deployBandit: Deploy a bayesBandit object as a JSON API.
In FrankPortman/bayesAB: Fast Bayesian Methods for AB Testing

Description Usage Arguments Details Value Examples

Turn your bayesBandit object into an API and serve/update requests through HTTP.

1	deployBandit(bandit, port = 8000)

`bandit`	a bayesBandit object
`port`	port to deploy on

deployBandit turns a Bayesian bandit into a JSON API that accepts curl requests. Two of the five methods of bayesBandit classes are exposed: serveRecipe and setResults. Assuming the API is deployed on localhost this is an example of how it would be hit:

curl http://localhost:8000/serveRecipe

curl --data '{"A":[1, 0, 1, 1], "B":[0, 0, 0, 1]}' http://localhost:8000/setResults

An active http process on some port.

A_binom <- rbinom(100, 1, .5)
B_binom <- rbinom(100, 1, .6)

AB1 <- bayesTest(A_binom, B_binom, priors = c('alpha' = 1, 'beta' = 1), distribution = 'bernoulli')

binomialBandit <- banditize(AB1)
## Not run: deployBandit(binomialBandit)