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RZigZag 0.2.0
- general refactoring which is unfortunately not downwards
compatible
- R helper functions to obtain ESS and samples from skeleton
- transposed dataX matrix in logistic regression: now the different
rows of dataX represent different observations
- allow user to provide starting direction and custom reference points
for control variates (ZigZagLogistic)
- BPS and Zig-Zag routinesStudent distributions
RZigZag 0.1.6
- Allows for fixed time horizon (in additional to fixed number of
iterations)
- Preprocessing of input to logistic regression disabled. Adding
intercept to design matrix and possible recentering is up to user.
RZigZag 0.1.5
- Implements Bouncy Particle Sampler for Gaussian target
- Allows to specify starting value for ZigZagGaussian
RZigZag 0.1.4
- Changed from n_epochs argument to n_iter, representing number of
iterations, as this is more flexible. This update is not downwards
compatible, but if you want to run ZigZagLogistic when subsampling (with
or without control variates) with n_epochs gradient evaluations, simply
pick n_iter = n_epochs * (number of observations).
- Resolved ambiguities in overloaded functions which previously
resulted in a compile error on Solaris.
RZigZag 0.1.3
- Corrected arXiv reference
RZigZag 0.1.1
- This is the first version, which introduces the R functions
ZigZagLogistic
and ZigZagGaussian
.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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