Comments (12)
I think the process we should have is to do all the development in dev
and cherry pick any bug fixes or quick fixes into master
before a release, so that master
doesn't change as much as it does now.
from dynamicppl.jl.
Since many commits affected the same files and functions, I guess it's also tricky to actually cherry pick commits and still ensure that nothing is broken and we don't reintroduce stuff that was removed at some point.
from dynamicppl.jl.
Nope, go for it.
from dynamicppl.jl.
Sounds reasonable, we started using the same setup for MCMCChains some time ago. However, it's not ideal yet, I noticed that we have a bunch of fixes in the master branch that are not included in the dev branch. I'm not sure what's the best way to handle it, maybe we should just merge master from time to time or cherrypick these commits? Or just merge the dev branch often enough 😄
from dynamicppl.jl.
I agree.
from dynamicppl.jl.
I will create a dev branch and reset master to the latest release then cherry-pick non-breaking changes.
from dynamicppl.jl.
Is this necessary, can't we just update Turing and start using a dev branch from now on? Many changes were just internal or should only affect Inference.jl. And AbstractMCMC 1.0 requires to update Inference.jl anyways.
from dynamicppl.jl.
Sounds good, let's update Turing instead then. There are about a 100 commits or so since the last release so yes cherry-picking will be a nightmare.
from dynamicppl.jl.
Does anyone here object to a DPPL release?
from dynamicppl.jl.
from dynamicppl.jl.
I guess this is done now? At least if we actually remember to use the dev branch :)
from dynamicppl.jl.
Yes, and I think lately we actually started using the dev branch, so I'll close this for now.
from dynamicppl.jl.
Related Issues (20)
- @model macro breaks on conditional branches with return values HOT 2
- MCMCChains for Julia < 1.9
- `logprior`, `loglikelihood`, `logjoint` are not working with `MCMCChains` in Julia 1.9 HOT 1
- Derived variables from data on the LHS of tilde HOT 10
- Decouple from Distributions.jl HOT 8
- ThreadSafeVarInfo(::SimpleVarInfo) bug with ForwardDiff HOT 1
- Need alternative to `NamedTuple` for `SimpleVarInfo` HOT 12
- Storing returned values in `VarInfo`.
- `BangBang.setindex!!(vi::SimpleVarInfo{<:AbstractDict}, val, vn::VarName)` returns eltype Any arrays when `vn` is multidimensional HOT 1
- Remove `tonamedtuple`
- Can't use `@info` in models HOT 1
- Move TestUtils to an extension
- `SimpleVarInfo` sometimes returns a `SimpleVarInfo` with `Int`-type `logp` and creates down-stream errors HOT 1
- Roadmap for removal of `Selector` shenanigans HOT 2
- change defaults: @addlogprob! not included in PriorContext() HOT 5
- Type-instability when using type-parameters HOT 1
- Type instability in unflatten for medium / large tuples HOT 6
- DynamicPPL..jl tests 23 Broken. HOT 3
- Introduce a convenience function, `AutoType`, to hide `TypeWrap`.
- Issue with ReverseDiff and undef on Julia v1.7 HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from dynamicppl.jl.