glm2java {glm.deploy}

Java source code generator for rapid deployment of glm predictive models

Description

The glm2java() function is used to generate source code in Java language implementing a given glm predictive model. It implements the following two methods; the glm_xxx_response() and glm_xxx_link(), where xxx stands for the name of the target variable of the glm object.

After invocation of the glm2java(), a .java file is generated containing the two predict methods which are declared as public static inside a java class called "glm_xxx_class".

Usage

glm2java(model, filename = NULL, path = NULL)

Arguments

model

A fitted object of class "glm".

filename

OPTIONAL The name of the output file, the default file name is "glm_xxx_class.java", where xxx is the target variable's name.

path

The directory path where files are going to be saved.

Note

All numeric variables used as input to the glm object are treated as doubles, whereas factors variables are treated as strings.

Author(s)

Oscar Castro-Lopez, Ines Vega-Lopez

See Also

glm2java

Examples

 # Example with the iris dataset with a Logical target and numeric
 # variables, using the binomial family and the logit link function
 data(iris)
 iristest = iris
 iristest$Virginica = ifelse(iristest$Species == 'virginica', TRUE,FALSE)
 iristest$Species = NULL

 # Load Package
 library(glm.deploy)
 # For repeatable results
 set.seed(123)
 # Generate the fitted glm object
 m = glm(Virginica ~ ., family = binomial(logit), data=iristest)
 # Call the glm2java() function with default filename
 glm2java(m,, tempdir())
 # Call the glm2java() function with custom filename
 glm2java(m,'my_glm_virginica', tempdir())

 # The glm2java() function generates the file "glm_virginica_class.java".

## Not run: 
----------Contents of the "glm_virgninica_class.java" file-------
  package test;
  public class glm_virginica_class{

  public static double glm_virginica_link(double sepal_length,
                                          double sepal_width,
                                          double petal_length,
                                          double petal_width){
      double new_sepal_length = -2.46522019518341 * sepal_length;
      double new_sepal_width = -6.68088701405762 * sepal_width;
      double new_petal_length = 9.4293851538836 * petal_length;
      double new_petal_width = 18.2861368877881 * petal_width;

      return -42.6378038127854+new_sepal_length+
                               new_sepal_width+
                               new_petal_length+
                               new_petal_width;
    }
    public static double glm_virginica_response(double sepal_length,
                                                double sepal_width,
                                                double petal_length,
                                                double petal_width){
      return 1/(1+Math.exp(-glm_virginica_link(sepal_length,
                                               sepal_width,
                                               petal_length,
                                               petal_width)));
    }

  }
---------------End of "glm_virgninica_class.java"---------------
----------------------------------------------------------------
To use these methods in another class just add
the "import glm_virginica_class.*;"

## End(Not run)