promote.deploy {promote} | R Documentation |
Deploy a model to promote's servers
Description
This function takes model.predict and creates
a model on promote's servers which can be called from any programming language
via promote's REST API (see promote.predict
).
Usage
promote.deploy(model_name, confirm = TRUE, custom_image = NULL)
Arguments
model_name |
name of your model |
confirm |
boolean indicating whether to prompt before deploying |
custom_image |
name of the image you'd like your model to use |
Examples
promote.config <- c(
username = "your username",
apikey = "your apikey",
env = "http://sandbox.promotehq.com/"
)
iris$Sepal.Width_sq <- iris$Sepal.Width^2
fit <- glm(I(Species)=="virginica" ~ ., data=iris)
model.predict <- function(df) {
data.frame("prediction"=predict(fit, df, type="response"))
}
## Not run:
promote.library("randomForest")
promote.deploy("irisModel")
## End(Not run)
[Package promote version 1.1.1 Index]