Return the GLM linear constraints descriptions, constraints values, constraints bounds and whether the constraints satisfied the bounds (true) or not (false)

h2o.get_constraints_info(object)

Arguments

object	An H2OModel object.

Examples

if (FALSE) {
library(h2o)
h2o.init()

f <- "https://s3.amazonaws.com/h2o-public-test-data/smalldata/junit/cars_20mpg.csv"
cars <- h2o.importFile(f)
predictors <- c("displacement", "power", "weight", "acceleration", "year")
response <- "acceleration"
colnames <- c("power", "weight", "constant")
values <- c(0.5, 1.0, 100)
types <- c("lessthanequal", "lessthanequal", "lessthanequal")
numbers <- c(0, 0, 0)
con <- data.frame(names=colnames, values=values, types=types, constraint_numbers=numbers)
cars_model <- h2o.glm(y=response, solver="irlsm",
                                 x=predictors,
                                 training_frame = cars,
                                 linear_constraints=as.h2o(con),
                                 lambda=0.0,
                                 family="gaussian")
print(h2o.get_constraints_info(cars_model))
}