Teradata R Package Function Reference - NaiveBayes - Teradata R Package - Look here for syntax, methods and examples for the functions included in the Teradata R Package.

Description

The NaiveBayesMap and NaiveBayesReduce functions generate a model from training data. A table of training data is input to the NaiveBayesMap function. Output of NaiveBayesMap is input to the NaiveBayesReduce function, which outputs the model.

Usage

  td_naivebayes_mle (
      formula = NULL,
      data = NULL
  )

Arguments

Value

Function returns an object of class "td_naivebayes_mle" which is a named list containing Teradata tbl object.
Named list member can be referenced directly with the "$" operator using name: result

Examples

    # Get the current context/connection
    con <- td_get_context()$connection
    
    # Load data
    loadExampleData("naivebayes_example1", "nb_iris_input_train")
    
     # Create remote tibble objects.
    nb_iris_input_train <- tbl(con, "nb_iris_input_train")

    #Run the train function
    naivebayes_train <- td_naivebayes_mle(formula=(species ~ petal_length + sepal_width + petal_width + sepal_length), 
                                      data=nb_iris_input_train)