h2o (version 2.8.4.4)

h2o.makeGLMModel: Create a GLM Model.

Description

The user can modified the coefficients in an already built GLM Model, modified GLM model will have warning attached letting the user know that it is a modified and hand made model object that is not built using native h2o.glm function.

Usage

h2o.makeGLMModel(model, beta)

Arguments

model

An H2OGLMModel object whose coefficients will be changed.

beta

A named vector of the coefficients that will replace the coefficients named vector in the model.

Value

• Returns an object of class H2OGLMModel with slots key, data, model, and xval.

See Also

h2o.glm, H2OGLMModel

Examples

# -- CRAN examples begin --
library(h2o)
localH2O = h2o.init()

# Run GLM of CAPSULE ~ AGE + RACE + PSA + DCAPS
prostatePath = system.file("extdata", "prostate.csv", package = "h2o")
prostate.hex = h2o.importFile(localH2O, path = prostatePath, key = "prostate.hex")
prostate.glm = h2o.glm(y = "CAPSULE", x = c("AGE","RACE","PSA","DCAPS"), data = prostate.hex, 
        family = "binomial", nfolds = 0, alpha = 0.5, lambda_search = FALSE, 
        use_all_factor_levels = FALSE, variable_importances = FALSE,
        higher_accuracy = FALSE)

# Change coefficient for AGE variable to 0.5
coeff = prostate.glm@model$coefficients
coeff["AGE"] = 0.5
prostate.glm2 = h2o.makeGLMModel(model = prostate.glm, beta = coeff)
# -- CRAN examples end --