rdoc for h2o.makeGLMModel added

R/h2o-package/man/h2o.makeGLMModel.Rd

@@ -0,0 +1,46 @@
+\name{h2o.makeGLMModel}
+\alias{h2o.makeGLMModel}
+\title{
+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{
+  \item{model}{An \code{\linkS4class{H2OGLMModel}} object whose coefficients
+    will be changed.}
+  \item{beta}{A named vector of the coefficients that will replace the coefficients
+    named vector in the model.}
+}
+\value{
+  Returns an object of class \code{\linkS4class{H2OGLMModel}} with slots \code{key},
+  \code{data}, \code{model}, and \code{xval}.
+}
+\seealso{
+  \code{\link{h2o.glm}}, \code{\linkS4class{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 --
+}