deanie

An embedded probabilistic programming language.
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commit 37045f82401d18a63be4d333cff9b9053b927d3a
parent 920b2616aaf9662a06880f8a69cdeb9584f2f7eb
Author: Jared Tobin <jared@jtobin.ca>
Date:   Mon,  6 Mar 2017 21:36:48 +1300

Fix typo.

Diffstat:
MREADME.md | 4++--
1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md @@ -46,8 +46,8 @@ Or convert them to measures using a built-in interpreter: ![](assets/mixture_cdf.png) You can perform inference on models using rejection or importance sampling, or -use a simple, stateful Metropolis backend. Here's a simple beta-bernoulli model -conditioned on the provided observations: +use a simple, stateful Metropolis backend. Here's a simple beta-bernoulli +model, plus some observations to condition on: ``` haskell betaBernoulli :: Double -> Double -> Program Bool