Version 0.5
Pre-release
Pre-release
ChangeLog update
- may read TFRecords (as well as CSV) files
- added example for MNIST optimization
- input pipelines now depend on tf.Dataset framework. Either in-memory for
smaller datasets or file - priors have been added for BAOAB and HMC
- version now always gives a git hash (of the commit)
- Python API can feed its own in-memory dataset for sampling or optimization
sha1: 2fb81ff09fb1ca6f2181fd349953589b22fc289d datadrivensampler-0.5.tar.bz2