Return the coefficients table with coefficients, standardized coefficients, p-values, z-values and std-error for GLM models

h2o.coef_with_p_values(object)

Arguments

object: An H2OModel object.

Examples

if (FALSE) { # \dontrun{
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 <- "cylinders"
cars_split <- h2o.splitFrame(data = cars, ratios = 0.8, seed = 1234)
train <- cars_split[[1]]
valid <- cars_split[[2]]
cars_glm <- h2o.glm(seed = 1234, 
                    lambda=0.0,
                    compute_p_values=TRUE,
                    x = predictors, 
                    y = response, 
                    training_frame = train, 
                    validation_frame = valid)
h2o.coef_with_p_values(cars_glm)
} # }