promote.deploy: Deploy a model to promote's servers

In promote: Client for the 'Alteryx Promote' API

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)

promote documentation built on May 2, 2019, 2:59 p.m.