posted 1 project.
A Content Anomaly Detector based on n-Grams
After a full year of development we proudly present you several new features, plenty of bug fixes and better performance :)
It now is possible to process data on bit granularity
salad [train|inspect] --binary
Performance improvements while simultaneously preserving
and further advancing readability of the source code.
Suppress the verbose output of Salad
salad [train|predict] -q
Extend the (unit) testing framework to support test of the
overall application and memchecks using valgrind.
Testing mode was renamed: salad dbg -> salad test
Allow to select either client or server-side data when
processing network communication.
A library encapsulating advanced data structures such
as bloom filters.
Fixes for a critical bug when using group input and several
An optionally compressed, text-based model file format
salad train -F (txt|archive)
The default hashset ('simple2') makes use of djb2 hash
Flawless builds using gcc, mingw and clang