Skip to content

Releases: stripe/rainier

Release list

0.3.5

0.3.5 Latest
Latest

Choose a tag to compare

View all tags
@avibryant avibryant released this 18 Oct 17:16
v0.3.5
92695bf 
v0.3.5

version 0.3.5
Assets 2
Loading

0.3.2

0.3.2

Choose a tag to compare

View all tags
@avibryant avibryant released this 23 Mar 17:39
v0.3.2
6e45737

This release adds support for diagonal and dense mass matrices, including adaptive tuning, and expands the sampler config API to include these.

It also adds hooks for displaying progress during sampling, and a basic progress display for Jupyter notebooks.

Loading

0.3.0

0.3.0

Choose a tag to compare

View all tags
@avibryant avibryant released this 09 Feb 17:30
v0.3.0
0ec0a29

This is a complete overhaul of the API and of some parts of the implementation.

Most notably:

  • RandomVariable has been removed
  • Predictor has been replaced by a much more general Vec
  • the various fit methods on those two have been replaced by Model.observe
  • constants in the compute graph can now be vectors as well as scalars

See https://rainier.fit for more complete documentation of the new API.

Loading

0.2.3

0.2.3

Choose a tag to compare

View all tags
@avibryant avibryant released this 23 Dec 20:58
0.2.3
0fba770
This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
GPG key ID: 4AEE18F83AFDEB23
Expired
Verified
Learn about vigilant mode. 
Release 0.2.3 (#398)

* Setting version to 0.2.3

* update for 0.23 release
Loading

0.2.2

0.2.2

Choose a tag to compare

View all tags
@avibryant avibryant released this 06 Mar 06:06
v0.2.2
6751d8e
  • Fixes bugs in auto-differentiation (thanks to @arthur-bit-monnot )
  • introduces trig functions on Real (ditto)
  • adds basic https://almond.sh/ jupyter kernel integration to rainier-plot (see Example.ipynb)
Loading

0.2.1

0.2.1

Choose a tag to compare

View all tags
@avi-stripe avi-stripe released this 10 Feb 23:18
v0.2.1
4290a7c
This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
GPG key ID: 4AEE18F83AFDEB23
Expired
Verified
Learn about vigilant mode.

This is a bug fix release for 0.2.0, but since I didn't write up release notes for that one I'll include them here.

This includes:

  • deterministic evaluation, to simplify unit testing and reproducing bugs
  • unit tests use simulation-based calibration for validating correctness
  • better discrete distribution support, such as DiscreteConstant and DiscreteMixture (thanks to @DavidRdgz)
  • detailed logging for samplers using google's Flogger
  • graphviz-based visualization of compute and IR graphs
  • a Lookup node for more compact compute graphs
  • a significant overhaul of the compute layer to allow batched evaluation of large observation vectors
  • an "empirical HMC" sampler courtesy of @jonnylaw that provides a lightweight NUTS alternative
Loading

Mixture params and performance improvements

Mixture params and performance improvements

Choose a tag to compare

View all tags
@avi-stripe avi-stripe released this 20 Jul 22:31
v0.1.3
71ea4af
This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
GPG key ID: 4AEE18F83AFDEB23
Expired
Verified
Learn about vigilant mode. 
Merge pull request #175 from stripe/minmax

Rectifier
Loading

0.1.1

0.1.1

Choose a tag to compare

View all tags
@avi-stripe avi-stripe released this 05 Jun 19:11
v0.1.1
bd099b2
This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
GPG key ID: 4AEE18F83AFDEB23
Expired
Verified
Learn about vigilant mode.

This release includes:

  • significant scalability improvements to HMC; CPU time should scale linearly with the number of iterations, rather than hitting a garbage collection wall; some quadratic performance bugs in deriving gradients have also been fixed.
  • much improved diagnostics, including: effectiveSampleSize computation, simulation-based calibration support, and fancy trace plots and corner plots using EvilPlot
  • assorted bug fixes
  • richer examples

Special thanks to @darrenjw for all his contributions and stress-testing in this release cycle.

Loading