Comments (1)
Yes, you need to make a new distribution object, and a minimal implementation is mostly just implementing see score
and sample
. The main thing I wanted to say is that there are some vague pointers about all this here.
Also will sampling/marginalization works for larger M and N ?
I'm don't know what distribution you have in mind, possibly because non of this stuff is fresh in my mind, so I don't know what sample
looks like. Marginalization is implemented by the inference algorithms.
from webppl.
Related Issues (20)
- Add reparameterisation for logNormal HOT 3
- Variable going out of scope when other variables are defined HOT 2
- Nested map and reduce HOT 3
- Support of multinomial broken by deprecated object() method from lodash
- Add Student's t-distribution HOT 9
- get statistics from RVs HOT 2
- Pretty printing of distributions doesn't work as expected under Node 12 HOT 1
- `let` unexpectedly parsed as variable declaration
- [tutorial] unnecessary function wrapping HOT 1
- Documentation for Distribution.support() lacking HOT 2
- Support ES6 default parameters
- Is there a forum or help desk to ask some beginner questions? HOT 1
- Still maintained and StudentT distribution HOT 1
- REPL shell ? HOT 3
- Unexpected output in installation from github HOT 3
- Usage help: observed data HOT 2
- .some() method behaves unexpectedly HOT 2
- reduce function processes arguments in the wrong order
- Set up HTTPS for WebPPL website
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 webppl.