This version is a experimental section to try various features and interfaces of Flex.
We mainly focused to build flex-chain in this version. The flex-chain computes Bayesian neural network (a.k.a. probabilistic deep learning) at high speed for the data stream.
- Change the name of the project from Flip to Flex
2018-07-26
We mainly use computation resources flexibly by operating deepUpdate selectively. At this time, the algorithm measures the statistical distance between the recent data stream and the the estimated PDF. This method improves throughput up to 4 times.
2018-03-26
We refine its usabilities and inner workings. Especially, the functions of Dist including Sketch doesn't consider the empty structure anuymore. Thus, many functions do not return options, making them easier to use.
- Many functions of
Distdoesn't returnOption#1 #3 - Implement
samplefor Sketch #25 - Support for-comprehension #26
- Fix minor bugs #16 #17 #20
2018-02-18
In this version, we have implemented the basic functionality of the Sketch algorithm. Sketch summarize real-valued random variable stream in order to estimate its probability density in a quick way, and to store and retrieve it only using the sublinear space.