The SigOpt public R client.
Learn more about SigOpt and R from our docs.
# install.packages("devtools")
library(devtools)
install_github("sigopt/SigOptR")
library(SigOptR)
Set the environment variable SIGOPT_API_TOKEN to the value of the API Token found on the user dashboard of signed in users.
Sys.setenv(SIGOPT_API_TOKEN=sigopt_api_token)
Run SigOpt's Optimization Loop for a small function:
experiment <- create_experiment(list(
name="Franke Optimization",
parameters=list(
list(name="x", type="double", bounds=list(min=0.0, max=1.0)),
list(name="y", type="double", bounds=list(min=0.0, max=1.0))
)
))
print(paste(
"Created experiment: https://sigopt.com/experiment/",
experiment$id,
sep=""
))
# Evaluate your model with the suggested parameter assignments
# Franke function - http://www.sfu.ca/~ssurjano/franke2d.html
evaluate_model <- function(assignments) {
return(franke(assignments$x, assignments$y))
}
# Run the Optimization Loop between 10x - 20x the number of parameters
for(i in 1:20) {
suggestion <- create_suggestion(experiment$id)
value <- evaluate_model(suggestion$assignments)
create_observation(experiment$id, list(
suggestion=suggestion$id,
value=value
))
}
(optional variant) Report an Observation with standard deviation
create_observation(experiment$id, list(suggestion=suggestion$id, value=value, value_stddev=value_standard_deviation))
SigOptR supports a subset of API endpoints:
create_experimentcreate_suggestioncreate_observation
These should be sufficient to run SigOpt's Optimization Loop.
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