcheck for static code analysis
- adapted changes in error handling defined in strus base: simplified error codes
- fixed some smaller build isssues

Mon Feb 12 13:00:00 2018 Patrick Frey 0.15.6-0.1
- added some functions for introspection needed by the webservice
- adapted error handling to changes in base: mandatory error codes everywhere

Fri Dec 29 13:00:00 2017 Patrick Frey 0.15.5-0.1
- fixed several build issues: Build with Clang, Fix bugs in travis build

Mon Dec 4 13:00:00 2017 Patrick Frey 0.15.4-0.1
- CMake build fixes
- added -Wshadow for C++ build

Fri Oct 13 14:00:00 2017 Patrick Frey 0.15.3-0.1
- RPath fixes and some CMake file reorganization

Wed Sep 27 14:00:00 2017 Patrick Frey 0.15.2-0.1
- bring up travis build, some minor fixes

Mon Sep 4 14:00:00 2017 Patrick Frey 0.15.1-0.1
- release to cleanup mess with missing CHANGELOG in 0.15.0

Sun Sep 3 14:00:00 2017 Patrick Frey 0.15.0-0.1
- strenghten rules for printf style functions in the interface: issue warnings on wrong format string parameter lists for gcc
- remove hardcoded setting of C++98 in CMake files
- many CMake build fixes
- added method close() to vector storage client
- fixed bug in vector storage transaction: class names were not written
- fixed bug in vector storage transaction: wrong use of std::merge

Wed Feb 15 13:00:00 2017 Patrick Frey 0.14.0-0.1
- adapt interface changes in strus core

Mon Feb 6 13:00:00 2017 Patrick Frey 0.13.0-0.1
- adapt interface changes in strus core
- simplify interfaces
- many build fixes
- added program strusPageRank that can be build with cmake option -DWITH_PAGERANK=\"YES\"

Sat Oct 1 14:00:00 2016 Patrick Frey 0.12.0-0.1
- moved interfaces to strus core (only implementation in this project)

Thu Sep 29 14:00:00 2016 Patrick Frey 0.11.0-0.1
- initial revision
- integrated the armadillo library for fast linear algebra operations
- define vector space model interface and implement standard vector space model for unsupervised learning of features from vectors