Text.Classification

hanaml.Text.Classification is a R wrapper for SAP HANA PAL Text Classification algorithm.

hanaml.Text.Classification(
  pred.data,
  ref.data = NULL,
  k.nearest.neighbours = NULL,
  thread.ratio = NULL
)

Arguments

pred.data	DataFrame The prediction data for classification.
ref.data	DataFrame, optional The reference data for classification.
k.nearest.neighbours	integer, optional Number of nearest neighbors (k).
thread.ratio	double, optional Specifies the ratio of total number of threads that can be used by this function. The range of this parameter is from 0 to 1, where 0 means only using 1 thread, and 1 means using at most all the currently available threads. Values outside this range are ignored and this function heuristically determines the number of threads to use.

Value

List of DataFrames
DataFrames of text classification results:

• DataFrame 1: Text classification result

• DataFrame 2: Statistics table

Examples

Input DataFrame data:

> data$collect()
        ID                                                  CONTENT       CATEGORY
  0   doc1                      term1 term2 term2 term3 term3 term3     CATEGORY_1
  1   doc2                      term2 term3 term3 term4 term4 term4     CATEGORY_1
  2   doc3                      term3 term4 term4 term5 term5 term5     CATEGORY_2
  3   doc4    term3 term4 term4 term5 term5 term5 term5 term5 term5     CATEGORY_2
  4   doc5                                              term4 term6     CATEGORY_3
  5   doc6                                  term4 term6 term6 term6     CATEGORY_3

Call the function:

> result <- hanaml.Text.Classification(data$Select(data$columns[0], data$columns[1]), data)

Output:

> result[[1]]$head(1)$Collect()
          ID              TARGET
   0    doc1          CATEGORY_1