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I want to run simulations and get certain statistics about some marginal distributions.
Say I have a program like
```
var model = function() {
var x = gaussian(0,1);
var y = x + gaussian(0,1)…
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Issue #828 was raised for broken link in the docs. The http://webppl.org page still has two references to the probmods/v2 link (Documentation and Publication sections).
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I think we updated the webppl version to use lodash internally, but some of the code in the BDA chapter uses the underscore forms (e.g. _.where) so the code breaks.
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* Reparameterize to alpha * inf - beta * cost
* Do Savage-Dickey for model comparison
* Marginalize over posterior params instead of taking MAP
* Do this in webppl (for human and direct fc6)
*…
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Options include: data passing, external model inference declaration, random seed, sort_by, chains
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Using Ubuntu 16.04 and R 4.3.4, I get the following error when running
> devtools::install_github("mhtess/rwebppl")
```
Downloading GitHub repo mhtess/rwebppl@master
from URL https://api.gi…
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We have been discussing with @fritzo about getting a version of enumeration working that can do dependent variables, such as in an HMM. It seems that the current enumeration routines are pretty close …
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would be great to be able to pass a random seed to webppl as an argument, to promote computational reproducibility.
http://webppl.readthedocs.io/en/master/usage.html
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The language intro tutorials are somewhat out of step with the way Pyro tends to be used, causing some confusion for users. In particular, we should probably just remove all mentions in Part 2 of imp…
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hi guys, rwebppl is very useful!
but as usual, debugging is quite hard. for example, every error starts with:
```
Error in run_webppl(program_code = program_code, program_file = program_file, :
…